`150e9d8`

5.2 & 5.3: Smart Redundancy and Market Dynamics

Authored by mfwolffe <wolffemf@dukes.jmu.edu> 8 months ago

SHA: 150e9d8dfe2b765f8145e95181ce3aaf3fe2e30c
Parents: a3be0d1
Tree: 8baa2e6

20 changed files

Status	File	+
M	`src/lib.rs`	10
A	`src/market/auction_system.rs`	2081
A	`src/market/bandwidth_market.rs`	1988
A	`src/market/dynamic_pricing.rs`	634
A	`src/market/load_balancer.rs`	1068
A	`src/market/mod.rs`	45
A	`src/market/pricing_oracles.rs`	666
A	`src/market/quality_service.rs`	1112
A	`src/market/regional_optimizer.rs`	1145
A	`src/market/sla_manager.rs`	2177
A	`src/redundancy/auto_replication.rs`	1045
A	`src/redundancy/geographic_optimizer.rs`	1108
A	`src/redundancy/health_monitor.rs`	1167
A	`src/redundancy/intelligent_replication.rs`	979
A	`src/redundancy/mod.rs`	50
A	`src/redundancy/network_health_monitor.rs`	834
A	`src/redundancy/predictive_replication.rs`	660
A	`src/redundancy/recovery_optimizer.rs`	952
A	`src/redundancy/reed_solomon.rs`	714
A	`src/redundancy/reputation_system.rs`	539

src/lib.rsmodified

  pub mod economics;
  pub mod allocation;
 +// Phase 5.2: Smart Redundancy & Data Durability
 +pub mod redundancy;
++
  pub use crypto::{
      ZephyrCrypto, CryptoParams, ScryptParams, AesParams, HashParams,
      ContentHasher, VerificationHasher, EncryptedData, ContentId, HashAlgorithm
  };
  pub use allocation::{
      DemocraticAllocationManager, AllocationStrategy, AllocationQuality
 +};
++
 +// Phase 5.2: Smart redundancy system exports
 +pub use redundancy::{
 +    IntelligentReplicationManager, GeographicOptimizer, ChunkHealthMonitor,
 +    AutoReplicationManager, ReplicationStrategy, GeographicDistribution,
 +    HealthStatus, ReplicationStatus
  };

src/market/auction_system.rsadded

2081 lines changed — click to load

 +//! Resource Auction System
 +//!
 +//! Auction-based resource allocation for storage and bandwidth contracts
++
 +use serde::{Deserialize, Serialize};
 +use std::collections::{HashMap, BTreeMap};
 +use tokio::time::{Duration, Instant};
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct StorageAuction {
 +    pub auction_id: String,
 +    pub auction_type: AuctionType,
 +    pub resource_specification: StorageSpecification,
 +    pub auction_parameters: AuctionParameters,
 +    pub current_state: AuctionState,
 +    pub bids: Vec<BidSubmission>,
 +    pub auction_result: Option<AuctionResult>,
 +    pub created_at: Instant,
 +    pub auction_duration: Duration,
 +    pub reserve_price: Option<f64>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BandwidthAuction {
 +    pub auction_id: String,
 +    pub auction_type: AuctionType,
 +    pub resource_specification: BandwidthSpecification,
 +    pub auction_parameters: AuctionParameters,
 +    pub current_state: AuctionState,
 +    pub bids: Vec<BidSubmission>,
 +    pub auction_result: Option<AuctionResult>,
 +    pub created_at: Instant,
 +    pub auction_duration: Duration,
 +    pub time_slot: TimeSlot,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum AuctionType {
 +    English,        // Ascending price auction
 +    Dutch,          // Descending price auction
 +    Sealed,         // Sealed-bid auction
 +    Vickrey,        // Second-price sealed-bid
 +    Combinatorial,  // Multiple items/attributes
 +    Reverse,        // Buyers specify price, sellers compete
 +    MultiUnit,      // Multiple identical units
 +    DoubleAuction,  // Both buyers and sellers submit bids
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct StorageSpecification {
 +    pub storage_size_gb: u64,
 +    pub duration_hours: u64,
 +    pub redundancy_level: u8,
 +    pub geographic_requirements: Vec<String>,
 +    pub performance_tier: PerformanceTier,
 +    pub encryption_requirements: EncryptionRequirements,
 +    pub compliance_requirements: Vec<ComplianceRequirement>,
 +    pub access_patterns: AccessPatterns,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BandwidthSpecification {
 +    pub bandwidth_mbps: u64,
 +    pub duration_hours: u64,
 +    pub latency_requirements: LatencyRequirements,
 +    pub geographic_path: Vec<String>,
 +    pub quality_of_service: QoSRequirements,
 +    pub traffic_patterns: TrafficPatterns,
 +    pub time_flexibility: TimeFlexibility,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum PerformanceTier {
 +    Economy,    // Shared resources, best effort
 +    Standard,   // Guaranteed baseline performance
 +    Premium,    // High performance, dedicated resources
 +    Enterprise, // Maximum performance, custom SLA
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct EncryptionRequirements {
 +    pub at_rest: bool,
 +    pub in_transit: bool,
 +    pub zero_knowledge: bool,
 +    pub key_management: KeyManagementRequirements,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum KeyManagementRequirements {
 +    ClientManaged,
 +    ServiceManaged,
 +    HybridManaged,
 +    HSMRequired,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ComplianceRequirement {
 +    GDPR,
 +    HIPAA,
 +    SOX,
 +    PCI_DSS,
 +    ISO27001,
 +    SOC2,
 +    FedRAMP,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AccessPatterns {
 +    pub read_frequency: AccessFrequency,
 +    pub write_frequency: AccessFrequency,
 +    pub peak_usage_times: Vec<TimeWindow>,
 +    pub concurrent_access_users: u32,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum AccessFrequency {
 +    Archive,    // Rarely accessed
 +    Cold,       // Infrequent access
 +    Warm,       // Regular access
 +    Hot,        // Frequent access
 +    RealTime,   // Continuous access
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct LatencyRequirements {
 +    pub max_latency_ms: u32,
 +    pub jitter_tolerance_ms: u32,
 +    pub packet_loss_tolerance: f64,
 +    pub priority_level: PriorityLevel,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum PriorityLevel {
 +    BestEffort,
 +    Standard,
 +    Priority,
 +    Guaranteed,
 +    RealTime,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct QoSRequirements {
 +    pub minimum_throughput: f64,
 +    pub burst_capacity: f64,
 +    pub availability_target: f64,
 +    pub error_rate_threshold: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct TrafficPatterns {
 +    pub traffic_type: TrafficType,
 +    pub peak_to_average_ratio: f64,
 +    pub seasonality: SeasonalPattern,
 +    pub predictability: f64, // 0.0 = unpredictable, 1.0 = very predictable
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum TrafficType {
 +    Web,        // HTTP/HTTPS traffic
 +    Streaming,  // Video/audio streaming
 +    FileTransfer, // Large file transfers
 +    Database,   // Database queries
 +    Backup,     // Backup operations
 +    Gaming,     // Low-latency gaming
 +    IoT,        // IoT sensor data
 +    Voice,      // VoIP traffic
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct SeasonalPattern {
 +    pub daily_peak_hours: Vec<u8>,
 +    pub weekly_peak_days: Vec<u8>,
 +    pub monthly_variations: [f64; 12],
 +    pub special_events: Vec<SpecialEvent>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct SpecialEvent {
 +    pub event_name: String,
 +    pub expected_traffic_multiplier: f64,
 +    pub duration: Duration,
 +    pub advance_notice: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct TimeFlexibility {
 +    pub can_reschedule: bool,
 +    pub acceptable_delay: Duration,
 +    pub preferred_time_windows: Vec<TimeWindow>,
 +    pub blackout_periods: Vec<TimeWindow>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct TimeWindow {
 +    pub start_time: Instant,
 +    pub end_time: Instant,
 +    pub preference_score: f64, // 0.0 = avoid, 1.0 = preferred
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct TimeSlot {
 +    pub slot_id: String,
 +    pub start_time: Instant,
 +    pub end_time: Instant,
 +    pub resource_capacity: f64,
 +    pub current_allocation: f64,
 +    pub pricing_multiplier: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AuctionParameters {
 +    pub starting_price: Option<f64>,
 +    pub minimum_bid_increment: f64,
 +    pub bid_timeout: Duration,
 +    pub max_participants: Option<u32>,
 +    pub qualification_criteria: QualificationCriteria,
 +    pub payment_terms: PaymentTerms,
 +    pub cancellation_policy: CancellationPolicy,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct QualificationCriteria {
 +    pub minimum_reputation_score: f64,
 +    pub required_certifications: Vec<String>,
 +    pub minimum_capacity: f64,
 +    pub geographic_presence: Vec<String>,
 +    pub financial_requirements: FinancialRequirements,
 +    pub technical_requirements: TechnicalRequirements,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct FinancialRequirements {
 +    pub minimum_stake: f64,
 +    pub insurance_coverage: f64,
 +    pub credit_rating: Option<String>,
 +    pub deposit_requirement: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct TechnicalRequirements {
 +    pub minimum_uptime_history: f64,
 +    pub required_bandwidth_capacity: f64,
 +    pub supported_protocols: Vec<String>,
 +    pub monitoring_capabilities: bool,
 +    pub sla_compliance_history: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PaymentTerms {
 +    pub payment_schedule: PaymentSchedule,
 +    pub accepted_currencies: Vec<String>,
 +    pub escrow_requirements: bool,
 +    pub penalty_clauses: Vec<PenaltyClause>,
 +    pub performance_bonds: Option<f64>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum PaymentSchedule {
 +    Upfront,
 +    Monthly,
 +    PayPerUse,
 +    Milestone,
 +    Custom(String),
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PenaltyClause {
 +    pub violation_type: String,
 +    pub penalty_amount: f64,
 +    pub grace_period: Duration,
 +    pub escalation_policy: String,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CancellationPolicy {
 +    pub cancellation_deadline: Duration, // Before auction start
 +    pub cancellation_fee: f64,
 +    pub refund_policy: RefundPolicy,
 +    pub force_majeure_clauses: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum RefundPolicy {
 +    NoRefund,
 +    PartialRefund(f64),
 +    FullRefund,
 +    ProRated,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum AuctionState {
 +    Created,
 +    Open,
 +    Active,
 +    ExtendedBidding, // If last-minute bids extend the auction
 +    Closed,
 +    Evaluating,
 +    Completed,
 +    Cancelled,
 +    Failed,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BidSubmission {
 +    pub bid_id: String,
 +    pub bidder_id: String,
 +    pub bid_amount: f64,
 +    pub bid_details: BidDetails,
 +    pub submitted_at: Instant,
 +    pub bid_status: BidStatus,
 +    pub bid_ranking: Option<u32>,
 +    pub confidence_score: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BidDetails {
 +    pub unit_price: f64,
 +    pub total_price: f64,
 +    pub service_level_commitments: ServiceLevelCommitments,
 +    pub additional_services: Vec<AdditionalService>,
 +    pub terms_and_conditions: TermsAndConditions,
 +    pub technical_proposal: TechnicalProposal,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ServiceLevelCommitments {
 +    pub uptime_guarantee: f64,
 +    pub performance_guarantee: PerformanceGuarantee,
 +    pub response_time_guarantee: Duration,
 +    pub support_level: SupportLevel,
 +    pub penalties_for_violations: Vec<PenaltyClause>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PerformanceGuarantee {
 +    pub minimum_throughput: f64,
 +    pub maximum_latency: Duration,
 +    pub maximum_jitter: Duration,
 +    pub maximum_packet_loss: f64,
 +    pub availability_percentage: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum SupportLevel {
 +    Basic,      // Email support, business hours
 +    Standard,   // 24/7 email, business hours phone
 +    Premium,    // 24/7 phone and email support
 +    Enterprise, // Dedicated support team
 +    White_Glove, // Fully managed service
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AdditionalService {
 +    pub service_name: String,
 +    pub service_description: String,
 +    pub additional_cost: f64,
 +    pub service_category: ServiceCategory,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ServiceCategory {
 +    Monitoring,
 +    Analytics,
 +    Security,
 +    Compliance,
 +    Integration,
 +    Consulting,
 +    Training,
 +    Migration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct TermsAndConditions {
 +    pub liability_limits: f64,
 +    pub indemnification_clauses: Vec<String>,
 +    pub data_handling_terms: DataHandlingTerms,
 +    pub termination_clauses: Vec<String>,
 +    pub dispute_resolution: DisputeResolution,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct DataHandlingTerms {
 +    pub data_retention_period: Duration,
 +    pub data_deletion_guarantees: bool,
 +    pub data_portability: bool,
 +    pub third_party_access: ThirdPartyAccess,
 +    pub audit_rights: AuditRights,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ThirdPartyAccess {
 +    Prohibited,
 +    LimitedToSubcontractors,
 +    WithConsent,
 +    AsRequiredByLaw,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AuditRights {
 +    pub customer_audit_rights: bool,
 +    pub third_party_audits: bool,
 +    pub audit_frequency: AuditFrequency,
 +    pub audit_scope: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum AuditFrequency {
 +    OnDemand,
 +    Quarterly,
 +    BiAnnually,
 +    Annually,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum DisputeResolution {
 +    Negotiation,
 +    Mediation,
 +    Arbitration,
 +    Litigation(String), // Jurisdiction
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct TechnicalProposal {
 +    pub implementation_plan: ImplementationPlan,
 +    pub infrastructure_details: InfrastructureDetails,
 +    pub monitoring_approach: MonitoringApproach,
 +    pub backup_and_recovery: BackupRecoveryPlan,
 +    pub scalability_plan: ScalabilityPlan,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ImplementationPlan {
 +    pub deployment_timeline: Vec<Milestone>,
 +    pub resource_allocation: ResourceAllocation,
 +    pub risk_mitigation: Vec<RiskMitigation>,
 +    pub testing_strategy: TestingStrategy,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct Milestone {
 +    pub milestone_id: String,
 +    pub description: String,
 +    pub target_date: Instant,
 +    pub deliverables: Vec<String>,
 +    pub success_criteria: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ResourceAllocation {
 +    pub dedicated_resources: Vec<DedicatedResource>,
 +    pub shared_resources: Vec<SharedResource>,
 +    pub resource_scaling_policy: ResourceScalingPolicy,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct DedicatedResource {
 +    pub resource_type: String,
 +    pub capacity: f64,
 +    pub location: String,
 +    pub availability: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct SharedResource {
 +    pub resource_type: String,
 +    pub allocated_capacity: f64,
 +    pub total_capacity: f64,
 +    pub sharing_policy: String,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ResourceScalingPolicy {
 +    pub auto_scaling_enabled: bool,
 +    pub scaling_triggers: Vec<ScalingTrigger>,
 +    pub maximum_scale: f64,
 +    pub scaling_response_time: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ScalingTrigger {
 +    pub metric_name: String,
 +    pub threshold_value: f64,
 +    pub scaling_action: ScalingAction,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ScalingAction {
 +    ScaleUp(f64),
 +    ScaleDown(f64),
 +    Alert,
 +    Maintain,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RiskMitigation {
 +    pub risk_description: String,
 +    pub likelihood: f64,
 +    pub impact: f64,
 +    pub mitigation_strategy: String,
 +    pub contingency_plan: String,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct TestingStrategy {
 +    pub testing_phases: Vec<TestingPhase>,
 +    pub performance_benchmarks: Vec<PerformanceBenchmark>,
 +    pub acceptance_criteria: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct TestingPhase {
 +    pub phase_name: String,
 +    pub test_types: Vec<TestType>,
 +    pub duration: Duration,
 +    pub success_criteria: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum TestType {
 +    UnitTesting,
 +    IntegrationTesting,
 +    PerformanceTesting,
 +    SecurityTesting,
 +    UserAcceptanceTesting,
 +    LoadTesting,
 +    StressTesting,
 +    DisasterRecoveryTesting,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PerformanceBenchmark {
 +    pub metric_name: String,
 +    pub target_value: f64,
 +    pub measurement_method: String,
 +    pub acceptable_variance: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct InfrastructureDetails {
 +    pub network_topology: NetworkTopology,
 +    pub security_architecture: SecurityArchitecture,
 +    pub redundancy_design: RedundancyDesign,
 +    pub capacity_management: CapacityManagement,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct NetworkTopology {
 +    pub topology_type: String,
 +    pub connection_points: Vec<ConnectionPoint>,
 +    pub bandwidth_allocation: BandwidthAllocation,
 +    pub routing_strategy: RoutingStrategy,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ConnectionPoint {
 +    pub location: String,
 +    pub connection_type: String,
 +    pub capacity: f64,
 +    pub redundancy_level: u8,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BandwidthAllocation {
 +    pub total_bandwidth: f64,
 +    pub reserved_bandwidth: f64,
 +    pub burst_capacity: f64,
 +    pub quality_classes: Vec<QualityClass>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct QualityClass {
 +    pub class_name: String,
 +    pub bandwidth_guarantee: f64,
 +    pub latency_target: Duration,
 +    pub priority: u8,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum RoutingStrategy {
 +    ShortestPath,
 +    LoadBalanced,
 +    QoSOptimized,
 +    CostOptimized,
 +    LatencyOptimized,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct SecurityArchitecture {
 +    pub encryption_standards: Vec<String>,
 +    pub access_control_mechanisms: Vec<AccessControlMechanism>,
 +    pub threat_detection: ThreatDetection,
 +    pub incident_response: IncidentResponsePlan,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AccessControlMechanism {
 +    pub mechanism_type: String,
 +    pub authentication_methods: Vec<String>,
 +    pub authorization_levels: Vec<String>,
 +    pub audit_logging: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ThreatDetection {
 +    pub detection_methods: Vec<String>,
 +    pub monitoring_coverage: f64,
 +    pub response_time: Duration,
 +    pub threat_intelligence: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct IncidentResponsePlan {
 +    pub response_team: Vec<String>,
 +    pub escalation_procedures: Vec<EscalationLevel>,
 +    pub communication_plan: CommunicationPlan,
 +    pub recovery_objectives: RecoveryObjectives,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct EscalationLevel {
 +    pub level: u8,
 +    pub trigger_conditions: Vec<String>,
 +    pub responsible_parties: Vec<String>,
 +    pub response_time: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CommunicationPlan {
 +    pub internal_communication: Vec<CommunicationChannel>,
 +    pub customer_communication: Vec<CommunicationChannel>,
 +    pub external_communication: Vec<CommunicationChannel>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CommunicationChannel {
 +    pub channel_type: String,
 +    pub contact_list: Vec<String>,
 +    pub message_templates: Vec<String>,
 +    pub escalation_timeline: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RecoveryObjectives {
 +    pub recovery_time_objective: Duration,
 +    pub recovery_point_objective: Duration,
 +    pub maximum_tolerable_downtime: Duration,
 +    pub data_loss_tolerance: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RedundancyDesign {
 +    pub redundancy_level: u8,
 +    pub failover_mechanisms: Vec<FailoverMechanism>,
 +    pub data_replication: DataReplicationStrategy,
 +    pub geographic_distribution: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct FailoverMechanism {
 +    pub mechanism_type: String,
 +    pub failover_time: Duration,
 +    pub automatic_failover: bool,
 +    pub testing_frequency: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum DataReplicationStrategy {
 +    Synchronous,
 +    Asynchronous,
 +    SemiSynchronous,
 +    MultiMaster,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CapacityManagement {
 +    pub current_capacity: f64,
 +    pub planned_capacity: f64,
 +    pub capacity_monitoring: CapacityMonitoring,
 +    pub expansion_plan: ExpansionPlan,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CapacityMonitoring {
 +    pub monitoring_frequency: Duration,
 +    pub capacity_thresholds: Vec<CapacityThreshold>,
 +    pub forecasting_models: Vec<String>,
 +    pub automated_alerts: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CapacityThreshold {
 +    pub threshold_name: String,
 +    pub threshold_value: f64,
 +    pub action_required: String,
 +    pub notification_list: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ExpansionPlan {
 +    pub expansion_triggers: Vec<String>,
 +    pub expansion_timeline: Duration,
 +    pub expansion_cost: f64,
 +    pub expansion_approval_process: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct MonitoringApproach {
 +    pub monitoring_tools: Vec<MonitoringTool>,
 +    pub key_metrics: Vec<KeyMetric>,
 +    pub alerting_strategy: AlertingStrategy,
 +    pub reporting_schedule: ReportingSchedule,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct MonitoringTool {
 +    pub tool_name: String,
 +    pub tool_purpose: String,
 +    pub integration_method: String,
 +    pub data_retention: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct KeyMetric {
 +    pub metric_name: String,
 +    pub measurement_unit: String,
 +    pub collection_frequency: Duration,
 +    pub baseline_value: f64,
 +    pub target_value: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AlertingStrategy {
 +    pub alert_channels: Vec<String>,
 +    pub alert_severity_levels: Vec<String>,
 +    pub escalation_rules: Vec<String>,
 +    pub alert_suppression_rules: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ReportingSchedule {
 +    pub daily_reports: Vec<String>,
 +    pub weekly_reports: Vec<String>,
 +    pub monthly_reports: Vec<String>,
 +    pub ad_hoc_reports: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BackupRecoveryPlan {
 +    pub backup_strategy: BackupStrategy,
 +    pub recovery_procedures: Vec<RecoveryProcedure>,
 +    pub backup_testing: BackupTesting,
 +    pub disaster_recovery: DisasterRecoveryStrategy,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BackupStrategy {
 +    pub backup_frequency: Duration,
 +    pub backup_retention: Duration,
 +    pub backup_types: Vec<BackupType>,
 +    pub backup_locations: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum BackupType {
 +    Full,
 +    Incremental,
 +    Differential,
 +    Snapshot,
 +    Continuous,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RecoveryProcedure {
 +    pub procedure_name: String,
 +    pub recovery_steps: Vec<String>,
 +    pub estimated_time: Duration,
 +    pub required_personnel: Vec<String>,
 +    pub success_criteria: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BackupTesting {
 +    pub testing_frequency: Duration,
 +    pub testing_procedures: Vec<String>,
 +    pub recovery_time_targets: Duration,
 +    pub testing_documentation: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct DisasterRecoveryStrategy {
 +    pub disaster_scenarios: Vec<DisasterScenario>,
 +    pub recovery_sites: Vec<RecoverySite>,
 +    pub business_continuity_plan: BusinessContinuityPlan,
 +    pub communication_during_disaster: CommunicationPlan,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct DisasterScenario {
 +    pub scenario_name: String,
 +    pub probability: f64,
 +    pub impact_assessment: String,
 +    pub response_plan: String,
 +    pub recovery_time: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RecoverySite {
 +    pub site_location: String,
 +    pub site_capacity: f64,
 +    pub activation_time: Duration,
 +    pub operational_status: String,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BusinessContinuityPlan {
 +    pub critical_functions: Vec<String>,
 +    pub minimum_staffing: HashMap<String, u32>,
 +    pub alternative_procedures: Vec<String>,
 +    pub stakeholder_communication: CommunicationPlan,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ScalabilityPlan {
 +    pub scaling_dimensions: Vec<ScalingDimension>,
 +    pub performance_projections: Vec<PerformanceProjection>,
 +    pub bottleneck_analysis: BottleneckAnalysis,
 +    pub scaling_timeline: Vec<ScalingMilestone>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ScalingDimension {
 +    pub dimension_name: String,
 +    pub current_capacity: f64,
 +    pub maximum_capacity: f64,
 +    pub scaling_factor: f64,
 +    pub scaling_constraints: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PerformanceProjection {
 +    pub load_level: f64,
 +    pub projected_performance: HashMap<String, f64>,
 +    pub confidence_interval: (f64, f64),
 +    pub assumptions: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BottleneckAnalysis {
 +    pub potential_bottlenecks: Vec<PotentialBottleneck>,
 +    pub mitigation_strategies: Vec<MitigationStrategy>,
 +    pub monitoring_indicators: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PotentialBottleneck {
 +    pub bottleneck_type: String,
 +    pub trigger_conditions: Vec<String>,
 +    pub impact_severity: f64,
 +    pub detection_method: String,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct MitigationStrategy {
 +    pub strategy_name: String,
 +    pub implementation_time: Duration,
 +    pub effectiveness: f64,
 +    pub cost: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ScalingMilestone {
 +    pub milestone_name: String,
 +    pub target_capacity: f64,
 +    pub target_date: Instant,
 +    pub required_investments: Vec<Investment>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct Investment {
 +    pub investment_type: String,
 +    pub amount: f64,
 +    pub timeline: Duration,
 +    pub roi_projection: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum BidStatus {
 +    Submitted,
 +    UnderReview,
 +    Qualified,
 +    Disqualified,
 +    Leading,
 +    Winning,
 +    Lost,
 +    Withdrawn,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AuctionResult {
 +    pub winning_bids: Vec<WinningBid>,
 +    pub auction_statistics: AuctionStatistics,
 +    pub contract_details: ContractDetails,
 +    pub post_auction_actions: Vec<PostAuctionAction>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct WinningBid {
 +    pub bid_id: String,
 +    pub bidder_id: String,
 +    pub winning_price: f64,
 +    pub awarded_capacity: f64,
 +    pub contract_value: f64,
 +    pub performance_bond: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AuctionStatistics {
 +    pub total_participants: u32,
 +    pub total_bids: u32,
 +    pub price_range: (f64, f64),
 +    pub average_bid_price: f64,
 +    pub clearing_price: f64,
 +    pub competition_intensity: f64,
 +    pub auction_efficiency: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ContractDetails {
 +    pub contract_id: String,
 +    pub contract_start: Instant,
 +    pub contract_duration: Duration,
 +    pub service_level_agreement: ServiceLevelAgreement,
 +    pub payment_schedule: PaymentSchedule,
 +    pub performance_monitoring: PerformanceMonitoring,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ServiceLevelAgreement {
 +    pub sla_terms: Vec<SLATerm>,
 +    pub penalty_structure: Vec<PenaltyClause>,
 +    pub performance_incentives: Vec<PerformanceIncentive>,
 +    pub monitoring_requirements: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct SLATerm {
 +    pub term_name: String,
 +    pub target_value: f64,
 +    pub measurement_method: String,
 +    pub monitoring_frequency: Duration,
 +    pub compliance_threshold: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PerformanceIncentive {
 +    pub incentive_name: String,
 +    pub performance_threshold: f64,
 +    pub incentive_amount: f64,
 +    pub measurement_period: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PerformanceMonitoring {
 +    pub monitoring_metrics: Vec<MonitoringMetric>,
 +    pub reporting_frequency: Duration,
 +    pub dashboard_access: bool,
 +    pub automated_alerts: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct MonitoringMetric {
 +    pub metric_name: String,
 +    pub metric_type: String,
 +    pub target_value: f64,
 +    pub alert_threshold: f64,
 +    pub measurement_unit: String,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum PostAuctionAction {
 +    ContractGeneration,
 +    PerformanceBondCollection,
 +    ServiceProvisioning,
 +    MonitoringSetup,
 +    StakeholderNotification,
 +    AuditTrailCreation,
 +}
++
 +pub struct ResourceAuctionSystem {
 +    storage_auctions: HashMap<String, StorageAuction>,
 +    bandwidth_auctions: HashMap<String, BandwidthAuction>,
 +    auction_engine: AuctionEngine,
 +    bid_evaluator: BidEvaluator,
 +    contract_manager: ContractManager,
 +    auction_analytics: AuctionAnalytics,
 +}
++
 +struct AuctionEngine {
 +    active_auctions: HashMap<String, AuctionSession>,
 +    auction_scheduler: AuctionScheduler,
 +    price_discovery_engine: PriceDiscoveryEngine,
 +}
++
 +struct AuctionSession {
 +    auction_id: String,
 +    session_state: SessionState,
 +    bid_book: BidBook,
 +    price_history: Vec<PriceUpdate>,
 +    participant_tracking: ParticipantTracking,
 +}
++
 +#[derive(Debug, Clone)]
 +enum SessionState {
 +    PreAuction,
 +    BiddingOpen,
 +    BiddingActive,
 +    BiddingExtended,
 +    BiddingClosed,
 +    Evaluating,
 +    Completed,
 +}
++
 +struct BidBook {
 +    buy_orders: BTreeMap<u64, Vec<BidOrder>>, // Price -> Bids
 +    sell_orders: BTreeMap<u64, Vec<BidOrder>>,
 +    order_history: Vec<BidOrder>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct BidOrder {
 +    order_id: String,
 +    bidder_id: String,
 +    order_type: OrderType,
 +    quantity: f64,
 +    price: u64, // Price in smallest currency unit
 +    timestamp: Instant,
 +    order_status: OrderStatus,
 +}
++
 +#[derive(Debug, Clone)]
 +enum OrderType {
 +    Market,
 +    Limit,
 +    Stop,
 +    StopLimit,
 +    All_or_None,
 +    Immediate_or_Cancel,
 +}
++
 +#[derive(Debug, Clone)]
 +enum OrderStatus {
 +    Pending,
 +    Active,
 +    Filled,
 +    PartiallyFilled,
 +    Cancelled,
 +    Expired,
 +}
++
 +#[derive(Debug, Clone)]
 +struct PriceUpdate {
 +    timestamp: Instant,
 +    price: f64,
 +    volume: f64,
 +    trade_type: TradeType,
 +}
++
 +#[derive(Debug, Clone)]
 +enum TradeType {
 +    Bid,
 +    Ask,
 +    Trade,
 +    Settlement,
 +}
++
 +struct ParticipantTracking {
 +    active_participants: HashMap<String, ParticipantInfo>,
 +    participation_statistics: ParticipationStats,
 +}
++
 +#[derive(Debug, Clone)]
 +struct ParticipantInfo {
 +    participant_id: String,
 +    join_time: Instant,
 +    bid_count: u32,
 +    total_bid_volume: f64,
 +    current_position: Position,
 +}
++
 +#[derive(Debug, Clone)]
 +struct Position {
 +    quantity: f64,
 +    average_price: f64,
 +    unrealized_pnl: f64,
 +    position_value: f64,
 +}
++
 +#[derive(Debug, Clone)]
 +struct ParticipationStats {
 +    total_participants: u32,
 +    active_bidders: u32,
 +    bid_volume: f64,
 +    price_volatility: f64,
 +}
++
 +struct AuctionScheduler {
 +    scheduled_auctions: BTreeMap<Instant, String>,
 +    auction_calendar: HashMap<String, AuctionCalendar>,
 +    resource_availability: ResourceAvailabilityTracker,
 +}
++
 +#[derive(Debug, Clone)]
 +struct AuctionCalendar {
 +    auction_type: String,
 +    frequency: ScheduleFrequency,
 +    next_auction: Instant,
 +    duration: Duration,
 +}
++
 +#[derive(Debug, Clone)]
 +enum ScheduleFrequency {
 +    Continuous,
 +    Hourly,
 +    Daily,
 +    Weekly,
 +    Monthly,
 +    OnDemand,
 +}
++
 +struct ResourceAvailabilityTracker {
 +    resource_inventory: HashMap<String, ResourceInventory>,
 +    availability_forecasts: HashMap<String, AvailabilityForecast>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct ResourceInventory {
 +    resource_type: String,
 +    total_capacity: f64,
 +    available_capacity: f64,
 +    reserved_capacity: f64,
 +    scheduled_releases: Vec<ScheduledRelease>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct ScheduledRelease {
 +    release_time: Instant,
 +    quantity: f64,
 +    release_reason: String,
 +}
++
 +#[derive(Debug, Clone)]
 +struct AvailabilityForecast {
 +    forecast_horizon: Duration,
 +    predicted_availability: Vec<AvailabilityPoint>,
 +    confidence_intervals: Vec<(f64, f64)>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct AvailabilityPoint {
 +    timestamp: Instant,
 +    available_capacity: f64,
 +    demand_forecast: f64,
 +    utilization_rate: f64,
 +}
++
 +struct PriceDiscoveryEngine {
 +    pricing_models: HashMap<String, PricingModel>,
 +    market_data: MarketDataFeed,
 +    price_validators: Vec<PriceValidator>,
 +}
++
 +#[derive(Debug, Clone)]
 +enum PricingModel {
 +    UniformPrice,      // All winning bidders pay the same price
 +    DiscriminatoryPrice, // Each bidder pays their bid price
 +    VickreyPrice,      // Second-price auction
 +    DutchPrice,        // Descending price auction
 +    EnglishPrice,      // Ascending price auction
 +}
++
 +struct MarketDataFeed {
 +    real_time_prices: HashMap<String, f64>,
 +    historical_prices: HashMap<String, Vec<PriceDataPoint>>,
 +    external_benchmarks: HashMap<String, f64>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct PriceDataPoint {
 +    timestamp: Instant,
 +    price: f64,
 +    volume: f64,
 +    source: String,
 +}
++
 +struct PriceValidator {
 +    validator_name: String,
 +    validation_rules: Vec<ValidationRule>,
 +    anomaly_detection: AnomalyDetector,
 +}
++
 +#[derive(Debug, Clone)]
 +struct ValidationRule {
 +    rule_name: String,
 +    rule_condition: String,
 +    violation_action: ViolationAction,
 +}
++
 +#[derive(Debug, Clone)]
 +enum ViolationAction {
 +    Reject,
 +    Flag,
 +    Adjust,
 +    Escalate,
 +}
++
 +struct AnomalyDetector {
 +    detection_algorithms: Vec<DetectionAlgorithm>,
 +    anomaly_thresholds: HashMap<String, f64>,
 +    historical_patterns: Vec<Pattern>,
 +}
++
 +#[derive(Debug, Clone)]
 +enum DetectionAlgorithm {
 +    StatisticalOutlier,
 +    MovingAverage,
 +    ExponentialSmoothing,
 +    MachineLearning,
 +}
++
 +#[derive(Debug, Clone)]
 +struct Pattern {
 +    pattern_name: String,
 +    pattern_signature: Vec<f64>,
 +    confidence_score: f64,
 +}
++
 +struct BidEvaluator {
 +    evaluation_criteria: EvaluationCriteria,
 +    scoring_algorithms: HashMap<String, ScoringAlgorithm>,
 +    qualification_checker: QualificationChecker,
 +}
++
 +struct EvaluationCriteria {
 +    price_weight: f64,
 +    quality_weight: f64,
 +    reliability_weight: f64,
 +    technical_capability_weight: f64,
 +    financial_stability_weight: f64,
 +}
++
 +#[derive(Debug, Clone)]
 +enum ScoringAlgorithm {
 +    WeightedSum,
 +    MultiCriteria,
 +    AHP, // Analytic Hierarchy Process
 +    TOPSIS, // Technique for Order Preference by Similarity
 +    DEA, // Data Envelopment Analysis
 +}
++
 +struct QualificationChecker {
 +    qualification_rules: Vec<QualificationRule>,
 +    verification_procedures: Vec<VerificationProcedure>,
 +    compliance_checkers: HashMap<String, ComplianceChecker>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct QualificationRule {
 +    rule_id: String,
 +    rule_description: String,
 +    requirement_type: RequirementType,
 +    threshold_value: f64,
 +    verification_method: String,
 +}
++
 +#[derive(Debug, Clone)]
 +enum RequirementType {
 +    MinimumCapacity,
 +    ReputationScore,
 +    FinancialCapability,
 +    TechnicalCertification,
 +    ComplianceStatus,
 +    PerformanceHistory,
 +}
++
 +#[derive(Debug, Clone)]
 +struct VerificationProcedure {
 +    procedure_name: String,
 +    verification_steps: Vec<String>,
 +    required_evidence: Vec<String>,
 +    verification_timeline: Duration,
 +}
++
 +struct ComplianceChecker {
 +    regulation_name: String,
 +    compliance_requirements: Vec<ComplianceRequirement>,
 +    assessment_methods: Vec<AssessmentMethod>,
 +}
++
 +#[derive(Debug, Clone)]
 +enum AssessmentMethod {
 +    DocumentReview,
 +    OnSiteInspection,
 +    ThirdPartyAudit,
 +    ContinuousMonitoring,
 +}
++
 +struct ContractManager {
 +    active_contracts: HashMap<String, ActiveContract>,
 +    contract_templates: HashMap<String, ContractTemplate>,
 +    performance_tracker: PerformanceTracker,
 +    dispute_resolver: DisputeResolver,
 +}
++
 +#[derive(Debug, Clone)]
 +struct ActiveContract {
 +    contract_id: String,
 +    parties: Vec<String>,
 +    contract_terms: ContractTerms,
 +    performance_metrics: HashMap<String, f64>,
 +    contract_status: ContractStatus,
 +}
++
 +#[derive(Debug, Clone)]
 +struct ContractTerms {
 +    service_specifications: ServiceSpecifications,
 +    pricing_terms: PricingTerms,
 +    performance_requirements: PerformanceRequirements,
 +    penalty_clauses: Vec<PenaltyClause>,
 +    termination_conditions: Vec<String>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct ServiceSpecifications {
 +    service_type: String,
 +    service_level: String,
 +    capacity_allocation: f64,
 +    service_duration: Duration,
 +    geographic_scope: Vec<String>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct PricingTerms {
 +    base_price: f64,
 +    variable_pricing: Vec<VariablePricingComponent>,
 +    payment_terms: PaymentTerms,
 +    currency: String,
 +}
++
 +#[derive(Debug, Clone)]
 +struct VariablePricingComponent {
 +    component_name: String,
 +    pricing_formula: String,
 +    applicable_conditions: Vec<String>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct PerformanceRequirements {
 +    availability_target: f64,
 +    latency_target: Duration,
 +    throughput_target: f64,
 +    error_rate_target: f64,
 +    monitoring_requirements: Vec<String>,
 +}
++
 +#[derive(Debug, Clone)]
 +enum ContractStatus {
 +    Active,
 +    Suspended,
 +    Terminated,
 +    Completed,
 +    Disputed,
 +}
++
 +struct ContractTemplate {
 +    template_id: String,
 +    template_name: String,
 +    template_version: String,
 +    template_content: String,
 +    variable_fields: Vec<VariableField>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct VariableField {
 +    field_name: String,
 +    field_type: String,
 +    default_value: String,
 +    validation_rules: Vec<String>,
 +}
++
 +struct PerformanceTracker {
 +    tracking_metrics: HashMap<String, TrackingMetric>,
 +    performance_history: HashMap<String, Vec<PerformanceRecord>>,
 +    alert_manager: AlertManager,
 +}
++
 +#[derive(Debug, Clone)]
 +struct TrackingMetric {
 +    metric_id: String,
 +    metric_name: String,
 +    measurement_method: String,
 +    collection_frequency: Duration,
 +    target_value: f64,
 +    tolerance_range: (f64, f64),
 +}
++
 +#[derive(Debug, Clone)]
 +struct PerformanceRecord {
 +    timestamp: Instant,
 +    metric_values: HashMap<String, f64>,
 +    compliance_status: bool,
 +    notes: String,
 +}
++
 +struct AlertManager {
 +    alert_rules: Vec<AlertRule>,
 +    notification_channels: Vec<NotificationChannel>,
 +    escalation_policies: Vec<EscalationPolicy>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct AlertRule {
 +    rule_id: String,
 +    trigger_condition: String,
 +    severity_level: AlertSeverity,
 +    notification_targets: Vec<String>,
 +}
++
 +#[derive(Debug, Clone)]
 +enum AlertSeverity {
 +    Info,
 +    Warning,
 +    Critical,
 +    Emergency,
 +}
++
 +#[derive(Debug, Clone)]
 +struct NotificationChannel {
 +    channel_id: String,
 +    channel_type: NotificationType,
 +    configuration: HashMap<String, String>,
 +    availability_schedule: Vec<TimeWindow>,
 +}
++
 +#[derive(Debug, Clone)]
 +enum NotificationType {
 +    Email,
 +    SMS,
 +    Slack,
 +    Webhook,
 +    Dashboard,
 +}
++
 +#[derive(Debug, Clone)]
 +struct EscalationPolicy {
 +    policy_id: String,
 +    escalation_levels: Vec<EscalationLevel>,
 +    timeout_thresholds: Vec<Duration>,
 +}
++
 +struct DisputeResolver {
 +    active_disputes: HashMap<String, DisputeCase>,
 +    resolution_procedures: HashMap<String, ResolutionProcedure>,
 +    arbitration_panel: ArbitrationPanel,
 +}
++
 +#[derive(Debug, Clone)]
 +struct DisputeCase {
 +    case_id: String,
 +    disputed_contract: String,
 +    dispute_type: DisputeType,
 +    parties_involved: Vec<String>,
 +    case_status: CaseStatus,
 +    resolution_timeline: Duration,
 +}
++
 +#[derive(Debug, Clone)]
 +enum DisputeType {
 +    PerformanceViolation,
 +    PaymentDispute,
 +    ServiceQualityIssue,
 +    ContractInterpretation,
 +    ForceMAjeure,
 +}
++
 +#[derive(Debug, Clone)]
 +enum CaseStatus {
 +    Filed,
 +    UnderReview,
 +    MediationInProgress,
 +    ArbitrationScheduled,
 +    Resolved,
 +    Appealed,
 +}
++
 +struct ResolutionProcedure {
 +    procedure_name: String,
 +    resolution_steps: Vec<String>,
 +    required_documentation: Vec<String>,
 +    expected_timeline: Duration,
 +}
++
 +struct ArbitrationPanel {
 +    panel_members: Vec<Arbitrator>,
 +    case_assignment_rules: Vec<AssignmentRule>,
 +    arbitration_procedures: Vec<String>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct Arbitrator {
 +    arbitrator_id: String,
 +    expertise_areas: Vec<String>,
 +    availability: bool,
 +    case_load: u32,
 +}
++
 +#[derive(Debug, Clone)]
 +struct AssignmentRule {
 +    rule_description: String,
 +    matching_criteria: Vec<String>,
 +    assignment_weight: f64,
 +}
++
 +struct AuctionAnalytics {
 +    performance_metrics: HashMap<String, f64>,
 +    market_analysis: MarketAnalysis,
 +    participant_analytics: ParticipantAnalytics,
 +    trend_analysis: TrendAnalysis,
 +}
++
 +struct MarketAnalysis {
 +    price_trends: Vec<PriceTrend>,
 +    volume_analysis: VolumeAnalysis,
 +    efficiency_metrics: EfficiencyMetrics,
 +    competition_analysis: CompetitionAnalysis,
 +}
++
 +#[derive(Debug, Clone)]
 +struct PriceTrend {
 +    resource_type: String,
 +    trend_direction: TrendDirection,
 +    price_volatility: f64,
 +    seasonal_patterns: Vec<SeasonalPattern>,
 +}
++
 +#[derive(Debug, Clone)]
 +enum TrendDirection {
 +    Increasing,
 +    Decreasing,
 +    Stable,
 +    Volatile,
 +}
++
 +struct VolumeAnalysis {
 +    total_volume_traded: f64,
 +    volume_by_resource_type: HashMap<String, f64>,
 +    volume_trends: Vec<VolumeTrend>,
 +    peak_trading_periods: Vec<TradingPeriod>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct VolumeTrend {
 +    period: String,
 +    volume_change: f64,
 +    growth_rate: f64,
 +}
++
 +#[derive(Debug, Clone)]
 +struct TradingPeriod {
 +    period_name: String,
 +    start_time: Instant,
 +    end_time: Instant,
 +    volume_multiplier: f64,
 +}
++
 +struct EfficiencyMetrics {
 +    price_discovery_efficiency: f64,
 +    allocation_efficiency: f64,
 +    transaction_costs: f64,
 +    market_liquidity: f64,
 +}
++
 +struct CompetitionAnalysis {
 +    concentration_index: f64,
 +    market_share_distribution: HashMap<String, f64>,
 +    competitive_dynamics: CompetitiveDynamics,
 +    barriers_to_entry: Vec<String>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct CompetitiveDynamics {
 +    price_competition_intensity: f64,
 +    quality_competition_intensity: f64,
 +    innovation_rate: f64,
 +    market_stability: f64,
 +}
++
 +struct ParticipantAnalytics {
 +    participant_profiles: HashMap<String, ParticipantProfile>,
 +    behavior_patterns: HashMap<String, BehaviorPattern>,
 +    performance_rankings: Vec<ParticipantRanking>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct ParticipantProfile {
 +    participant_id: String,
 +    participant_type: ParticipantType,
 +    market_experience: Duration,
 +    success_rate: f64,
 +    average_bid_size: f64,
 +    risk_profile: RiskProfile,
 +}
++
 +#[derive(Debug, Clone)]
 +enum ParticipantType {
 +    Individual,
 +    SmallBusiness,
 +    Enterprise,
 +    Institution,
 +    MarketMaker,
 +}
++
 +#[derive(Debug, Clone)]
 +enum RiskProfile {
 +    Conservative,
 +    Moderate,
 +    Aggressive,
 +    Speculative,
 +}
++
 +#[derive(Debug, Clone)]
 +struct BehaviorPattern {
 +    bidding_strategy: BiddingStrategy,
 +    timing_patterns: TimingPattern,
 +    price_sensitivity: f64,
 +    volume_preferences: VolumePreference,
 +}
++
 +#[derive(Debug, Clone)]
 +enum BiddingStrategy {
 +    EarlyBidder,
 +    LastMinuteBidder,
 +    ConsistentBidder,
 +    OpportunisticBidder,
 +}
++
 +#[derive(Debug, Clone)]
 +struct TimingPattern {
 +    preferred_auction_times: Vec<TimeWindow>,
 +    bidding_frequency: Duration,
 +    seasonal_activity: Vec<SeasonalActivity>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct SeasonalActivity {
 +    season_name: String,
 +    activity_level: f64,
 +    typical_behavior: String,
 +}
++
 +#[derive(Debug, Clone)]
 +enum VolumePreference {
 +    SmallLots,
 +    MediumLots,
 +    LargeLots,
 +    Mixed,
 +}
++
 +#[derive(Debug, Clone)]
 +struct ParticipantRanking {
 +    participant_id: String,
 +    overall_rank: u32,
 +    performance_score: f64,
 +    ranking_criteria: HashMap<String, f64>,
 +}
++
 +struct TrendAnalysis {
 +    market_trends: Vec<MarketTrend>,
 +    predictive_models: HashMap<String, PredictiveModel>,
 +    forecast_accuracy: HashMap<String, f64>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct MarketTrend {
 +    trend_name: String,
 +    trend_strength: f64,
 +    trend_duration: Duration,
 +    trend_impact: f64,
 +}
++
 +struct PredictiveModel {
 +    model_name: String,
 +    model_type: ModelType,
 +    input_features: Vec<String>,
 +    prediction_horizon: Duration,
 +    model_accuracy: f64,
 +}
++
 +#[derive(Debug, Clone)]
 +enum ModelType {
 +    LinearRegression,
 +    TimeSeries,
 +    MachineLearning,
 +    EnsembleMethod,
 +}
++
 +impl ResourceAuctionSystem {
 +    pub fn new() -> Self {
 +        Self {
 +            storage_auctions: HashMap::new(),
 +            bandwidth_auctions: HashMap::new(),
 +            auction_engine: AuctionEngine::new(),
 +            bid_evaluator: BidEvaluator::new(),
 +            contract_manager: ContractManager::new(),
 +            auction_analytics: AuctionAnalytics::new(),
 +        }
 +    }
++
 +    pub async fn create_storage_auction(&mut self, specification: StorageSpecification, parameters: AuctionParameters) -> Result<String, Box<dyn std::error::Error>> {
 +        let auction_id = format!("storage_auction_{}", Instant::now().elapsed().as_millis());
++
 +        let auction = StorageAuction {
 +            auction_id: auction_id.clone(),
 +            auction_type: AuctionType::Sealed, // Default type
 +            resource_specification: specification,
 +            auction_parameters: parameters,
 +            current_state: AuctionState::Created,
 +            bids: Vec::new(),
 +            auction_result: None,
 +            created_at: Instant::now(),
 +            auction_duration: Duration::from_secs(3600), // 1 hour default
 +            reserve_price: None,
 +        };
++
 +        self.storage_auctions.insert(auction_id.clone(), auction);
 +        self.auction_engine.schedule_auction(&auction_id, &auction).await?;
++
 +        Ok(auction_id)
 +    }
++
 +    pub async fn create_bandwidth_auction(&mut self, specification: BandwidthSpecification, parameters: AuctionParameters) -> Result<String, Box<dyn std::error::Error>> {
 +        let auction_id = format!("bandwidth_auction_{}", Instant::now().elapsed().as_millis());
++
 +        let time_slot = TimeSlot {
 +            slot_id: format!("slot_{}", auction_id),
 +            start_time: Instant::now() + Duration::from_secs(3600),
 +            end_time: Instant::now() + Duration::from_secs(7200),
 +            resource_capacity: specification.bandwidth_mbps as f64,
 +            current_allocation: 0.0,
 +            pricing_multiplier: 1.0,
 +        };
++
 +        let auction = BandwidthAuction {
 +            auction_id: auction_id.clone(),
 +            auction_type: AuctionType::Dutch, // Default for bandwidth
 +            resource_specification: specification,
 +            auction_parameters: parameters,
 +            current_state: AuctionState::Created,
 +            bids: Vec::new(),
 +            auction_result: None,
 +            created_at: Instant::now(),
 +            auction_duration: Duration::from_secs(1800), // 30 minutes default
 +            time_slot,
 +        };
++
 +        self.bandwidth_auctions.insert(auction_id.clone(), auction);
 +        self.auction_engine.schedule_auction(&auction_id, &auction).await?;
++
 +        Ok(auction_id)
 +    }
++
 +    pub async fn submit_bid(&mut self, auction_id: &str, bid: BidSubmission) -> Result<(), Box<dyn std::error::Error>> {
 +        // Validate bid qualification
 +        let is_qualified = self.bid_evaluator.check_qualification(&bid).await?;
 +        if !is_qualified {
 +            return Err("Bid does not meet qualification criteria".into());
 +        }
++
 +        // Add bid to appropriate auction
 +        if let Some(auction) = self.storage_auctions.get_mut(auction_id) {
 +            auction.bids.push(bid);
 +        } else if let Some(auction) = self.bandwidth_auctions.get_mut(auction_id) {
 +            auction.bids.push(bid);
 +        } else {
 +            return Err("Auction not found".into());
 +        }
++
 +        // Update auction engine
 +        self.auction_engine.process_new_bid(auction_id, &bid).await?;
++
 +        Ok(())
 +    }
++
 +    pub async fn close_auction(&mut self, auction_id: &str) -> Result<AuctionResult, Box<dyn std::error::Error>> {
 +        let auction_result = if let Some(auction) = self.storage_auctions.get_mut(auction_id) {
 +            auction.current_state = AuctionState::Closed;
 +            self.bid_evaluator.evaluate_storage_bids(&auction.bids, &auction.resource_specification).await?
 +        } else if let Some(auction) = self.bandwidth_auctions.get_mut(auction_id) {
 +            auction.current_state = AuctionState::Closed;
 +            self.bid_evaluator.evaluate_bandwidth_bids(&auction.bids, &auction.resource_specification).await?
 +        } else {
 +            return Err("Auction not found".into());
 +        };
++
 +        // Generate contracts for winning bids
 +        for winning_bid in &auction_result.winning_bids {
 +            self.contract_manager.generate_contract(auction_id, winning_bid).await?;
 +        }
++
 +        // Update auction result
 +        if let Some(auction) = self.storage_auctions.get_mut(auction_id) {
 +            auction.auction_result = Some(auction_result.clone());
 +            auction.current_state = AuctionState::Completed;
 +        } else if let Some(auction) = self.bandwidth_auctions.get_mut(auction_id) {
 +            auction.auction_result = Some(auction_result.clone());
 +            auction.current_state = AuctionState::Completed;
 +        }
++
 +        // Update analytics
 +        self.auction_analytics.update_metrics(auction_id, &auction_result).await;
++
 +        Ok(auction_result)
 +    }
++
 +    pub fn get_auction_status(&self, auction_id: &str) -> Option<AuctionState> {
 +        self.storage_auctions.get(auction_id)
 +            .map(|a| a.current_state.clone())
 +            .or_else(|| self.bandwidth_auctions.get(auction_id).map(|a| a.current_state.clone()))
 +    }
++
 +    pub async fn get_market_analysis(&self) -> MarketAnalysisReport {
 +        self.auction_analytics.generate_market_report().await
 +    }
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct MarketAnalysisReport {
 +    pub reporting_period: Duration,
 +    pub total_auctions: u32,
 +    pub total_volume_traded: f64,
 +    pub average_clearing_price: f64,
 +    pub market_efficiency_score: f64,
 +    pub top_participants: Vec<String>,
 +    pub price_trends: Vec<String>,
 +    pub recommendations: Vec<String>,
 +}
++
 +// Implementation stubs for complex components
 +impl AuctionEngine {
 +    fn new() -> Self {
 +        Self {
 +            active_auctions: HashMap::new(),
 +            auction_scheduler: AuctionScheduler {
 +                scheduled_auctions: BTreeMap::new(),
 +                auction_calendar: HashMap::new(),
 +                resource_availability: ResourceAvailabilityTracker {
 +                    resource_inventory: HashMap::new(),
 +                    availability_forecasts: HashMap::new(),
 +                },
 +            },
 +            price_discovery_engine: PriceDiscoveryEngine {
 +                pricing_models: HashMap::new(),
 +                market_data: MarketDataFeed {
 +                    real_time_prices: HashMap::new(),
 +                    historical_prices: HashMap::new(),
 +                    external_benchmarks: HashMap::new(),
 +                },
 +                price_validators: Vec::new(),
 +            },
 +        }
 +    }
++
 +    async fn schedule_auction<T>(&mut self, auction_id: &str, _auction: &T) -> Result<(), Box<dyn std::error::Error>> {
 +        // Implementation for auction scheduling
 +        println!("Scheduled auction: {}", auction_id);
 +        Ok(())
 +    }
++
 +    async fn process_new_bid(&mut self, auction_id: &str, bid: &BidSubmission) -> Result<(), Box<dyn std::error::Error>> {
 +        // Implementation for bid processing
 +        println!("Processing bid {} for auction {}", bid.bid_id, auction_id);
 +        Ok(())
 +    }
 +}
++
 +impl BidEvaluator {
 +    fn new() -> Self {
 +        Self {
 +            evaluation_criteria: EvaluationCriteria {
 +                price_weight: 0.4,
 +                quality_weight: 0.2,
 +                reliability_weight: 0.2,
 +                technical_capability_weight: 0.1,
 +                financial_stability_weight: 0.1,
 +            },
 +            scoring_algorithms: HashMap::new(),
 +            qualification_checker: QualificationChecker {
 +                qualification_rules: Vec::new(),
 +                verification_procedures: Vec::new(),
 +                compliance_checkers: HashMap::new(),
 +            },
 +        }
 +    }
++
 +    async fn check_qualification(&self, bid: &BidSubmission) -> Result<bool, Box<dyn std::error::Error>> {
 +        // Implementation for bid qualification checking
 +        println!("Checking qualification for bid: {}", bid.bid_id);
 +        Ok(true) // Simplified
 +    }
++
 +    async fn evaluate_storage_bids(&self, bids: &[BidSubmission], _specification: &StorageSpecification) -> Result<AuctionResult, Box<dyn std::error::Error>> {
 +        // Implementation for storage bid evaluation
 +        let winning_bids = if !bids.is_empty() {
 +            vec![WinningBid {
 +                bid_id: bids[0].bid_id.clone(),
 +                bidder_id: bids[0].bidder_id.clone(),
 +                winning_price: bids[0].bid_amount,
 +                awarded_capacity: 1000.0, // Example
 +                contract_value: bids[0].bid_amount * 1000.0,
 +                performance_bond: bids[0].bid_amount * 0.1,
 +            }]
 +        } else {
 +            Vec::new()
 +        };
++
 +        Ok(AuctionResult {
 +            winning_bids,
 +            auction_statistics: AuctionStatistics {
 +                total_participants: bids.len() as u32,
 +                total_bids: bids.len() as u32,
 +                price_range: (0.0, 100.0), // Example
 +                average_bid_price: 50.0,
 +                clearing_price: 55.0,
 +                competition_intensity: 0.8,
 +                auction_efficiency: 0.9,
 +            },
 +            contract_details: ContractDetails {
 +                contract_id: format!("contract_{}", Instant::now().elapsed().as_millis()),
 +                contract_start: Instant::now(),
 +                contract_duration: Duration::from_secs(86400),
 +                service_level_agreement: ServiceLevelAgreement {
 +                    sla_terms: Vec::new(),
 +                    penalty_structure: Vec::new(),
 +                    performance_incentives: Vec::new(),
 +                    monitoring_requirements: Vec::new(),
 +                },
 +                payment_schedule: PaymentSchedule::Monthly,
 +                performance_monitoring: PerformanceMonitoring {
 +                    monitoring_metrics: Vec::new(),
 +                    reporting_frequency: Duration::from_secs(3600),
 +                    dashboard_access: true,
 +                    automated_alerts: true,
 +                },
 +            },
 +            post_auction_actions: vec![
 +                PostAuctionAction::ContractGeneration,
 +                PostAuctionAction::PerformanceBondCollection,
 +                PostAuctionAction::ServiceProvisioning,
 +            ],
 +        })
 +    }
++
 +    async fn evaluate_bandwidth_bids(&self, bids: &[BidSubmission], _specification: &BandwidthSpecification) -> Result<AuctionResult, Box<dyn std::error::Error>> {
 +        // Similar implementation for bandwidth bids
 +        self.evaluate_storage_bids(bids, &StorageSpecification {
 +            storage_size_gb: 1000,
 +            duration_hours: 24,
 +            redundancy_level: 2,
 +            geographic_requirements: Vec::new(),
 +            performance_tier: PerformanceTier::Standard,
 +            encryption_requirements: EncryptionRequirements {
 +                at_rest: true,
 +                in_transit: true,
 +                zero_knowledge: false,
 +                key_management: KeyManagementRequirements::ServiceManaged,
 +            },
 +            compliance_requirements: Vec::new(),
 +            access_patterns: AccessPatterns {
 +                read_frequency: AccessFrequency::Warm,
 +                write_frequency: AccessFrequency::Cold,
 +                peak_usage_times: Vec::new(),
 +                concurrent_access_users: 10,
 +            },
 +        }).await
 +    }
 +}
++
 +impl ContractManager {
 +    fn new() -> Self {
 +        Self {
 +            active_contracts: HashMap::new(),
 +            contract_templates: HashMap::new(),
 +            performance_tracker: PerformanceTracker {
 +                tracking_metrics: HashMap::new(),
 +                performance_history: HashMap::new(),
 +                alert_manager: AlertManager {
 +                    alert_rules: Vec::new(),
 +                    notification_channels: Vec::new(),
 +                    escalation_policies: Vec::new(),
 +                },
 +            },
 +            dispute_resolver: DisputeResolver {
 +                active_disputes: HashMap::new(),
 +                resolution_procedures: HashMap::new(),
 +                arbitration_panel: ArbitrationPanel {
 +                    panel_members: Vec::new(),
 +                    case_assignment_rules: Vec::new(),
 +                    arbitration_procedures: Vec::new(),
 +                },
 +            },
 +        }
 +    }
++
 +    async fn generate_contract(&mut self, auction_id: &str, winning_bid: &WinningBid) -> Result<String, Box<dyn std::error::Error>> {
 +        // Implementation for contract generation
 +        let contract_id = format!("contract_{}_{}", auction_id, winning_bid.bid_id);
 +        println!("Generated contract: {}", contract_id);
 +        Ok(contract_id)
 +    }
 +}
++
 +impl AuctionAnalytics {
 +    fn new() -> Self {
 +        Self {
 +            performance_metrics: HashMap::new(),
 +            market_analysis: MarketAnalysis {
 +                price_trends: Vec::new(),
 +                volume_analysis: VolumeAnalysis {
 +                    total_volume_traded: 0.0,
 +                    volume_by_resource_type: HashMap::new(),
 +                    volume_trends: Vec::new(),
 +                    peak_trading_periods: Vec::new(),
 +                },
 +                efficiency_metrics: EfficiencyMetrics {
 +                    price_discovery_efficiency: 0.8,
 +                    allocation_efficiency: 0.85,
 +                    transaction_costs: 0.02,
 +                    market_liquidity: 0.7,
 +                },
 +                competition_analysis: CompetitionAnalysis {
 +                    concentration_index: 0.3,
 +                    market_share_distribution: HashMap::new(),
 +                    competitive_dynamics: CompetitiveDynamics {
 +                        price_competition_intensity: 0.6,
 +                        quality_competition_intensity: 0.4,
 +                        innovation_rate: 0.3,
 +                        market_stability: 0.8,
 +                    },
 +                    barriers_to_entry: vec!["Capital requirements".to_string(), "Technical expertise".to_string()],
 +                },
 +            },
 +            participant_analytics: ParticipantAnalytics {
 +                participant_profiles: HashMap::new(),
 +                behavior_patterns: HashMap::new(),
 +                performance_rankings: Vec::new(),
 +            },
 +            trend_analysis: TrendAnalysis {
 +                market_trends: Vec::new(),
 +                predictive_models: HashMap::new(),
 +                forecast_accuracy: HashMap::new(),
 +            },
 +        }
 +    }
++
 +    async fn update_metrics(&mut self, auction_id: &str, result: &AuctionResult) {
 +        // Implementation for metrics update
 +        println!("Updated metrics for auction: {} with {} winning bids", auction_id, result.winning_bids.len());
 +    }
++
 +    async fn generate_market_report(&self) -> MarketAnalysisReport {
 +        MarketAnalysisReport {
 +            reporting_period: Duration::from_secs(30 * 24 * 3600), // 30 days
 +            total_auctions: 100,
 +            total_volume_traded: 1000000.0,
 +            average_clearing_price: 0.05,
 +            market_efficiency_score: 0.85,
 +            top_participants: vec!["Participant1".to_string(), "Participant2".to_string()],
 +            price_trends: vec!["Prices trending upward".to_string()],
 +            recommendations: vec!["Increase auction frequency".to_string()],
 +        }
 +    }
 +}

src/market/bandwidth_market.rsadded

1988 lines changed — click to load

 +//! Bandwidth Marketplace
 +//!
 +//! Real-time bandwidth trading, QoS prioritization, and network resource allocation
++
 +use serde::{Deserialize, Serialize};
 +use std::collections::{HashMap, BTreeMap};
 +use tokio::time::{Duration, Instant};
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BandwidthMarketplace {
 +    pub market_id: String,
 +    pub active_contracts: HashMap<String, BandwidthContract>,
 +    pub traffic_shaper: TrafficShaper,
 +    pub qos_prioritizer: QoSPrioritizer,
 +    pub resource_allocator: NetworkResourceAllocator,
 +    pub pricing_engine: BandwidthPricingEngine,
 +    pub market_metrics: BandwidthMarketMetrics,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BandwidthContract {
 +    pub contract_id: String,
 +    pub buyer_id: String,
 +    pub seller_id: String,
 +    pub bandwidth_specification: BandwidthSpec,
 +    pub pricing_terms: BandwidthPricingTerms,
 +    pub qos_requirements: QoSRequirements,
 +    pub contract_duration: Duration,
 +    pub start_time: Instant,
 +    pub end_time: Instant,
 +    pub utilization_metrics: UtilizationMetrics,
 +    pub compliance_status: ComplianceStatus,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BandwidthSpec {
 +    pub committed_rate_mbps: f64,
 +    pub burst_rate_mbps: f64,
 +    pub peak_rate_mbps: f64,
 +    pub direction: TrafficDirection,
 +    pub geographic_path: Vec<String>,
 +    pub redundancy_requirements: RedundancyRequirements,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum TrafficDirection {
 +    Ingress,
 +    Egress,
 +    Bidirectional,
 +    Asymmetric { ingress_mbps: f64, egress_mbps: f64 },
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RedundancyRequirements {
 +    pub backup_paths: u8,
 +    pub failover_time: Duration,
 +    pub load_balancing: bool,
 +    pub path_diversity: PathDiversity,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum PathDiversity {
 +    None,
 +    Geographic,
 +    Provider,
 +    Infrastructure,
 +    Complete,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BandwidthPricingTerms {
 +    pub pricing_model: BandwidthPricingModel,
 +    pub base_price_per_mbps: f64,
 +    pub burst_pricing: BurstPricing,
 +    pub time_based_pricing: TimeBasedPricing,
 +    pub volume_discounts: Vec<VolumeDiscount>,
 +    pub commitment_discounts: Vec<CommitmentDiscount>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum BandwidthPricingModel {
 +    PayPerUse,           // Pay for actual usage
 +    CommittedRate,       // Pay for committed bandwidth
 +    BurstableBilling,    // Base + burst charges
 +    TieredPricing,       // Different rates for different tiers
 +    PeakUsageBilling,    // Based on peak usage
 +    PercentileBilling,   // Based on 95th percentile usage
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BurstPricing {
 +    pub burst_multiplier: f64,
 +    pub burst_threshold: f64,
 +    pub burst_duration_limit: Duration,
 +    pub burst_penalty: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct TimeBasedPricing {
 +    pub peak_hours: Vec<TimeRange>,
 +    pub peak_multiplier: f64,
 +    pub off_peak_discount: f64,
 +    pub weekend_pricing: WeekendPricing,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct TimeRange {
 +    pub start_hour: u8,
 +    pub end_hour: u8,
 +    pub timezone: String,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum WeekendPricing {
 +    SameAsWeekday,
 +    Discount(f64),
 +    Premium(f64),
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct VolumeDiscount {
 +    pub volume_threshold_gb: u64,
 +    pub discount_percentage: f64,
 +    pub applies_to: VolumeDiscountScope,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum VolumeDiscountScope {
 +    Total,
 +    Monthly,
 +    Contract,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CommitmentDiscount {
 +    pub commitment_duration: Duration,
 +    pub minimum_usage_percentage: f64,
 +    pub discount_percentage: f64,
 +    pub early_termination_penalty: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct QoSRequirements {
 +    pub latency_target: LatencyTarget,
 +    pub jitter_tolerance: Duration,
 +    pub packet_loss_threshold: f64,
 +    pub availability_requirement: f64,
 +    pub priority_class: PriorityClass,
 +    pub dscp_marking: Option<u8>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct LatencyTarget {
 +    pub max_latency: Duration,
 +    pub percentile: f64, // e.g., 95th percentile
 +    pub measurement_window: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum PriorityClass {
 +    BestEffort,
 +    Bronze,
 +    Silver,
 +    Gold,
 +    Platinum,
 +    RealTime,
 +    Custom { priority_value: u8 },
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct UtilizationMetrics {
 +    pub average_utilization: f64,
 +    pub peak_utilization: f64,
 +    pub utilization_percentiles: UtilizationPercentiles,
 +    pub burst_frequency: f64,
 +    pub total_bytes_transferred: u64,
 +    pub efficiency_score: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct UtilizationPercentiles {
 +    pub p50: f64,
 +    pub p75: f64,
 +    pub p90: f64,
 +    pub p95: f64,
 +    pub p99: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ComplianceStatus {
 +    pub sla_compliance: f64,
 +    pub latency_compliance: f64,
 +    pub availability_compliance: f64,
 +    pub throughput_compliance: f64,
 +    pub violations: Vec<ComplianceViolation>,
 +    pub credits_earned: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ComplianceViolation {
 +    pub violation_type: ViolationType,
 +    pub timestamp: Instant,
 +    pub duration: Duration,
 +    pub severity: ViolationSeverity,
 +    pub impact_assessment: ImpactAssessment,
 +    pub remediation_taken: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ViolationType {
 +    LatencyExceeded,
 +    ThroughputBelow,
 +    PacketLossExceeded,
 +    AvailabilityBelow,
 +    JitterExceeded,
 +    QoSViolation,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ViolationSeverity {
 +    Minor,
 +    Moderate,
 +    Major,
 +    Critical,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ImpactAssessment {
 +    pub affected_traffic_percentage: f64,
 +    pub user_impact_score: f64,
 +    pub business_impact: BusinessImpact,
 +    pub financial_impact: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum BusinessImpact {
 +    Negligible,
 +    Minor,
 +    Moderate,
 +    Significant,
 +    Critical,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct TrafficShaping {
 +    pub shaping_policies: Vec<ShapingPolicy>,
 +    pub traffic_classification: TrafficClassification,
 +    pub congestion_control: CongestionControl,
 +    pub admission_control: AdmissionControl,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ShapingPolicy {
 +    pub policy_name: String,
 +    pub traffic_selector: TrafficSelector,
 +    pub shaping_parameters: ShapingParameters,
 +    pub enforcement_action: EnforcementAction,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct TrafficSelector {
 +    pub source_criteria: Vec<SelectionCriterion>,
 +    pub destination_criteria: Vec<SelectionCriterion>,
 +    pub protocol_criteria: Vec<ProtocolCriterion>,
 +    pub application_criteria: Vec<ApplicationCriterion>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct SelectionCriterion {
 +    pub criterion_type: CriterionType,
 +    pub value: String,
 +    pub operator: MatchOperator,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum CriterionType {
 +    IPAddress,
 +    IPRange,
 +    NetworkSegment,
 +    Port,
 +    PortRange,
 +    VLAN,
 +    QoSClass,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum MatchOperator {
 +    Equals,
 +    NotEquals,
 +    Contains,
 +    InRange,
 +    Matches,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ProtocolCriterion {
 +    pub protocol: NetworkProtocol,
 +    pub port_ranges: Vec<PortRange>,
 +    pub flags: Option<ProtocolFlags>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum NetworkProtocol {
 +    TCP,
 +    UDP,
 +    ICMP,
 +    HTTP,
 +    HTTPS,
 +    FTP,
 +    SSH,
 +    QUIC,
 +    Custom(String),
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PortRange {
 +    pub start_port: u16,
 +    pub end_port: u16,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ProtocolFlags {
 +    pub tcp_flags: Option<TcpFlags>,
 +    pub icmp_type: Option<u8>,
 +    pub custom_flags: HashMap<String, String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct TcpFlags {
 +    pub syn: Option<bool>,
 +    pub ack: Option<bool>,
 +    pub fin: Option<bool>,
 +    pub rst: Option<bool>,
 +    pub psh: Option<bool>,
 +    pub urg: Option<bool>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ApplicationCriterion {
 +    pub application_type: ApplicationType,
 +    pub application_signature: Option<String>,
 +    pub deep_packet_inspection: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ApplicationType {
 +    Video,
 +    Audio,
 +    Gaming,
 +    FileTransfer,
 +    WebBrowsing,
 +    Email,
 +    Database,
 +    Backup,
 +    Streaming,
 +    VoIP,
 +    VideoConferencing,
 +    Custom(String),
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ShapingParameters {
 +    pub token_bucket: TokenBucket,
 +    pub priority_queue: PriorityQueueConfig,
 +    pub traffic_policing: TrafficPolicing,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct TokenBucket {
 +    pub rate_limit_bps: u64,
 +    pub burst_size_bytes: u64,
 +    pub bucket_depth: u64,
 +    pub token_replenishment_rate: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PriorityQueueConfig {
 +    pub queue_priority: u8,
 +    pub queue_weight: f64,
 +    pub guaranteed_bandwidth: Option<u64>,
 +    pub maximum_bandwidth: Option<u64>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct TrafficPolicing {
 +    pub policer_type: PolicerType,
 +    pub violation_action: PolicingAction,
 +    pub conform_action: PolicingAction,
 +    pub exceed_action: PolicingAction,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum PolicerType {
 +    SingleRate,
 +    DualRate,
 +    Adaptive,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum PolicingAction {
 +    Pass,
 +    Drop,
 +    Mark,
 +    Remark(u8), // DSCP value
 +    Redirect(String), // Interface or queue
 +    Throttle(f64), // Rate reduction factor
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum EnforcementAction {
 +    Drop,
 +    Queue,
 +    Delay,
 +    Reroute,
 +    Prioritize,
 +    Deprioritize,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct TrafficClassification {
 +    pub classification_engine: ClassificationEngine,
 +    pub traffic_classes: HashMap<String, TrafficClass>,
 +    pub classification_rules: Vec<ClassificationRule>,
 +    pub machine_learning_classifier: Option<MLClassifier>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ClassificationEngine {
 +    RuleBased,
 +    MachineLearning,
 +    HybridClassification,
 +    DeepPacketInspection,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct TrafficClass {
 +    pub class_name: String,
 +    pub class_priority: u8,
 +    pub bandwidth_allocation: BandwidthAllocation,
 +    pub qos_parameters: QoSParameters,
 +    pub treatment_policy: TreatmentPolicy,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BandwidthAllocation {
 +    pub minimum_guarantee: u64,
 +    pub maximum_limit: Option<u64>,
 +    pub weight: f64,
 +    pub burst_allowance: u64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct QoSParameters {
 +    pub dscp_marking: u8,
 +    pub traffic_class_bits: u8,
 +    pub flow_label: Option<u32>,
 +    pub priority_bits: u8,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct TreatmentPolicy {
 +    pub queueing_discipline: QueueingDiscipline,
 +    pub drop_policy: DropPolicy,
 +    pub scheduling_algorithm: SchedulingAlgorithm,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum QueueingDiscipline {
 +    FIFO,
 +    PriorityQueue,
 +    WeightedFairQueuing,
 +    ClassBasedQueuing,
 +    StochasticFairQueuing,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum DropPolicy {
 +    TailDrop,
 +    RandomEarlyDetection,
 +    WeightedRandomEarlyDetection,
 +    ControlledDelay,
 +    FlowRandomEarlyDrop,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum SchedulingAlgorithm {
 +    RoundRobin,
 +    WeightedRoundRobin,
 +    DeficitRoundRobin,
 +    HierarchicalFairServiceCurve,
 +    StrictPriority,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ClassificationRule {
 +    pub rule_id: String,
 +    pub rule_priority: u8,
 +    pub match_criteria: MatchCriteria,
 +    pub target_class: String,
 +    pub confidence_threshold: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct MatchCriteria {
 +    pub packet_header_fields: HashMap<String, String>,
 +    pub payload_patterns: Vec<PayloadPattern>,
 +    pub statistical_features: Vec<StatisticalFeature>,
 +    pub behavioral_patterns: Vec<BehavioralPattern>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PayloadPattern {
 +    pub pattern_type: PatternType,
 +    pub pattern_value: String,
 +    pub offset: Option<u16>,
 +    pub length: Option<u16>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum PatternType {
 +    Regex,
 +    ByteSequence,
 +    StringLiteral,
 +    Hash,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct StatisticalFeature {
 +    pub feature_name: String,
 +    pub feature_value: f64,
 +    pub tolerance: f64,
 +    pub measurement_window: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BehavioralPattern {
 +    pub pattern_name: String,
 +    pub flow_characteristics: FlowCharacteristics,
 +    pub temporal_patterns: TemporalPatterns,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct FlowCharacteristics {
 +    pub packet_size_distribution: PacketSizeDistribution,
 +    pub inter_arrival_time_distribution: InterArrivalDistribution,
 +    pub flow_duration: Duration,
 +    pub bytes_per_flow: u64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PacketSizeDistribution {
 +    pub mean_size: f64,
 +    pub variance: f64,
 +    pub distribution_type: DistributionType,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum DistributionType {
 +    Normal,
 +    Exponential,
 +    Pareto,
 +    Weibull,
 +    Gamma,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct InterArrivalDistribution {
 +    pub mean_interval: Duration,
 +    pub variance: Duration,
 +    pub burstiness_factor: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct TemporalPatterns {
 +    pub daily_patterns: DailyPattern,
 +    pub weekly_patterns: WeeklyPattern,
 +    pub seasonal_patterns: SeasonalPattern,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct DailyPattern {
 +    pub peak_hours: Vec<u8>,
 +    pub off_peak_hours: Vec<u8>,
 +    pub traffic_multiplier: HashMap<u8, f64>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct WeeklyPattern {
 +    pub weekday_pattern: TrafficPattern,
 +    pub weekend_pattern: TrafficPattern,
 +    pub pattern_variance: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct TrafficPattern {
 +    pub pattern_type: String,
 +    pub intensity_levels: Vec<f64>,
 +    pub pattern_confidence: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct SeasonalPattern {
 +    pub seasonal_multipliers: HashMap<String, f64>,
 +    pub holiday_effects: HashMap<String, f64>,
 +    pub event_patterns: Vec<EventPattern>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct EventPattern {
 +    pub event_type: String,
 +    pub traffic_impact: f64,
 +    pub duration: Duration,
 +    pub frequency: EventFrequency,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum EventFrequency {
 +    OneTime,
 +    Daily,
 +    Weekly,
 +    Monthly,
 +    Yearly,
 +    Irregular,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct MLClassifier {
 +    pub classifier_type: ClassifierType,
 +    pub model_accuracy: f64,
 +    pub training_data_size: u64,
 +    pub feature_importance: HashMap<String, f64>,
 +    pub update_frequency: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ClassifierType {
 +    DecisionTree,
 +    RandomForest,
 +    NeuralNetwork,
 +    SupportVectorMachine,
 +    NaiveBayes,
 +    EnsembleMethod,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CongestionControl {
 +    pub congestion_detection: CongestionDetection,
 +    pub congestion_response: CongestionResponse,
 +    pub flow_control: FlowControl,
 +    pub load_balancing: LoadBalancing,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CongestionDetection {
 +    pub detection_methods: Vec<DetectionMethod>,
 +    pub detection_thresholds: DetectionThresholds,
 +    pub measurement_window: Duration,
 +    pub alert_system: CongestionAlertSystem,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum DetectionMethod {
 +    QueueDepth,
 +    PacketLoss,
 +    Delay,
 +    Throughput,
 +    UtilizationBased,
 +    MachineLearning,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct DetectionThresholds {
 +    pub queue_depth_threshold: u32,
 +    pub packet_loss_threshold: f64,
 +    pub delay_threshold: Duration,
 +    pub utilization_threshold: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CongestionAlertSystem {
 +    pub alert_levels: Vec<AlertLevel>,
 +    pub notification_channels: Vec<String>,
 +    pub escalation_policies: Vec<EscalationPolicy>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AlertLevel {
 +    pub level_name: String,
 +    pub severity: u8,
 +    pub trigger_conditions: Vec<String>,
 +    pub automatic_actions: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct EscalationPolicy {
 +    pub policy_name: String,
 +    pub escalation_triggers: Vec<String>,
 +    pub escalation_actions: Vec<String>,
 +    pub escalation_timeline: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CongestionResponse {
 +    pub response_strategies: Vec<ResponseStrategy>,
 +    pub adaptive_algorithms: Vec<AdaptiveAlgorithm>,
 +    pub traffic_engineering: TrafficEngineering,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ResponseStrategy {
 +    pub strategy_name: String,
 +    pub trigger_conditions: Vec<String>,
 +    pub response_actions: Vec<ResponseAction>,
 +    pub effectiveness_score: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ResponseAction {
 +    ReduceTrafficRate,
 +    RerouteTraffic,
 +    DropLowPriorityTraffic,
 +    IncreaseCapacity,
 +    LoadBalance,
 +    ActivateBackupPaths,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AdaptiveAlgorithm {
 +    pub algorithm_name: String,
 +    pub adaptation_parameters: HashMap<String, f64>,
 +    pub learning_rate: f64,
 +    pub performance_metrics: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct TrafficEngineering {
 +    pub path_selection: PathSelectionAlgorithm,
 +    pub load_distribution: LoadDistributionStrategy,
 +    pub capacity_optimization: CapacityOptimization,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum PathSelectionAlgorithm {
 +    ShortestPath,
 +    WidestPath,
 +    MinimumDelay,
 +    LoadBalanced,
 +    CostOptimized,
 +    QoSAware,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum LoadDistributionStrategy {
 +    EqualCostMultiPath,
 +    WeightedMultiPath,
 +    AdaptiveLoadBalancing,
 +    TrafficAware,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CapacityOptimization {
 +    pub optimization_objectives: Vec<OptimizationObjective>,
 +    pub constraints: Vec<OptimizationConstraint>,
 +    pub optimization_frequency: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct OptimizationObjective {
 +    pub objective_name: String,
 +    pub objective_type: ObjectiveType,
 +    pub weight: f64,
 +    pub target_value: Option<f64>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ObjectiveType {
 +    Minimize,
 +    Maximize,
 +    Target,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct OptimizationConstraint {
 +    pub constraint_name: String,
 +    pub constraint_expression: String,
 +    pub constraint_type: String,
 +    pub penalty_factor: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct FlowControl {
 +    pub flow_admission: FlowAdmission,
 +    pub rate_control: RateControl,
 +    pub buffer_management: BufferManagement,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct FlowAdmission {
 +    pub admission_policies: Vec<AdmissionPolicy>,
 +    pub resource_reservation: ResourceReservation,
 +    pub call_admission_control: CallAdmissionControl,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AdmissionPolicy {
 +    pub policy_name: String,
 +    pub admission_criteria: Vec<AdmissionCriterion>,
 +    pub rejection_actions: Vec<RejectionAction>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AdmissionCriterion {
 +    pub criterion_name: String,
 +    pub resource_requirement: ResourceRequirement,
 +    pub availability_threshold: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ResourceRequirement {
 +    pub bandwidth_mbps: f64,
 +    pub latency_ms: f64,
 +    pub jitter_tolerance_ms: f64,
 +    pub packet_loss_tolerance: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum RejectionAction {
 +    Block,
 +    Queue,
 +    Reroute,
 +    Downgrade,
 +    Schedule,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ResourceReservation {
 +    pub reservation_protocol: ReservationProtocol,
 +    pub reservation_state: HashMap<String, ReservationEntry>,
 +    pub refresh_interval: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ReservationProtocol {
 +    RSVP,
 +    Custom,
 +    StaticReservation,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ReservationEntry {
 +    pub flow_id: String,
 +    pub reserved_bandwidth: f64,
 +    pub reservation_timeout: Instant,
 +    pub qos_parameters: QoSParameters,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CallAdmissionControl {
 +    pub max_concurrent_flows: u32,
 +    pub bandwidth_utilization_limit: f64,
 +    pub priority_preemption: bool,
 +    pub admission_algorithms: Vec<AdmissionAlgorithm>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AdmissionAlgorithm {
 +    pub algorithm_name: String,
 +    pub algorithm_type: AdmissionAlgorithmType,
 +    pub parameters: HashMap<String, f64>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum AdmissionAlgorithmType {
 +    FirstComeFirstServed,
 +    HighestPriorityFirst,
 +    ShortestProcessingTime,
 +    WeightedFair,
 +    Custom(String),
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RateControl {
 +    pub rate_limiting_algorithms: Vec<RateLimitingAlgorithm>,
 +    pub feedback_control: FeedbackControl,
 +    pub adaptive_rate_control: AdaptiveRateControl,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RateLimitingAlgorithm {
 +    pub algorithm_name: String,
 +    pub algorithm_type: RateAlgorithmType,
 +    pub configuration_parameters: HashMap<String, f64>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum RateAlgorithmType {
 +    TokenBucket,
 +    LeakyBucket,
 +    SlidingWindow,
 +    AdaptiveWindowing,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct FeedbackControl {
 +    pub control_loop_type: ControlLoopType,
 +    pub feedback_signals: Vec<FeedbackSignal>,
 +    pub control_parameters: ControlParameters,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ControlLoopType {
 +    PID,
 +    Adaptive,
 +    FuzzyLogic,
 +    NeuralNetwork,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct FeedbackSignal {
 +    pub signal_name: String,
 +    pub signal_type: SignalType,
 +    pub measurement_frequency: Duration,
 +    pub signal_weight: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum SignalType {
 +    QueueLength,
 +    Delay,
 +    Throughput,
 +    PacketLoss,
 +    Utilization,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ControlParameters {
 +    pub proportional_gain: f64,
 +    pub integral_gain: f64,
 +    pub derivative_gain: f64,
 +    pub setpoint: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AdaptiveRateControl {
 +    pub adaptation_enabled: bool,
 +    pub adaptation_triggers: Vec<AdaptationTrigger>,
 +    pub adaptation_algorithms: Vec<AdaptationAlgorithm>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AdaptationTrigger {
 +    pub trigger_name: String,
 +    pub trigger_condition: String,
 +    pub trigger_threshold: f64,
 +    pub response_action: String,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AdaptationAlgorithm {
 +    pub algorithm_name: String,
 +    pub adaptation_strategy: AdaptationStrategy,
 +    pub learning_parameters: HashMap<String, f64>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum AdaptationStrategy {
 +    GradientDescent,
 +    GeneticAlgorithm,
 +    ReinforcementLearning,
 +    HeuristicBased,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BufferManagement {
 +    pub buffer_sizing: BufferSizing,
 +    pub queue_management: QueueManagement,
 +    pub memory_allocation: MemoryAllocation,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BufferSizing {
 +    pub sizing_algorithm: SizingAlgorithm,
 +    pub buffer_parameters: BufferParameters,
 +    pub dynamic_sizing: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum SizingAlgorithm {
 +    RuleBased,
 +    TrafficAware,
 +    AdaptiveSizing,
 +    MLBased,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BufferParameters {
 +    pub min_buffer_size: u64,
 +    pub max_buffer_size: u64,
 +    pub target_utilization: f64,
 +    pub overflow_policy: OverflowPolicy,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum OverflowPolicy {
 +    Drop,
 +    Redirect,
 +    Compress,
 +    Spillover,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct QueueManagement {
 +    pub active_queue_management: ActiveQueueManagement,
 +    pub queue_scheduling: QueueScheduling,
 +    pub queue_monitoring: QueueMonitoring,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ActiveQueueManagement {
 +    pub aqm_algorithm: AQMAlgorithm,
 +    pub drop_thresholds: DropThresholds,
 +    pub marking_probability: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum AQMAlgorithm {
 +    RED,
 +    WRED,
 +    CoDel,
 +    PIE,
 +    BLUE,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct DropThresholds {
 +    pub min_threshold: u32,
 +    pub max_threshold: u32,
 +    pub drop_probability: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct QueueScheduling {
 +    pub scheduling_discipline: SchedulingDiscipline,
 +    pub queue_weights: HashMap<String, f64>,
 +    pub priority_mapping: HashMap<u8, String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct QueueMonitoring {
 +    pub monitoring_metrics: Vec<QueueMetric>,
 +    pub collection_frequency: Duration,
 +    pub alert_thresholds: HashMap<String, f64>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct QueueMetric {
 +    pub metric_name: String,
 +    pub metric_type: QueueMetricType,
 +    pub current_value: f64,
 +    pub historical_values: Vec<f64>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum QueueMetricType {
 +    Length,
 +    Delay,
 +    DropRate,
 +    Throughput,
 +    Utilization,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct MemoryAllocation {
 +    pub allocation_strategy: AllocationStrategy,
 +    pub memory_pools: HashMap<String, MemoryPool>,
 +    pub garbage_collection: GarbageCollection,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum AllocationStrategy {
 +    Static,
 +    Dynamic,
 +    HybridAllocation,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct MemoryPool {
 +    pub pool_name: String,
 +    pub pool_size: u64,
 +    pub allocation_unit_size: u64,
 +    pub usage_statistics: PoolUsageStats,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PoolUsageStats {
 +    pub allocated_bytes: u64,
 +    pub free_bytes: u64,
 +    pub fragmentation_ratio: f64,
 +    pub allocation_rate: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct GarbageCollection {
 +    pub gc_algorithm: GCAlgorithm,
 +    pub gc_frequency: Duration,
 +    pub gc_thresholds: GCThresholds,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum GCAlgorithm {
 +    MarkAndSweep,
 +    GenerationalGC,
 +    IncrementalGC,
 +    ConcurrentGC,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct GCThresholds {
 +    pub memory_threshold: f64,
 +    pub fragmentation_threshold: f64,
 +    pub idle_time_threshold: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct LoadBalancing {
 +    pub load_balancing_algorithms: Vec<LoadBalancingAlgorithm>,
 +    pub health_monitoring: HealthMonitoring,
 +    pub failover_mechanisms: Vec<FailoverMechanism>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct LoadBalancingAlgorithm {
 +    pub algorithm_name: String,
 +    pub algorithm_type: LoadBalancingType,
 +    pub weight_assignment: WeightAssignment,
 +    pub session_affinity: SessionAffinity,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum LoadBalancingType {
 +    RoundRobin,
 +    WeightedRoundRobin,
 +    LeastConnections,
 +    LeastResponseTime,
 +    ResourceBased,
 +    Geographic,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct WeightAssignment {
 +    pub assignment_method: WeightMethod,
 +    pub static_weights: HashMap<String, f64>,
 +    pub dynamic_factors: Vec<DynamicFactor>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum WeightMethod {
 +    Static,
 +    Dynamic,
 +    Hybrid,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct DynamicFactor {
 +    pub factor_name: String,
 +    pub factor_weight: f64,
 +    pub measurement_source: String,
 +    pub update_frequency: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum SessionAffinity {
 +    None,
 +    IPHash,
 +    Cookie,
 +    URLParameter,
 +    Custom(String),
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct HealthMonitoring {
 +    pub health_checks: Vec<HealthCheck>,
 +    pub monitoring_frequency: Duration,
 +    pub failure_detection: FailureDetection,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct HealthCheck {
 +    pub check_name: String,
 +    pub check_type: HealthCheckType,
 +    pub check_parameters: HashMap<String, String>,
 +    pub success_criteria: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum HealthCheckType {
 +    Ping,
 +    HTTP,
 +    TCP,
 +    UDP,
 +    Custom(String),
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct FailureDetection {
 +    pub detection_algorithms: Vec<FailureDetectionAlgorithm>,
 +    pub failure_thresholds: FailureThresholds,
 +    pub recovery_mechanisms: Vec<RecoveryMechanism>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct FailureDetectionAlgorithm {
 +    pub algorithm_name: String,
 +    pub detection_method: DetectionMethod,
 +    pub sensitivity: f64,
 +    pub false_positive_rate: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct FailureThresholds {
 +    pub consecutive_failures: u32,
 +    pub failure_rate_threshold: f64,
 +    pub response_time_threshold: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RecoveryMechanism {
 +    pub mechanism_name: String,
 +    pub recovery_strategy: RecoveryStrategy,
 +    pub recovery_time_estimate: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum RecoveryStrategy {
 +    Restart,
 +    Failover,
 +    LoadRedistribution,
 +    Scaling,
 +    Manual,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct FailoverMechanism {
 +    pub mechanism_name: String,
 +    pub failover_criteria: Vec<FailoverCriterion>,
 +    pub failover_actions: Vec<FailoverAction>,
 +    pub rollback_conditions: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct FailoverCriterion {
 +    pub criterion_name: String,
 +    pub threshold_value: f64,
 +    pub evaluation_window: Duration,
 +    pub trigger_condition: String,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum FailoverAction {
 +    RedirectTraffic,
 +    ActivateBackup,
 +    ScaleUp,
 +    Notify,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AdmissionControl {
 +    pub admission_policies: Vec<AdmissionPolicy>,
 +    pub resource_monitoring: ResourceMonitoring,
 +    pub overload_protection: OverloadProtection,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ResourceMonitoring {
 +    pub monitored_resources: Vec<MonitoredResource>,
 +    pub monitoring_frequency: Duration,
 +    pub resource_forecasting: ResourceForecasting,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct MonitoredResource {
 +    pub resource_name: String,
 +    pub resource_type: MonitoredResourceType,
 +    pub current_utilization: f64,
 +    pub capacity_limit: f64,
 +    pub utilization_trends: Vec<UtilizationTrend>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum MonitoredResourceType {
 +    Bandwidth,
 +    CPU,
 +    Memory,
 +    Storage,
 +    NetworkConnections,
 +    QueueCapacity,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct UtilizationTrend {
 +    pub timestamp: Instant,
 +    pub utilization_value: f64,
 +    pub trend_direction: TrendDirection,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum TrendDirection {
 +    Increasing,
 +    Decreasing,
 +    Stable,
 +    Volatile,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ResourceForecasting {
 +    pub forecasting_enabled: bool,
 +    pub forecasting_horizon: Duration,
 +    pub forecasting_models: Vec<ForecastingModel>,
 +    pub forecast_accuracy: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ForecastingModel {
 +    pub model_name: String,
 +    pub model_type: ForecastingModelType,
 +    pub model_parameters: HashMap<String, f64>,
 +    pub prediction_accuracy: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ForecastingModelType {
 +    LinearRegression,
 +    ARIMA,
 +    ExponentialSmoothing,
 +    NeuralNetwork,
 +    EnsembleMethod,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct OverloadProtection {
 +    pub protection_mechanisms: Vec<ProtectionMechanism>,
 +    pub overload_detection: OverloadDetection,
 +    pub recovery_strategies: Vec<OverloadRecoveryStrategy>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ProtectionMechanism {
 +    pub mechanism_name: String,
 +    pub protection_type: ProtectionType,
 +    pub activation_threshold: f64,
 +    pub protection_actions: Vec<ProtectionAction>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ProtectionType {
 +    RateLimiting,
 +    LoadShedding,
 +    Throttling,
 +    CircuitBreaker,
 +    BackPressure,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ProtectionAction {
 +    RejectRequests,
 +    DelayRequests,
 +    ReduceQuality,
 +    RedirectTraffic,
 +    ScaleResources,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct OverloadDetection {
 +    pub detection_metrics: Vec<OverloadMetric>,
 +    pub detection_algorithms: Vec<OverloadDetectionAlgorithm>,
 +    pub alert_mechanisms: Vec<OverloadAlert>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct OverloadMetric {
 +    pub metric_name: String,
 +    pub current_value: f64,
 +    pub threshold_value: f64,
 +    pub metric_weight: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct OverloadDetectionAlgorithm {
 +    pub algorithm_name: String,
 +    pub detection_method: OverloadDetectionMethod,
 +    pub sensitivity_level: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum OverloadDetectionMethod {
 +    ThresholdBased,
 +    TrendBased,
 +    StatisticalAnomaly,
 +    MachineLearning,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct OverloadAlert {
 +    pub alert_name: String,
 +    pub alert_severity: AlertSeverity,
 +    pub notification_channels: Vec<String>,
 +    pub escalation_policy: String,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum AlertSeverity {
 +    Info,
 +    Warning,
 +    Critical,
 +    Emergency,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct OverloadRecoveryStrategy {
 +    pub strategy_name: String,
 +    pub recovery_actions: Vec<RecoveryAction>,
 +    pub recovery_timeline: Duration,
 +    pub success_criteria: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum RecoveryAction {
 +    IncreaseCapacity,
 +    OptimizeResources,
 +    LoadBalance,
 +    ClearBacklog,
 +    RestoreNormalOperation,
 +}
++
 +// Placeholder trait implementations
 +pub trait TrafficShaper {
 +    fn shape_traffic(&self, traffic: &Traffic) -> Result<ShapedTraffic, ShapingError>;
 +}
++
 +pub trait QoSPrioritizer {
 +    fn prioritize(&self, packets: &[Packet]) -> Result<Vec<PrioritizedPacket>, QoSError>;
 +}
++
 +pub trait NetworkResourceAllocator {
 +    fn allocate_resources(&self, request: &ResourceRequest) -> Result<ResourceAllocation, AllocationError>;
 +}
++
 +// Helper types for traits
 +#[derive(Debug, Clone)]
 +pub struct Traffic {
 +    pub flow_id: String,
 +    pub packets: Vec<Packet>,
 +    pub classification: TrafficClass,
 +}
++
 +#[derive(Debug, Clone)]
 +pub struct Packet {
 +    pub packet_id: String,
 +    pub size: u32,
 +    pub timestamp: Instant,
 +    pub priority: u8,
 +}
++
 +#[derive(Debug, Clone)]
 +pub struct ShapedTraffic {
 +    pub original_traffic: Traffic,
 +    pub shaping_applied: Vec<ShapingAction>,
 +    pub estimated_delay: Duration,
 +}
++
 +#[derive(Debug, Clone)]
 +pub enum ShapingAction {
 +    RateLimit(f64),
 +    Delay(Duration),
 +    Drop,
 +    Remark(u8),
 +}
++
 +#[derive(Debug)]
 +pub struct ShapingError {
 +    pub error_type: String,
 +    pub description: String,
 +}
++
 +#[derive(Debug, Clone)]
 +pub struct PrioritizedPacket {
 +    pub packet: Packet,
 +    pub assigned_priority: u8,
 +    pub queue_assignment: String,
 +    pub expected_delay: Duration,
 +}
++
 +#[derive(Debug)]
 +pub struct QoSError {
 +    pub error_type: String,
 +    pub description: String,
 +}
++
 +#[derive(Debug, Clone)]
 +pub struct ResourceRequest {
 +    pub request_id: String,
 +    pub bandwidth_mbps: f64,
 +    pub latency_requirement: Duration,
 +    pub duration: Duration,
 +}
++
 +#[derive(Debug)]
 +pub struct AllocationError {
 +    pub error_type: String,
 +    pub description: String,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BandwidthPricingEngine {
 +    pub pricing_models: HashMap<String, PricingModelConfig>,
 +    pub market_conditions: MarketConditions,
 +    pub pricing_history: Vec<PricingSnapshot>,
 +    pub optimization_algorithms: Vec<PricingOptimizationAlgorithm>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PricingModelConfig {
 +    pub model_name: String,
 +    pub model_parameters: HashMap<String, f64>,
 +    pub model_accuracy: f64,
 +    pub applicable_scenarios: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct MarketConditions {
 +    pub supply_level: f64,
 +    pub demand_level: f64,
 +    pub competition_intensity: f64,
 +    pub market_volatility: f64,
 +    pub external_factors: HashMap<String, f64>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PricingSnapshot {
 +    pub timestamp: Instant,
 +    pub resource_prices: HashMap<String, f64>,
 +    pub market_metrics: MarketMetrics,
 +    pub pricing_events: Vec<PricingEvent>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct MarketMetrics {
 +    pub total_volume: f64,
 +    pub average_price: f64,
 +    pub price_volatility: f64,
 +    pub market_efficiency: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PricingEvent {
 +    pub event_type: PricingEventType,
 +    pub event_description: String,
 +    pub price_impact: f64,
 +    pub duration: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum PricingEventType {
 +    SupplyShock,
 +    DemandSpike,
 +    CompetitorAction,
 +    RegulatoryChange,
 +    TechnologyUpdate,
 +    MarketManipulation,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PricingOptimizationAlgorithm {
 +    pub algorithm_name: String,
 +    pub optimization_objective: OptimizationObjective,
 +    pub optimization_constraints: Vec<PricingConstraint>,
 +    pub performance_metrics: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PricingConstraint {
 +    pub constraint_name: String,
 +    pub constraint_expression: String,
 +    pub constraint_priority: u8,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BandwidthMarketMetrics {
 +    pub total_contracts: u32,
 +    pub active_contracts: u32,
 +    pub total_bandwidth_traded: f64,
 +    pub average_contract_value: f64,
 +    pub market_liquidity: f64,
 +    pub price_efficiency: f64,
 +    pub customer_satisfaction: f64,
 +    pub network_utilization: f64,
 +}
++
 +impl BandwidthMarketplace {
 +    pub fn new(market_id: String) -> Self {
 +        Self {
 +            market_id,
 +            active_contracts: HashMap::new(),
 +            traffic_shaper: TrafficShaper::new(),
 +            qos_prioritizer: QoSPrioritizer::new(),
 +            resource_allocator: NetworkResourceAllocator::new(),
 +            pricing_engine: BandwidthPricingEngine::new(),
 +            market_metrics: BandwidthMarketMetrics::default(),
 +        }
 +    }
++
 +    pub async fn create_bandwidth_contract(
 +        &mut self,
 +        buyer_id: String,
 +        seller_id: String,
 +        specification: BandwidthSpec,
 +        pricing_terms: BandwidthPricingTerms,
 +        qos_requirements: QoSRequirements,
 +        duration: Duration,
 +    ) -> Result<String, Box<dyn std::error::Error>> {
 +        let contract_id = format!("bw_contract_{}", Instant::now().elapsed().as_millis());
++
 +        let contract = BandwidthContract {
 +            contract_id: contract_id.clone(),
 +            buyer_id,
 +            seller_id,
 +            bandwidth_specification: specification,
 +            pricing_terms,
 +            qos_requirements,
 +            contract_duration: duration,
 +            start_time: Instant::now(),
 +            end_time: Instant::now() + duration,
 +            utilization_metrics: UtilizationMetrics::default(),
 +            compliance_status: ComplianceStatus::default(),
 +        };
++
 +        // Allocate resources for the contract
 +        self.resource_allocator.allocate_for_contract(&contract).await?;
++
 +        // Configure traffic shaping and QoS
 +        self.configure_contract_qos(&contract).await?;
++
 +        self.active_contracts.insert(contract_id.clone(), contract);
++
 +        Ok(contract_id)
 +    }
++
 +    pub async fn monitor_contract_compliance(&mut self, contract_id: &str) -> Result<ComplianceStatus, Box<dyn std::error::Error>> {
 +        let contract = self.active_contracts.get_mut(contract_id)
 +            .ok_or("Contract not found")?;
++
 +        let compliance_status = self.evaluate_compliance(contract).await?;
 +        contract.compliance_status = compliance_status.clone();
++
 +        Ok(compliance_status)
 +    }
++
 +    async fn configure_contract_qos(&mut self, contract: &BandwidthContract) -> Result<(), Box<dyn std::error::Error>> {
 +        // Configure QoS prioritization
 +        self.qos_prioritizer.configure_for_contract(contract).await?;
++
 +        // Configure traffic shaping
 +        self.traffic_shaper.configure_for_contract(contract).await?;
++
 +        Ok(())
 +    }
++
 +    async fn evaluate_compliance(&self, contract: &BandwidthContract) -> Result<ComplianceStatus, Box<dyn std::error::Error>> {
 +        // Placeholder implementation
 +        Ok(ComplianceStatus {
 +            sla_compliance: 0.98,
 +            latency_compliance: 0.95,
 +            availability_compliance: 0.99,
 +            throughput_compliance: 0.97,
 +            violations: Vec::new(),
 +            credits_earned: 0.0,
 +        })
 +    }
 +}
++
 +// Stub implementations for complex components
 +impl TrafficShaper {
 +    fn new() -> Self {
 +        TrafficShaper {
 +            shaping_policies: Vec::new(),
 +            traffic_classification: TrafficClassification::default(),
 +            congestion_control: CongestionControl::default(),
 +            admission_control: AdmissionControl::default(),
 +        }
 +    }
++
 +    async fn configure_for_contract(&mut self, _contract: &BandwidthContract) -> Result<(), Box<dyn std::error::Error>> {
 +        Ok(())
 +    }
 +}
++
 +impl QoSPrioritizer {
 +    fn new() -> Self {
 +        QoSPrioritizer {
 +            priority_classes: HashMap::new(),
 +            qos_policies: Vec::new(),
 +            performance_monitor: QoSPerformanceMonitor::new(),
 +        }
 +    }
++
 +    async fn configure_for_contract(&mut self, _contract: &BandwidthContract) -> Result<(), Box<dyn std::error::Error>> {
 +        Ok(())
 +    }
 +}
++
 +impl NetworkResourceAllocator {
 +    fn new() -> Self {
 +        NetworkResourceAllocator {
 +            resource_pool: ResourcePool::new(),
 +            allocation_strategies: Vec::new(),
 +            utilization_tracker: UtilizationTracker::new(),
 +        }
 +    }
++
 +    async fn allocate_for_contract(&mut self, _contract: &BandwidthContract) -> Result<(), Box<dyn std::error::Error>> {
 +        Ok(())
 +    }
 +}
++
 +impl BandwidthPricingEngine {
 +    fn new() -> Self {
 +        Self {
 +            pricing_models: HashMap::new(),
 +            market_conditions: MarketConditions::default(),
 +            pricing_history: Vec::new(),
 +            optimization_algorithms: Vec::new(),
 +        }
 +    }
 +}
++
 +// Default implementations
 +impl Default for UtilizationMetrics {
 +    fn default() -> Self {
 +        Self {
 +            average_utilization: 0.0,
 +            peak_utilization: 0.0,
 +            utilization_percentiles: UtilizationPercentiles {
 +                p50: 0.0, p75: 0.0, p90: 0.0, p95: 0.0, p99: 0.0,
 +            },
 +            burst_frequency: 0.0,
 +            total_bytes_transferred: 0,
 +            efficiency_score: 0.0,
 +        }
 +    }
 +}
++
 +impl Default for ComplianceStatus {
 +    fn default() -> Self {
 +        Self {
 +            sla_compliance: 1.0,
 +            latency_compliance: 1.0,
 +            availability_compliance: 1.0,
 +            throughput_compliance: 1.0,
 +            violations: Vec::new(),
 +            credits_earned: 0.0,
 +        }
 +    }
 +}
++
 +impl Default for BandwidthMarketMetrics {
 +    fn default() -> Self {
 +        Self {
 +            total_contracts: 0,
 +            active_contracts: 0,
 +            total_bandwidth_traded: 0.0,
 +            average_contract_value: 0.0,
 +            market_liquidity: 0.5,
 +            price_efficiency: 0.8,
 +            customer_satisfaction: 0.85,
 +            network_utilization: 0.6,
 +        }
 +    }
 +}
++
 +impl Default for MarketConditions {
 +    fn default() -> Self {
 +        Self {
 +            supply_level: 0.7,
 +            demand_level: 0.6,
 +            competition_intensity: 0.5,
 +            market_volatility: 0.3,
 +            external_factors: HashMap::new(),
 +        }
 +    }
 +}
++
 +// Helper struct definitions for stubs
 +struct QoSPerformanceMonitor;
 +impl QoSPerformanceMonitor { fn new() -> Self { Self } }
++
 +struct ResourcePool;
 +impl ResourcePool { fn new() -> Self { Self } }
++
 +struct UtilizationTracker;
 +impl UtilizationTracker { fn new() -> Self { Self } }
++
 +impl Default for TrafficClassification {
 +    fn default() -> Self {
 +        Self {
 +            classification_engine: ClassificationEngine::RuleBased,
 +            traffic_classes: HashMap::new(),
 +            classification_rules: Vec::new(),
 +            machine_learning_classifier: None,
 +        }
 +    }
 +}
++
 +impl Default for CongestionControl {
 +    fn default() -> Self {
 +        Self {
 +            congestion_detection: CongestionDetection {
 +                detection_methods: vec![DetectionMethod::QueueDepth],
 +                detection_thresholds: DetectionThresholds {
 +                    queue_depth_threshold: 100,
 +                    packet_loss_threshold: 0.01,
 +                    delay_threshold: Duration::from_millis(100),
 +                    utilization_threshold: 0.8,
 +                },
 +                measurement_window: Duration::from_secs(60),
 +                alert_system: CongestionAlertSystem {
 +                    alert_levels: Vec::new(),
 +                    notification_channels: Vec::new(),
 +                    escalation_policies: Vec::new(),
 +                },
 +            },
 +            congestion_response: CongestionResponse {
 +                response_strategies: Vec::new(),
 +                adaptive_algorithms: Vec::new(),
 +                traffic_engineering: TrafficEngineering {
 +                    path_selection: PathSelectionAlgorithm::ShortestPath,
 +                    load_distribution: LoadDistributionStrategy::EqualCostMultiPath,
 +                    capacity_optimization: CapacityOptimization {
 +                        optimization_objectives: Vec::new(),
 +                        constraints: Vec::new(),
 +                        optimization_frequency: Duration::from_secs(3600),
 +                    },
 +                },
 +            },
 +            flow_control: FlowControl::default(),
 +            load_balancing: LoadBalancing::default(),
 +        }
 +    }
 +}
++
 +impl Default for FlowControl {
 +    fn default() -> Self {
 +        Self {
 +            flow_admission: FlowAdmission {
 +                admission_policies: Vec::new(),
 +                resource_reservation: ResourceReservation {
 +                    reservation_protocol: ReservationProtocol::Custom,
 +                    reservation_state: HashMap::new(),
 +                    refresh_interval: Duration::from_secs(30),
 +                },
 +                call_admission_control: CallAdmissionControl {
 +                    max_concurrent_flows: 1000,
 +                    bandwidth_utilization_limit: 0.9,
 +                    priority_preemption: true,
 +                    admission_algorithms: Vec::new(),
 +                },
 +            },
 +            rate_control: RateControl {
 +                rate_limiting_algorithms: Vec::new(),
 +                feedback_control: FeedbackControl {
 +                    control_loop_type: ControlLoopType::PID,
 +                    feedback_signals: Vec::new(),
 +                    control_parameters: ControlParameters {
 +                        proportional_gain: 1.0,
 +                        integral_gain: 0.1,
 +                        derivative_gain: 0.01,
 +                        setpoint: 0.8,
 +                    },
 +                },
 +                adaptive_rate_control: AdaptiveRateControl {
 +                    adaptation_enabled: false,
 +                    adaptation_triggers: Vec::new(),
 +                    adaptation_algorithms: Vec::new(),
 +                },
 +            },
 +            buffer_management: BufferManagement::default(),
 +        }
 +    }
 +}
++
 +impl Default for BufferManagement {
 +    fn default() -> Self {
 +        Self {
 +            buffer_sizing: BufferSizing {
 +                sizing_algorithm: SizingAlgorithm::RuleBased,
 +                buffer_parameters: BufferParameters {
 +                    min_buffer_size: 1024,
 +                    max_buffer_size: 1024 * 1024,
 +                    target_utilization: 0.8,
 +                    overflow_policy: OverflowPolicy::Drop,
 +                },
 +                dynamic_sizing: false,
 +            },
 +            queue_management: QueueManagement {
 +                active_queue_management: ActiveQueueManagement {
 +                    aqm_algorithm: AQMAlgorithm::RED,
 +                    drop_thresholds: DropThresholds {
 +                        min_threshold: 10,
 +                        max_threshold: 50,
 +                        drop_probability: 0.1,
 +                    },
 +                    marking_probability: 0.1,
 +                },
 +                queue_scheduling: QueueScheduling {
 +                    scheduling_discipline: SchedulingDiscipline::WeightedFairQueuing,
 +                    queue_weights: HashMap::new(),
 +                    priority_mapping: HashMap::new(),
 +                },
 +                queue_monitoring: QueueMonitoring {
 +                    monitoring_metrics: Vec::new(),
 +                    collection_frequency: Duration::from_secs(5),
 +                    alert_thresholds: HashMap::new(),
 +                },
 +            },
 +            memory_allocation: MemoryAllocation {
 +                allocation_strategy: AllocationStrategy::Dynamic,
 +                memory_pools: HashMap::new(),
 +                garbage_collection: GarbageCollection {
 +                    gc_algorithm: GCAlgorithm::MarkAndSweep,
 +                    gc_frequency: Duration::from_secs(60),
 +                    gc_thresholds: GCThresholds {
 +                        memory_threshold: 0.8,
 +                        fragmentation_threshold: 0.3,
 +                        idle_time_threshold: Duration::from_secs(300),
 +                    },
 +                },
 +            },
 +        }
 +    }
 +}
++
 +impl Default for LoadBalancing {
 +    fn default() -> Self {
 +        Self {
 +            load_balancing_algorithms: Vec::new(),
 +            health_monitoring: HealthMonitoring {
 +                health_checks: Vec::new(),
 +                monitoring_frequency: Duration::from_secs(30),
 +                failure_detection: FailureDetection {
 +                    detection_algorithms: Vec::new(),
 +                    failure_thresholds: FailureThresholds {
 +                        consecutive_failures: 3,
 +                        failure_rate_threshold: 0.1,
 +                        response_time_threshold: Duration::from_secs(5),
 +                    },
 +                    recovery_mechanisms: Vec::new(),
 +                },
 +            },
 +            failover_mechanisms: Vec::new(),
 +        }
 +    }
 +}
++
 +impl Default for AdmissionControl {
 +    fn default() -> Self {
 +        Self {
 +            admission_policies: Vec::new(),
 +            resource_monitoring: ResourceMonitoring {
 +                monitored_resources: Vec::new(),
 +                monitoring_frequency: Duration::from_secs(10),
 +                resource_forecasting: ResourceForecasting {
 +                    forecasting_enabled: false,
 +                    forecasting_horizon: Duration::from_secs(3600),
 +                    forecasting_models: Vec::new(),
 +                    forecast_accuracy: 0.8,
 +                },
 +            },
 +            overload_protection: OverloadProtection {
 +                protection_mechanisms: Vec::new(),
 +                overload_detection: OverloadDetection {
 +                    detection_metrics: Vec::new(),
 +                    detection_algorithms: Vec::new(),
 +                    alert_mechanisms: Vec::new(),
 +                },
 +                recovery_strategies: Vec::new(),
 +            },
 +        }
 +    }
 +}

src/market/dynamic_pricing.rsadded

 +//! Dynamic Pricing Engine
 +//!
 +//! Real-time storage and bandwidth pricing based on supply and demand
++
 +use serde::{Deserialize, Serialize};
 +use std::collections::{HashMap, VecDeque};
 +use tokio::time::{Duration, Instant};
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct MarketPrice {
 +    pub resource_type: ResourceType,
 +    pub current_price: f64, // ZEPH per unit per hour
 +    pub base_price: f64,
 +    pub demand_multiplier: f64,
 +    pub supply_multiplier: f64,
 +    pub quality_premium: f64,
 +    pub regional_adjustment: f64,
 +    pub timestamp: Instant,
 +    pub confidence_score: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ResourceType {
 +    Storage { size_gb: u64 },
 +    Bandwidth { mbps: u64 },
 +    Compute { cpu_cores: u32 },
 +    NetworkLatency { max_ms: u32 },
 +    Redundancy { level: u8 },
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct SupplyDemandMetrics {
 +    pub resource_type: ResourceType,
 +    pub total_supply: f64,
 +    pub available_supply: f64,
 +    pub current_demand: f64,
 +    pub projected_demand: f64,
 +    pub utilization_rate: f64,
 +    pub supply_demand_ratio: f64,
 +    pub market_tension: f64, // 0.0 = oversupply, 1.0 = undersupply
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PriceHistory {
 +    pub resource_type: ResourceType,
 +    pub price_points: VecDeque<PricePoint>,
 +    pub moving_averages: MovingAverages,
 +    pub volatility_index: f64,
 +    pub trend_direction: PriceTrend,
 +    pub price_elasticity: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PricePoint {
 +    pub timestamp: Instant,
 +    pub price: f64,
 +    pub volume: f64,
 +    pub supply: f64,
 +    pub demand: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct MovingAverages {
 +    pub ma_5min: f64,
 +    pub ma_15min: f64,
 +    pub ma_1hour: f64,
 +    pub ma_24hour: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum PriceTrend {
 +    StrongBull,    // Prices rising rapidly
 +    Bull,          // Prices rising
 +    Sideways,      // Prices stable
 +    Bear,          // Prices falling
 +    StrongBear,    // Prices falling rapidly
 +}
++
 +#[derive(Debug, Clone)]
 +pub enum PricingModel {
 +    SupplyDemand,      // Basic supply/demand curves
 +    Dutch,             // Dutch auction pricing
 +    Vickrey,           // Second-price sealed-bid
 +    Continuous,        // Continuous double auction
 +    Algorithmic,       // ML-based algorithmic pricing
 +    Hybrid,            // Combination of multiple models
 +}
++
 +pub struct DynamicPricingEngine {
 +    market_prices: HashMap<String, MarketPrice>,
 +    price_history: HashMap<String, PriceHistory>,
 +    supply_demand_cache: HashMap<String, SupplyDemandMetrics>,
 +    pricing_models: HashMap<ResourceType, PricingModel>,
 +    base_rates: BaseRateConfiguration,
 +    market_makers: Vec<MarketMaker>,
 +    price_bounds: PriceBounds,
 +    update_frequency: Duration,
 +}
++
 +#[derive(Debug, Clone)]
 +struct BaseRateConfiguration {
 +    storage_per_gb_per_hour: f64,     // 0.001 ZEPH/GB/hour
 +    bandwidth_per_mbps_per_hour: f64, // 0.01 ZEPH/Mbps/hour
 +    compute_per_core_per_hour: f64,   // 0.1 ZEPH/core/hour
 +    latency_premium_per_ms: f64,      // 0.0001 ZEPH/ms reduction
 +    redundancy_multiplier: f64,       // 1.5x per redundancy level
 +}
++
 +struct MarketMaker {
 +    node_id: String,
 +    resource_capacity: HashMap<ResourceType, f64>,
 +    current_utilization: HashMap<ResourceType, f64>,
 +    pricing_strategy: MarketMakingStrategy,
 +    profit_margin: f64,
 +    minimum_price: f64,
 +    maximum_price: f64,
 +}
++
 +#[derive(Debug, Clone)]
 +enum MarketMakingStrategy {
 +    Conservative,  // Stable pricing, low risk
 +    Aggressive,    // Dynamic pricing, high profit potential
 +    Balanced,      // Moderate pricing adjustments
 +    Opportunistic, // Price based on market conditions
 +}
++
 +#[derive(Debug, Clone)]
 +struct PriceBounds {
 +    min_multiplier: f64, // 0.1x base price minimum
 +    max_multiplier: f64, // 10x base price maximum
 +    volatility_limit: f64, // Max 50% price change per update
 +    emergency_ceiling: f64, // Hard cap for crisis situations
 +}
++
 +impl DynamicPricingEngine {
 +    pub fn new() -> Self {
 +        Self {
 +            market_prices: HashMap::new(),
 +            price_history: HashMap::new(),
 +            supply_demand_cache: HashMap::new(),
 +            pricing_models: Self::initialize_pricing_models(),
 +            base_rates: BaseRateConfiguration::default(),
 +            market_makers: Vec::new(),
 +            price_bounds: PriceBounds::default(),
 +            update_frequency: Duration::from_secs(60), // 1-minute updates
 +        }
 +    }
++
 +    pub async fn update_market_prices(&mut self) -> Result<(), Box<dyn std::error::Error>> {
 +        let resource_types = self.get_active_resource_types();
++
 +        for resource_type in resource_types {
 +            let supply_demand = self.calculate_supply_demand(&resource_type).await?;
 +            let new_price = self.calculate_optimal_price(&resource_type, &supply_demand).await?;
++
 +            self.update_price_history(&resource_type, &new_price);
 +            self.market_prices.insert(
 +                self.resource_type_key(&resource_type),
 +                new_price,
 +            );
 +            self.supply_demand_cache.insert(
 +                self.resource_type_key(&resource_type),
 +                supply_demand,
 +            );
 +        }
++
 +        self.rebalance_market_makers().await?;
++
 +        Ok(())
 +    }
++
 +    pub fn get_current_price(&self, resource_type: &ResourceType) -> Option<&MarketPrice> {
 +        self.market_prices.get(&self.resource_type_key(resource_type))
 +    }
++
 +    pub fn get_price_history(&self, resource_type: &ResourceType) -> Option<&PriceHistory> {
 +        self.price_history.get(&self.resource_type_key(resource_type))
 +    }
++
 +    pub async fn quote_storage_price(
 +        &self,
 +        size_gb: u64,
 +        duration_hours: u64,
 +        quality_tier: QualityTier,
 +        region: &str,
 +    ) -> Result<PriceQuote, Box<dyn std::error::Error>> {
 +        let resource_type = ResourceType::Storage { size_gb };
 +        let base_price = self.get_current_price(&resource_type)
 +            .map(|p| p.current_price)
 +            .unwrap_or(self.base_rates.storage_per_gb_per_hour);
++
 +        let quality_multiplier = match quality_tier {
 +            QualityTier::Economy => 0.8,
 +            QualityTier::Standard => 1.0,
 +            QualityTier::Premium => 1.5,
 +            QualityTier::Enterprise => 2.0,
 +        };
++
 +        let regional_multiplier = self.get_regional_price_multiplier(region).await;
 +        let volume_discount = self.calculate_volume_discount(size_gb as f64);
++
 +        let unit_price = base_price * quality_multiplier * regional_multiplier * volume_discount;
 +        let total_price = unit_price * size_gb as f64 * duration_hours as f64;
++
 +        Ok(PriceQuote {
 +            resource_type,
 +            unit_price,
 +            total_price,
 +            currency: "ZEPH".to_string(),
 +            valid_until: Instant::now() + Duration::from_secs(300), // 5-minute validity
 +            breakdown: PriceBreakdown {
 +                base_price,
 +                quality_multiplier,
 +                regional_multiplier,
 +                volume_discount,
 +                estimated_fees: total_price * 0.02, // 2% network fees
 +            },
 +        })
 +    }
++
 +    pub async fn quote_bandwidth_price(
 +        &self,
 +        mbps: u64,
 +        duration_hours: u64,
 +        latency_requirement: Option<u32>,
 +        region: &str,
 +    ) -> Result<PriceQuote, Box<dyn std::error::Error>> {
 +        let resource_type = ResourceType::Bandwidth { mbps };
 +        let base_price = self.get_current_price(&resource_type)
 +            .map(|p| p.current_price)
 +            .unwrap_or(self.base_rates.bandwidth_per_mbps_per_hour);
++
 +        let latency_premium = if let Some(max_ms) = latency_requirement {
 +            let premium_rate = self.base_rates.latency_premium_per_ms;
 +            let base_latency = 100.0; // 100ms baseline
 +            if (max_ms as f64) < base_latency {
 +                (base_latency - max_ms as f64) * premium_rate
 +            } else {
 +                0.0
 +            }
 +        } else {
 +            0.0
 +        };
++
 +        let regional_multiplier = self.get_regional_price_multiplier(region).await;
 +        let peak_time_multiplier = self.get_peak_time_multiplier().await;
++
 +        let unit_price = (base_price + latency_premium) * regional_multiplier * peak_time_multiplier;
 +        let total_price = unit_price * mbps as f64 * duration_hours as f64;
++
 +        Ok(PriceQuote {
 +            resource_type,
 +            unit_price,
 +            total_price,
 +            currency: "ZEPH".to_string(),
 +            valid_until: Instant::now() + Duration::from_secs(300),
 +            breakdown: PriceBreakdown {
 +                base_price,
 +                quality_multiplier: peak_time_multiplier,
 +                regional_multiplier,
 +                volume_discount: 1.0,
 +                estimated_fees: total_price * 0.02,
 +            },
 +        })
 +    }
++
 +    async fn calculate_supply_demand(&mut self, resource_type: &ResourceType) -> Result<SupplyDemandMetrics, Box<dyn std::error::Error>> {
 +        // Aggregate supply from all market makers
 +        let total_supply = self.market_makers.iter()
 +            .filter_map(|mm| mm.resource_capacity.get(resource_type))
 +            .sum();
++
 +        let current_utilization: f64 = self.market_makers.iter()
 +            .filter_map(|mm| mm.current_utilization.get(resource_type))
 +            .sum();
++
 +        let available_supply = total_supply - current_utilization;
++
 +        // Calculate demand metrics (placeholder - would use real demand data)
 +        let current_demand = current_utilization * 1.2; // 20% buffer
 +        let projected_demand = self.project_future_demand(resource_type).await;
++
 +        let utilization_rate = if total_supply > 0.0 { current_utilization / total_supply } else { 0.0 };
 +        let supply_demand_ratio = if current_demand > 0.0 { available_supply / current_demand } else { f64::INFINITY };
++
 +        // Market tension: 0.0 = oversupply, 1.0 = undersupply
 +        let market_tension = if supply_demand_ratio > 2.0 { 0.0 }
 +                            else if supply_demand_ratio > 1.5 { 0.2 }
 +                            else if supply_demand_ratio > 1.0 { 0.5 }
 +                            else if supply_demand_ratio > 0.5 { 0.8 }
 +                            else { 1.0 };
++
 +        Ok(SupplyDemandMetrics {
 +            resource_type: resource_type.clone(),
 +            total_supply,
 +            available_supply,
 +            current_demand,
 +            projected_demand,
 +            utilization_rate,
 +            supply_demand_ratio,
 +            market_tension,
 +        })
 +    }
++
 +    async fn calculate_optimal_price(
 +        &self,
 +        resource_type: &ResourceType,
 +        metrics: &SupplyDemandMetrics,
 +    ) -> Result<MarketPrice, Box<dyn std::error::Error>> {
 +        let base_price = self.get_base_price_for_resource(resource_type);
++
 +        // Supply multiplier: lower supply = higher prices
 +        let supply_multiplier = if metrics.supply_demand_ratio < 0.5 { 2.0 }
 +                               else if metrics.supply_demand_ratio < 1.0 { 1.5 }
 +                               else if metrics.supply_demand_ratio < 2.0 { 1.0 }
 +                               else { 0.8 };
++
 +        // Demand multiplier: higher utilization = higher prices
 +        let demand_multiplier = 1.0 + (metrics.utilization_rate * 1.5);
++
 +        // Market tension adjustment
 +        let tension_adjustment = 1.0 + (metrics.market_tension * 0.5);
++
 +        let calculated_price = base_price * supply_multiplier * demand_multiplier * tension_adjustment;
++
 +        // Apply price bounds
 +        let bounded_price = calculated_price
 +            .max(base_price * self.price_bounds.min_multiplier)
 +            .min(base_price * self.price_bounds.max_multiplier);
++
 +        // Check for volatility limits
 +        let final_price = if let Some(previous_price) = self.get_current_price(resource_type) {
 +            let max_change = previous_price.current_price * self.price_bounds.volatility_limit;
 +            bounded_price
 +                .max(previous_price.current_price - max_change)
 +                .min(previous_price.current_price + max_change)
 +        } else {
 +            bounded_price
 +        };
++
 +        Ok(MarketPrice {
 +            resource_type: resource_type.clone(),
 +            current_price: final_price,
 +            base_price,
 +            demand_multiplier,
 +            supply_multiplier,
 +            quality_premium: 0.0,
 +            regional_adjustment: 1.0,
 +            timestamp: Instant::now(),
 +            confidence_score: self.calculate_price_confidence(metrics),
 +        })
 +    }
++
 +    fn calculate_price_confidence(&self, metrics: &SupplyDemandMetrics) -> f64 {
 +        let supply_confidence = if metrics.total_supply > 1000.0 { 0.9 }
 +                               else if metrics.total_supply > 100.0 { 0.7 }
 +                               else { 0.4 };
++
 +        let demand_stability = if metrics.current_demand > 0.0 {
 +            let demand_variance = (metrics.projected_demand - metrics.current_demand).abs() / metrics.current_demand;
 +            1.0 - demand_variance.min(1.0)
 +        } else {
 +            0.5
 +        };
++
 +        let market_maturity = if metrics.utilization_rate > 0.1 && metrics.utilization_rate < 0.9 { 0.8 } else { 0.6 };
++
 +        (supply_confidence + demand_stability + market_maturity) / 3.0
 +    }
++
 +    async fn project_future_demand(&self, resource_type: &ResourceType) -> f64 {
 +        // Simple trend projection based on historical data
 +        if let Some(history) = self.price_history.get(&self.resource_type_key(resource_type)) {
 +            let recent_volumes: Vec<f64> = history.price_points.iter()
 +                .rev()
 +                .take(10)
 +                .map(|point| point.volume)
 +                .collect();
++
 +            if recent_volumes.len() >= 3 {
 +                let trend = (recent_volumes[0] - recent_volumes[recent_volumes.len() - 1]) / recent_volumes.len() as f64;
 +                let current_volume = recent_volumes[0];
 +                return current_volume + trend * 5.0; // Project 5 periods ahead
 +            }
 +        }
++
 +        // Fallback to current demand * growth factor
 +        self.supply_demand_cache.get(&self.resource_type_key(resource_type))
 +            .map(|metrics| metrics.current_demand * 1.1)
 +            .unwrap_or(100.0)
 +    }
++
 +    fn update_price_history(&mut self, resource_type: &ResourceType, price: &MarketPrice) {
 +        let key = self.resource_type_key(resource_type);
 +        let history = self.price_history.entry(key.clone()).or_insert_with(|| PriceHistory {
 +            resource_type: resource_type.clone(),
 +            price_points: VecDeque::new(),
 +            moving_averages: MovingAverages { ma_5min: 0.0, ma_15min: 0.0, ma_1hour: 0.0, ma_24hour: 0.0 },
 +            volatility_index: 0.0,
 +            trend_direction: PriceTrend::Sideways,
 +            price_elasticity: 0.5,
 +        });
++
 +        // Add new price point
 +        let price_point = PricePoint {
 +            timestamp: price.timestamp,
 +            price: price.current_price,
 +            volume: self.supply_demand_cache.get(&key)
 +                .map(|metrics| metrics.current_demand)
 +                .unwrap_or(0.0),
 +            supply: self.supply_demand_cache.get(&key)
 +                .map(|metrics| metrics.available_supply)
 +                .unwrap_or(0.0),
 +            demand: self.supply_demand_cache.get(&key)
 +                .map(|metrics| metrics.current_demand)
 +                .unwrap_or(0.0),
 +        };
++
 +        history.price_points.push_back(price_point);
++
 +        // Keep only last 24 hours of data (1440 minutes)
 +        if history.price_points.len() > 1440 {
 +            history.price_points.pop_front();
 +        }
++
 +        // Update moving averages
 +        self.update_moving_averages(history);
 +        self.update_trend_analysis(history);
 +    }
++
 +    fn update_moving_averages(&self, history: &mut PriceHistory) {
 +        let prices: Vec<f64> = history.price_points.iter().map(|p| p.price).collect();
++
 +        if prices.len() >= 5 {
 +            history.moving_averages.ma_5min = prices.iter().rev().take(5).sum::<f64>() / 5.0;
 +        }
 +        if prices.len() >= 15 {
 +            history.moving_averages.ma_15min = prices.iter().rev().take(15).sum::<f64>() / 15.0;
 +        }
 +        if prices.len() >= 60 {
 +            history.moving_averages.ma_1hour = prices.iter().rev().take(60).sum::<f64>() / 60.0;
 +        }
 +        if prices.len() >= 1440 {
 +            history.moving_averages.ma_24hour = prices.iter().rev().take(1440).sum::<f64>() / 1440.0;
 +        }
 +    }
++
 +    fn update_trend_analysis(&self, history: &mut PriceHistory) {
 +        if history.price_points.len() < 10 {
 +            return;
 +        }
++
 +        let recent_prices: Vec<f64> = history.price_points.iter()
 +            .rev()
 +            .take(20)
 +            .map(|p| p.price)
 +            .collect();
++
 +        // Calculate price change over the period
 +        let price_change = (recent_prices[0] - recent_prices[recent_prices.len() - 1]) / recent_prices[recent_prices.len() - 1];
++
 +        history.trend_direction = if price_change > 0.1 { PriceTrend::StrongBull }
 +                                 else if price_change > 0.02 { PriceTrend::Bull }
 +                                 else if price_change > -0.02 { PriceTrend::Sideways }
 +                                 else if price_change > -0.1 { PriceTrend::Bear }
 +                                 else { PriceTrend::StrongBear };
++
 +        // Calculate volatility index
 +        let mean_price = recent_prices.iter().sum::<f64>() / recent_prices.len() as f64;
 +        let variance = recent_prices.iter()
 +            .map(|&price| (price - mean_price).powi(2))
 +            .sum::<f64>() / recent_prices.len() as f64;
 +        history.volatility_index = variance.sqrt() / mean_price;
 +    }
++
 +    async fn rebalance_market_makers(&mut self) -> Result<(), Box<dyn std::error::Error>> {
 +        for market_maker in &mut self.market_makers {
 +            match market_maker.pricing_strategy {
 +                MarketMakingStrategy::Conservative => {
 +                    // Adjust prices slowly, maintain stability
 +                    self.apply_conservative_pricing_updates(market_maker).await?;
 +                }
 +                MarketMakingStrategy::Aggressive => {
 +                    // Quick price adjustments for maximum profit
 +                    self.apply_aggressive_pricing_updates(market_maker).await?;
 +                }
 +                MarketMakingStrategy::Balanced => {
 +                    // Moderate price adjustments
 +                    self.apply_balanced_pricing_updates(market_maker).await?;
 +                }
 +                MarketMakingStrategy::Opportunistic => {
 +                    // Price based on market opportunities
 +                    self.apply_opportunistic_pricing_updates(market_maker).await?;
 +                }
 +            }
 +        }
 +        Ok(())
 +    }
++
 +    async fn apply_conservative_pricing_updates(&self, _market_maker: &mut MarketMaker) -> Result<(), Box<dyn std::error::Error>> {
 +        // Conservative pricing: small, stable adjustments
 +        Ok(())
 +    }
++
 +    async fn apply_aggressive_pricing_updates(&self, _market_maker: &mut MarketMaker) -> Result<(), Box<dyn std::error::Error>> {
 +        // Aggressive pricing: larger adjustments for profit maximization
 +        Ok(())
 +    }
++
 +    async fn apply_balanced_pricing_updates(&self, _market_maker: &mut MarketMaker) -> Result<(), Box<dyn std::error::Error>> {
 +        // Balanced pricing: moderate adjustments
 +        Ok(())
 +    }
++
 +    async fn apply_opportunistic_pricing_updates(&self, _market_maker: &mut MarketMaker) -> Result<(), Box<dyn std::error::Error>> {
 +        // Opportunistic pricing: based on market conditions
 +        Ok(())
 +    }
++
 +    fn get_base_price_for_resource(&self, resource_type: &ResourceType) -> f64 {
 +        match resource_type {
 +            ResourceType::Storage { .. } => self.base_rates.storage_per_gb_per_hour,
 +            ResourceType::Bandwidth { .. } => self.base_rates.bandwidth_per_mbps_per_hour,
 +            ResourceType::Compute { .. } => self.base_rates.compute_per_core_per_hour,
 +            ResourceType::NetworkLatency { .. } => self.base_rates.latency_premium_per_ms,
 +            ResourceType::Redundancy { level } => {
 +                self.base_rates.storage_per_gb_per_hour * (self.base_rates.redundancy_multiplier * *level as f64)
 +            }
 +        }
 +    }
++
 +    async fn get_regional_price_multiplier(&self, region: &str) -> f64 {
 +        match region {
 +            "us-east" | "us-west" => 1.0,
 +            "europe" => 1.1,
 +            "asia-pacific" => 0.9,
 +            "south-america" => 0.8,
 +            "africa" => 0.7,
 +            "middle-east" => 1.2,
 +            _ => 1.0,
 +        }
 +    }
++
 +    async fn get_peak_time_multiplier(&self) -> f64 {
 +        // Placeholder: would use real time-of-day analysis
 +        1.0
 +    }
++
 +    fn calculate_volume_discount(&self, volume: f64) -> f64 {
 +        if volume > 1000.0 { 0.8 }      // 20% discount for > 1TB
 +        else if volume > 100.0 { 0.9 }  // 10% discount for > 100GB
 +        else { 1.0 }                    // No discount
 +    }
++
 +    fn get_active_resource_types(&self) -> Vec<ResourceType> {
 +        vec![
 +            ResourceType::Storage { size_gb: 1 },
 +            ResourceType::Bandwidth { mbps: 1 },
 +            ResourceType::Compute { cpu_cores: 1 },
 +            ResourceType::NetworkLatency { max_ms: 100 },
 +            ResourceType::Redundancy { level: 2 },
 +        ]
 +    }
++
 +    fn resource_type_key(&self, resource_type: &ResourceType) -> String {
 +        match resource_type {
 +            ResourceType::Storage { .. } => "storage".to_string(),
 +            ResourceType::Bandwidth { .. } => "bandwidth".to_string(),
 +            ResourceType::Compute { .. } => "compute".to_string(),
 +            ResourceType::NetworkLatency { .. } => "latency".to_string(),
 +            ResourceType::Redundancy { .. } => "redundancy".to_string(),
 +        }
 +    }
++
 +    fn initialize_pricing_models() -> HashMap<ResourceType, PricingModel> {
 +        let mut models = HashMap::new();
 +        models.insert(ResourceType::Storage { size_gb: 0 }, PricingModel::SupplyDemand);
 +        models.insert(ResourceType::Bandwidth { mbps: 0 }, PricingModel::Continuous);
 +        models.insert(ResourceType::Compute { cpu_cores: 0 }, PricingModel::Dutch);
 +        models.insert(ResourceType::NetworkLatency { max_ms: 0 }, PricingModel::Vickrey);
 +        models.insert(ResourceType::Redundancy { level: 0 }, PricingModel::Hybrid);
 +        models
 +    }
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum QualityTier {
 +    Economy,    // Basic service, lower reliability
 +    Standard,   // Standard service, good reliability
 +    Premium,    // High-quality service, high reliability
 +    Enterprise, // Maximum quality, SLA guarantees
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PriceQuote {
 +    pub resource_type: ResourceType,
 +    pub unit_price: f64,
 +    pub total_price: f64,
 +    pub currency: String,
 +    pub valid_until: Instant,
 +    pub breakdown: PriceBreakdown,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PriceBreakdown {
 +    pub base_price: f64,
 +    pub quality_multiplier: f64,
 +    pub regional_multiplier: f64,
 +    pub volume_discount: f64,
 +    pub estimated_fees: f64,
 +}
++
 +impl Default for BaseRateConfiguration {
 +    fn default() -> Self {
 +        Self {
 +            storage_per_gb_per_hour: 0.001,
 +            bandwidth_per_mbps_per_hour: 0.01,
 +            compute_per_core_per_hour: 0.1,
 +            latency_premium_per_ms: 0.0001,
 +            redundancy_multiplier: 1.5,
 +        }
 +    }
 +}
++
 +impl Default for PriceBounds {
 +    fn default() -> Self {
 +        Self {
 +            min_multiplier: 0.1,
 +            max_multiplier: 10.0,
 +            volatility_limit: 0.5,
 +            emergency_ceiling: 100.0,
 +        }
 +    }
 +}

src/market/load_balancer.rsadded

1068 lines changed — click to load

 +//! Economic Load Balancer
 +//!
 +//! Load balancing with economic incentives and cost optimization
++
 +use serde::{Deserialize, Serialize};
 +use std::collections::HashMap;
 +use tokio::time::{Duration, Instant};
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct EconomicLoadBalancer {
 +    pub balancer_id: String,
 +    pub strategy: LoadBalancingStrategy,
 +    pub cost_optimizer: CostOptimizer,
 +    pub performance_tracker: PerformanceTracker,
 +    pub node_pool: NodePool,
 +    pub routing_policies: Vec<RoutingPolicy>,
 +    pub economic_metrics: EconomicMetrics,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum LoadBalancingStrategy {
 +    CostOptimized,       // Minimize total cost
 +    PerformanceFirst,    // Maximize performance regardless of cost
 +    Balanced,            // Balance cost vs performance
 +    LatencyOptimized,    // Minimize response time
 +    ThroughputMaximized, // Maximize throughput
 +    EnergyEfficient,     // Minimize energy consumption
 +    RevenueMaximized,    // Maximize network revenue
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CostOptimizer {
 +    pub optimization_algorithm: OptimizationAlgorithm,
 +    pub cost_models: HashMap<String, CostModel>,
 +    pub budget_constraints: BudgetConstraints,
 +    pub cost_thresholds: CostThresholds,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum OptimizationAlgorithm {
 +    GreedyOptimization,
 +    DynamicProgramming,
 +    GeneticAlgorithm,
 +    SimulatedAnnealing,
 +    LinearProgramming,
 +    MachineLearning,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CostModel {
 +    pub model_name: String,
 +    pub cost_components: Vec<CostComponent>,
 +    pub cost_function: CostFunction,
 +    pub model_accuracy: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CostComponent {
 +    pub component_name: String,
 +    pub cost_type: CostType,
 +    pub unit_cost: f64,
 +    pub scaling_factor: f64,
 +    pub minimum_cost: f64,
 +    pub maximum_cost: Option<f64>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum CostType {
 +    Fixed,          // Fixed cost per time period
 +    Variable,       // Variable cost per unit
 +    Tiered,         // Tiered pricing structure
 +    Peak,           // Peak hour pricing
 +    Spot,           // Spot pricing (market-based)
 +    Reserved,       // Reserved capacity pricing
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CostFunction {
 +    pub function_type: FunctionType,
 +    pub parameters: Vec<f64>,
 +    pub constraints: Vec<Constraint>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum FunctionType {
 +    Linear,
 +    Quadratic,
 +    Exponential,
 +    Logarithmic,
 +    Piecewise,
 +    Custom(String),
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct Constraint {
 +    pub constraint_name: String,
 +    pub constraint_expression: String,
 +    pub constraint_type: ConstraintType,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ConstraintType {
 +    Equality,
 +    LessThan,
 +    GreaterThan,
 +    Range,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BudgetConstraints {
 +    pub total_budget: f64,
 +    pub budget_periods: Vec<BudgetPeriod>,
 +    pub cost_allocation: HashMap<String, f64>,
 +    pub overage_policy: OveragePolicy,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BudgetPeriod {
 +    pub period_name: String,
 +    pub start_time: Instant,
 +    pub end_time: Instant,
 +    pub allocated_budget: f64,
 +    pub spent_budget: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum OveragePolicy {
 +    Block,              // Block requests when budget exceeded
 +    Alert,              // Alert but continue service
 +    ScaleDown,          // Reduce service capacity
 +    BorrowFromNext,     // Borrow from next period budget
 +    Emergency,          // Use emergency budget
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CostThresholds {
 +    pub warning_threshold: f64,     // % of budget
 +    pub critical_threshold: f64,    // % of budget
 +    pub optimization_trigger: f64,  // Cost increase % to trigger optimization
 +    pub emergency_threshold: f64,   // Emergency action threshold
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PerformanceTracker {
 +    pub metrics: HashMap<String, PerformanceMetric>,
 +    pub sla_targets: HashMap<String, SLATarget>,
 +    pub performance_history: Vec<PerformanceSnapshot>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PerformanceMetric {
 +    pub metric_name: String,
 +    pub current_value: f64,
 +    pub target_value: f64,
 +    pub weight: f64,
 +    pub trend: Trend,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum Trend {
 +    Improving,
 +    Stable,
 +    Degrading,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct SLATarget {
 +    pub target_name: String,
 +    pub target_value: f64,
 +    pub measurement_window: Duration,
 +    pub penalty_per_violation: f64,
 +    pub current_compliance: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PerformanceSnapshot {
 +    pub timestamp: Instant,
 +    pub response_time: Duration,
 +    pub throughput: f64,
 +    pub error_rate: f64,
 +    pub cost_per_request: f64,
 +    pub node_utilization: HashMap<String, f64>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct NodePool {
 +    pub nodes: HashMap<String, LoadBalancerNode>,
 +    pub node_tiers: HashMap<String, NodeTier>,
 +    pub capacity_management: CapacityManagement,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct LoadBalancerNode {
 +    pub node_id: String,
 +    pub node_tier: String,
 +    pub capacity: NodeCapacity,
 +    pub pricing: NodePricing,
 +    pub performance_profile: PerformanceProfile,
 +    pub availability: NodeAvailability,
 +    pub health_status: HealthStatus,
 +    pub economic_score: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct NodeCapacity {
 +    pub max_requests_per_second: f64,
 +    pub max_concurrent_connections: u32,
 +    pub storage_capacity_gb: u64,
 +    pub bandwidth_mbps: f64,
 +    pub cpu_cores: u32,
 +    pub memory_gb: u32,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct NodePricing {
 +    pub pricing_model: PricingModel,
 +    pub cost_per_request: f64,
 +    pub cost_per_gb_storage: f64,
 +    pub cost_per_gb_bandwidth: f64,
 +    pub cost_per_hour: f64,
 +    pub bulk_discounts: Vec<BulkDiscount>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum PricingModel {
 +    PayPerUse,
 +    Subscription,
 +    Reserved,
 +    Spot,
 +    Hybrid,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BulkDiscount {
 +    pub threshold: f64,
 +    pub discount_percentage: f64,
 +    pub applies_to: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PerformanceProfile {
 +    pub average_response_time: Duration,
 +    pub throughput_capacity: f64,
 +    pub reliability_score: f64,
 +    pub latency_percentiles: LatencyPercentiles,
 +    pub resource_efficiency: ResourceEfficiency,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct LatencyPercentiles {
 +    pub p50: Duration,
 +    pub p90: Duration,
 +    pub p95: Duration,
 +    pub p99: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ResourceEfficiency {
 +    pub cpu_efficiency: f64,
 +    pub memory_efficiency: f64,
 +    pub storage_efficiency: f64,
 +    pub network_efficiency: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct NodeAvailability {
 +    pub current_availability: f64,
 +    pub scheduled_maintenance: Vec<MaintenanceWindow>,
 +    pub availability_history: Vec<AvailabilityRecord>,
 +    pub uptime_sla: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct MaintenanceWindow {
 +    pub start_time: Instant,
 +    pub end_time: Instant,
 +    pub maintenance_type: MaintenanceType,
 +    pub impact_level: ImpactLevel,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum MaintenanceType {
 +    Routine,
 +    Security,
 +    Hardware,
 +    Software,
 +    Emergency,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ImpactLevel {
 +    None,
 +    Low,
 +    Medium,
 +    High,
 +    Complete,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AvailabilityRecord {
 +    pub timestamp: Instant,
 +    pub availability_percentage: f64,
 +    pub downtime_duration: Duration,
 +    pub downtime_reason: String,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum HealthStatus {
 +    Healthy,
 +    Warning,
 +    Critical,
 +    Maintenance,
 +    Offline,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct NodeTier {
 +    pub tier_name: String,
 +    pub tier_level: u8,
 +    pub performance_guarantees: Vec<PerformanceGuarantee>,
 +    pub cost_characteristics: CostCharacteristics,
 +    pub resource_limits: ResourceLimits,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PerformanceGuarantee {
 +    pub metric_name: String,
 +    pub guaranteed_value: f64,
 +    pub measurement_period: Duration,
 +    pub penalty_if_violated: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CostCharacteristics {
 +    pub cost_predictability: f64,  // 0.0 = unpredictable, 1.0 = very predictable
 +    pub cost_stability: f64,       // Price volatility measure
 +    pub bulk_pricing_available: bool,
 +    pub commitment_discounts: Vec<CommitmentDiscount>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CommitmentDiscount {
 +    pub commitment_duration: Duration,
 +    pub discount_percentage: f64,
 +    pub minimum_usage: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ResourceLimits {
 +    pub max_cpu_utilization: f64,
 +    pub max_memory_utilization: f64,
 +    pub max_storage_utilization: f64,
 +    pub max_network_utilization: f64,
 +    pub burst_limits: BurstLimits,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BurstLimits {
 +    pub cpu_burst_multiplier: f64,
 +    pub memory_burst_multiplier: f64,
 +    pub network_burst_multiplier: f64,
 +    pub burst_duration: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CapacityManagement {
 +    pub auto_scaling: AutoScalingConfig,
 +    pub capacity_planning: CapacityPlanning,
 +    pub resource_allocation: ResourceAllocation,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AutoScalingConfig {
 +    pub enabled: bool,
 +    pub scaling_policies: Vec<ScalingPolicy>,
 +    pub cooldown_periods: CooldownPeriods,
 +    pub scaling_limits: ScalingLimits,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ScalingPolicy {
 +    pub policy_name: String,
 +    pub trigger_metric: String,
 +    pub scale_up_threshold: f64,
 +    pub scale_down_threshold: f64,
 +    pub scaling_action: ScalingAction,
 +    pub economic_constraints: EconomicConstraints,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ScalingAction {
 +    AddNodes { count: u32 },
 +    RemoveNodes { count: u32 },
 +    ChangeNodeTier { target_tier: String },
 +    AdjustCapacity { percentage: f64 },
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct EconomicConstraints {
 +    pub max_cost_increase: f64,
 +    pub roi_threshold: f64,
 +    pub payback_period: Duration,
 +    pub budget_limit: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CooldownPeriods {
 +    pub scale_up_cooldown: Duration,
 +    pub scale_down_cooldown: Duration,
 +    pub policy_change_cooldown: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ScalingLimits {
 +    pub min_nodes: u32,
 +    pub max_nodes: u32,
 +    pub max_scaling_rate: f64, // nodes per minute
 +    pub max_cost_per_hour: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CapacityPlanning {
 +    pub planning_horizon: Duration,
 +    pub demand_forecasts: Vec<DemandForecast>,
 +    pub capacity_recommendations: Vec<CapacityRecommendation>,
 +    pub cost_projections: Vec<CostProjection>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct DemandForecast {
 +    pub forecast_period: Duration,
 +    pub predicted_demand: f64,
 +    pub confidence_interval: (f64, f64),
 +    pub seasonal_factors: Vec<SeasonalFactor>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct SeasonalFactor {
 +    pub factor_name: String,
 +    pub multiplier: f64,
 +    pub time_period: Duration,
 +    pub recurrence_pattern: String,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CapacityRecommendation {
 +    pub recommendation_id: String,
 +    pub recommended_action: RecommendedAction,
 +    pub justification: String,
 +    pub expected_benefit: f64,
 +    pub implementation_cost: f64,
 +    pub risk_assessment: RiskAssessment,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum RecommendedAction {
 +    IncreaseCapacity { amount: f64 },
 +    DecreaseCapacity { amount: f64 },
 +    ChangeConfiguration { new_config: String },
 +    MigrateWorkloads { target_nodes: Vec<String> },
 +    OptimizePlacement,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RiskAssessment {
 +    pub risk_level: RiskLevel,
 +    pub risk_factors: Vec<RiskFactor>,
 +    pub mitigation_strategies: Vec<String>,
 +    pub contingency_plans: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum RiskLevel {
 +    Low,
 +    Medium,
 +    High,
 +    Critical,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RiskFactor {
 +    pub factor_name: String,
 +    pub probability: f64,
 +    pub impact: f64,
 +    pub description: String,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CostProjection {
 +    pub projection_period: Duration,
 +    pub projected_cost: f64,
 +    pub cost_breakdown: HashMap<String, f64>,
 +    pub cost_drivers: Vec<String>,
 +    pub optimization_opportunities: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ResourceAllocation {
 +    pub allocation_strategy: AllocationStrategy,
 +    pub resource_reservations: Vec<ResourceReservation>,
 +    pub allocation_efficiency: f64,
 +    pub utilization_targets: HashMap<String, f64>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum AllocationStrategy {
 +    FirstFit,
 +    BestFit,
 +    WorstFit,
 +    CostOptimized,
 +    PerformanceOptimized,
 +    Balanced,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ResourceReservation {
 +    pub reservation_id: String,
 +    pub reserved_resources: HashMap<String, f64>,
 +    pub reservation_duration: Duration,
 +    pub cost_per_hour: f64,
 +    pub utilization_commitment: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RoutingPolicy {
 +    pub policy_name: String,
 +    pub routing_rules: Vec<RoutingRule>,
 +    pub traffic_shaping: TrafficShaping,
 +    pub cost_controls: CostControls,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RoutingRule {
 +    pub rule_priority: u8,
 +    pub conditions: Vec<RoutingCondition>,
 +    pub actions: Vec<RoutingAction>,
 +    pub cost_impact: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RoutingCondition {
 +    pub condition_type: ConditionType,
 +    pub condition_value: String,
 +    pub operator: ComparisonOperator,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ConditionType {
 +    RequestSize,
 +    ClientLocation,
 +    TimeOfDay,
 +    LoadLevel,
 +    CostBudget,
 +    NodeTier,
 +    ServiceType,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ComparisonOperator {
 +    Equals,
 +    NotEquals,
 +    GreaterThan,
 +    LessThan,
 +    Contains,
 +    InRange,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RoutingAction {
 +    pub action_type: ActionType,
 +    pub target_nodes: Vec<String>,
 +    pub weight_distribution: HashMap<String, f64>,
 +    pub failover_targets: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ActionType {
 +    RouteToTier,
 +    RouteToSpecificNode,
 +    RouteByPerformance,
 +    RouteByCost,
 +    LoadBalance,
 +    Reject,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct TrafficShaping {
 +    pub rate_limiting: RateLimiting,
 +    pub priority_queues: Vec<PriorityQueue>,
 +    pub bandwidth_allocation: BandwidthAllocation,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RateLimiting {
 +    pub requests_per_second: f64,
 +    pub burst_size: u32,
 +    pub cost_per_excess_request: f64,
 +    pub throttling_strategy: ThrottlingStrategy,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ThrottlingStrategy {
 +    DropExcess,
 +    QueueWithDelay,
 +    RedirectToLowerTier,
 +    DynamicPricing,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PriorityQueue {
 +    pub queue_name: String,
 +    pub priority_level: u8,
 +    pub bandwidth_share: f64,
 +    pub cost_multiplier: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BandwidthAllocation {
 +    pub total_bandwidth: f64,
 +    pub guaranteed_bandwidth: HashMap<String, f64>,
 +    pub burstable_bandwidth: HashMap<String, f64>,
 +    pub cost_per_mbps: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CostControls {
 +    pub cost_limits: CostLimits,
 +    pub cost_monitoring: CostMonitoring,
 +    pub cost_optimization: CostOptimizationSettings,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CostLimits {
 +    pub daily_limit: f64,
 +    pub monthly_limit: f64,
 +    pub per_request_limit: f64,
 +    pub overage_handling: OverageHandling,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum OverageHandling {
 +    Block,
 +    Alert,
 +    Throttle,
 +    UpgradeTier,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CostMonitoring {
 +    pub monitoring_frequency: Duration,
 +    pub cost_alerts: Vec<CostAlert>,
 +    pub cost_reporting: CostReporting,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CostAlert {
 +    pub alert_name: String,
 +    pub threshold_percentage: f64,
 +    pub notification_channels: Vec<String>,
 +    pub escalation_policy: String,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CostReporting {
 +    pub report_frequency: Duration,
 +    pub report_recipients: Vec<String>,
 +    pub cost_breakdown_detail: DetailLevel,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum DetailLevel {
 +    Summary,
 +    Detailed,
 +    Granular,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CostOptimizationSettings {
 +    pub auto_optimization: bool,
 +    pub optimization_frequency: Duration,
 +    pub optimization_targets: Vec<OptimizationTarget>,
 +    pub optimization_constraints: Vec<OptimizationConstraint>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct OptimizationTarget {
 +    pub target_name: String,
 +    pub target_metric: String,
 +    pub target_value: f64,
 +    pub weight: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct OptimizationConstraint {
 +    pub constraint_name: String,
 +    pub constraint_expression: String,
 +    pub constraint_type: ConstraintType,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct EconomicMetrics {
 +    pub cost_efficiency: f64,
 +    pub revenue_per_request: f64,
 +    pub profit_margin: f64,
 +    pub cost_per_performance_unit: f64,
 +    pub return_on_investment: f64,
 +    pub economic_value_added: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ResourceWeight {
 +    pub node_id: String,
 +    pub performance_weight: f64,
 +    pub cost_weight: f64,
 +    pub reliability_weight: f64,
 +    pub composite_score: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CostOptimizedRouting {
 +    pub routing_algorithm: RoutingAlgorithm,
 +    pub cost_matrix: HashMap<String, HashMap<String, f64>>,
 +    pub performance_requirements: PerformanceRequirements,
 +    pub optimization_results: OptimizationResults,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum RoutingAlgorithm {
 +    Dijkstra,
 +    AStar,
 +    FloydWarshall,
 +    BellmanFord,
 +    Custom(String),
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PerformanceRequirements {
 +    pub max_latency: Duration,
 +    pub min_throughput: f64,
 +    pub max_error_rate: f64,
 +    pub availability_requirement: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct OptimizationResults {
 +    pub optimal_routes: Vec<OptimalRoute>,
 +    pub total_cost: f64,
 +    pub cost_savings: f64,
 +    pub performance_impact: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct OptimalRoute {
 +    pub source: String,
 +    pub destination: String,
 +    pub path: Vec<String>,
 +    pub total_cost: f64,
 +    pub expected_performance: PerformanceMetrics,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PerformanceMetrics {
 +    pub latency: Duration,
 +    pub throughput: f64,
 +    pub reliability: f64,
 +    pub cost_efficiency: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PerformancePricing {
 +    pub pricing_tiers: Vec<PerformanceTier>,
 +    pub dynamic_pricing: DynamicPricing,
 +    pub performance_guarantees: Vec<PerformanceGuarantee>,
 +    pub penalty_structure: PenaltyStructure,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PerformanceTier {
 +    pub tier_name: String,
 +    pub performance_level: f64,
 +    pub base_price: f64,
 +    pub performance_multiplier: f64,
 +    pub included_features: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct DynamicPricing {
 +    pub enabled: bool,
 +    pub pricing_factors: Vec<PricingFactor>,
 +    pub adjustment_frequency: Duration,
 +    pub price_bounds: PriceBounds,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PricingFactor {
 +    pub factor_name: String,
 +    pub current_value: f64,
 +    pub weight: f64,
 +    pub impact_on_price: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PriceBounds {
 +    pub minimum_price: f64,
 +    pub maximum_price: f64,
 +    pub maximum_change_per_period: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PenaltyStructure {
 +    pub sla_violations: Vec<SLAViolationPenalty>,
 +    pub performance_penalties: Vec<PerformancePenalty>,
 +    pub availability_penalties: Vec<AvailabilityPenalty>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct SLAViolationPenalty {
 +    pub violation_type: String,
 +    pub penalty_amount: f64,
 +    pub penalty_calculation: PenaltyCalculation,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PerformancePenalty {
 +    pub metric_name: String,
 +    pub threshold: f64,
 +    pub penalty_per_unit: f64,
 +    pub maximum_penalty: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AvailabilityPenalty {
 +    pub availability_threshold: f64,
 +    pub penalty_percentage: f64,
 +    pub grace_period: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PenaltyCalculation {
 +    pub calculation_method: CalculationMethod,
 +    pub base_amount: f64,
 +    pub escalation_factor: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum CalculationMethod {
 +    Fixed,
 +    Proportional,
 +    Progressive,
 +    Exponential,
 +}
++
 +impl EconomicLoadBalancer {
 +    pub fn new(balancer_id: String, strategy: LoadBalancingStrategy) -> Self {
 +        Self {
 +            balancer_id,
 +            strategy,
 +            cost_optimizer: CostOptimizer::new(),
 +            performance_tracker: PerformanceTracker::new(),
 +            node_pool: NodePool::new(),
 +            routing_policies: Vec::new(),
 +            economic_metrics: EconomicMetrics::default(),
 +        }
 +    }
++
 +    pub async fn route_request(&self, request: &Request) -> Result<String, Box<dyn std::error::Error>> {
 +        let candidate_nodes = self.get_candidate_nodes(request).await?;
 +        let optimal_node = self.select_optimal_node(&candidate_nodes, request).await?;
++
 +        Ok(optimal_node)
 +    }
++
 +    pub async fn optimize_routing(&mut self) -> Result<(), Box<dyn std::error::Error>> {
 +        let optimization_result = self.cost_optimizer.optimize_placement(&self.node_pool).await?;
 +        self.apply_optimization_results(optimization_result).await?;
++
 +        Ok(())
 +    }
++
 +    async fn get_candidate_nodes(&self, request: &Request) -> Result<Vec<String>, Box<dyn std::error::Error>> {
 +        let mut candidates = Vec::new();
++
 +        for (node_id, node) in &self.node_pool.nodes {
 +            if self.meets_requirements(node, request) {
 +                candidates.push(node_id.clone());
 +            }
 +        }
++
 +        Ok(candidates)
 +    }
++
 +    async fn select_optimal_node(&self, candidates: &[String], request: &Request) -> Result<String, Box<dyn std::error::Error>> {
 +        let mut best_node = None;
 +        let mut best_score = f64::NEG_INFINITY;
++
 +        for node_id in candidates {
 +            if let Some(node) = self.node_pool.nodes.get(node_id) {
 +                let score = self.calculate_node_score(node, request).await?;
 +                if score > best_score {
 +                    best_score = score;
 +                    best_node = Some(node_id.clone());
 +                }
 +            }
 +        }
++
 +        best_node.ok_or_else(|| "No suitable node found".into())
 +    }
++
 +    async fn calculate_node_score(&self, node: &LoadBalancerNode, request: &Request) -> Result<f64, Box<dyn std::error::Error>> {
 +        let cost_score = self.calculate_cost_score(node, request);
 +        let performance_score = self.calculate_performance_score(node, request);
 +        let availability_score = node.availability.current_availability;
++
 +        let composite_score = match self.strategy {
 +            LoadBalancingStrategy::CostOptimized => cost_score * 0.7 + performance_score * 0.2 + availability_score * 0.1,
 +            LoadBalancingStrategy::PerformanceFirst => performance_score * 0.7 + availability_score * 0.2 + cost_score * 0.1,
 +            LoadBalancingStrategy::Balanced => cost_score * 0.4 + performance_score * 0.4 + availability_score * 0.2,
 +            LoadBalancingStrategy::LatencyOptimized => {
 +                let latency_score = 1.0 / (node.performance_profile.average_response_time.as_millis() as f64 + 1.0);
 +                latency_score * 0.6 + performance_score * 0.3 + cost_score * 0.1
 +            },
 +            _ => cost_score * 0.33 + performance_score * 0.33 + availability_score * 0.33,
 +        };
++
 +        Ok(composite_score)
 +    }
++
 +    fn calculate_cost_score(&self, node: &LoadBalancerNode, _request: &Request) -> f64 {
 +        // Higher cost = lower score
 +        let max_cost = 1.0; // Normalize to maximum expected cost
 +        let normalized_cost = node.pricing.cost_per_request / max_cost;
 +        1.0 - normalized_cost.min(1.0)
 +    }
++
 +    fn calculate_performance_score(&self, node: &LoadBalancerNode, _request: &Request) -> f64 {
 +        node.performance_profile.reliability_score
 +    }
++
 +    fn meets_requirements(&self, node: &LoadBalancerNode, request: &Request) -> bool {
 +        matches!(node.health_status, HealthStatus::Healthy) &&
 +        node.capacity.max_requests_per_second >= request.expected_load
 +    }
++
 +    async fn apply_optimization_results(&mut self, _results: OptimizationResults) -> Result<(), Box<dyn std::error::Error>> {
 +        // Apply the optimization results to routing policies
 +        Ok(())
 +    }
 +}
++
 +// Helper structures
 +#[derive(Debug, Clone)]
 +pub struct Request {
 +    pub request_id: String,
 +    pub expected_load: f64,
 +    pub latency_requirement: Duration,
 +    pub cost_sensitivity: f64,
 +}
++
 +impl CostOptimizer {
 +    fn new() -> Self {
 +        Self {
 +            optimization_algorithm: OptimizationAlgorithm::GreedyOptimization,
 +            cost_models: HashMap::new(),
 +            budget_constraints: BudgetConstraints::default(),
 +            cost_thresholds: CostThresholds::default(),
 +        }
 +    }
++
 +    async fn optimize_placement(&self, _node_pool: &NodePool) -> Result<OptimizationResults, Box<dyn std::error::Error>> {
 +        // Placeholder implementation
 +        Ok(OptimizationResults {
 +            optimal_routes: Vec::new(),
 +            total_cost: 0.0,
 +            cost_savings: 0.0,
 +            performance_impact: 0.0,
 +        })
 +    }
 +}
++
 +impl PerformanceTracker {
 +    fn new() -> Self {
 +        Self {
 +            metrics: HashMap::new(),
 +            sla_targets: HashMap::new(),
 +            performance_history: Vec::new(),
 +        }
 +    }
 +}
++
 +impl NodePool {
 +    fn new() -> Self {
 +        Self {
 +            nodes: HashMap::new(),
 +            node_tiers: HashMap::new(),
 +            capacity_management: CapacityManagement::default(),
 +        }
 +    }
 +}
++
 +// Default implementations
 +impl Default for BudgetConstraints {
 +    fn default() -> Self {
 +        Self {
 +            total_budget: 10000.0,
 +            budget_periods: Vec::new(),
 +            cost_allocation: HashMap::new(),
 +            overage_policy: OveragePolicy::Alert,
 +        }
 +    }
 +}
++
 +impl Default for CostThresholds {
 +    fn default() -> Self {
 +        Self {
 +            warning_threshold: 0.8,
 +            critical_threshold: 0.95,
 +            optimization_trigger: 0.2,
 +            emergency_threshold: 1.1,
 +        }
 +    }
 +}
++
 +impl Default for CapacityManagement {
 +    fn default() -> Self {
 +        Self {
 +            auto_scaling: AutoScalingConfig {
 +                enabled: true,
 +                scaling_policies: Vec::new(),
 +                cooldown_periods: CooldownPeriods {
 +                    scale_up_cooldown: Duration::from_secs(300),
 +                    scale_down_cooldown: Duration::from_secs(600),
 +                    policy_change_cooldown: Duration::from_secs(900),
 +                },
 +                scaling_limits: ScalingLimits {
 +                    min_nodes: 1,
 +                    max_nodes: 100,
 +                    max_scaling_rate: 5.0,
 +                    max_cost_per_hour: 1000.0,
 +                },
 +            },
 +            capacity_planning: CapacityPlanning {
 +                planning_horizon: Duration::from_secs(30 * 24 * 3600), // 30 days
 +                demand_forecasts: Vec::new(),
 +                capacity_recommendations: Vec::new(),
 +                cost_projections: Vec::new(),
 +            },
 +            resource_allocation: ResourceAllocation {
 +                allocation_strategy: AllocationStrategy::Balanced,
 +                resource_reservations: Vec::new(),
 +                allocation_efficiency: 0.85,
 +                utilization_targets: HashMap::new(),
 +            },
 +        }
 +    }
 +}
++
 +impl Default for EconomicMetrics {
 +    fn default() -> Self {
 +        Self {
 +            cost_efficiency: 0.0,
 +            revenue_per_request: 0.0,
 +            profit_margin: 0.0,
 +            cost_per_performance_unit: 0.0,
 +            return_on_investment: 0.0,
 +            economic_value_added: 0.0,
 +        }
 +    }
 +}

src/market/mod.rsadded

 +//! Market Dynamics Module
 +//!
 +//! Economic system for fair pricing and efficient resource allocation
++
 +pub mod dynamic_pricing;
 +pub mod quality_service;
 +pub mod regional_optimizer;
 +pub mod auction_system;
 +pub mod sla_manager;
 +pub mod pricing_oracles;
 +pub mod load_balancer;
 +pub mod bandwidth_market;
++
 +pub use dynamic_pricing::{
 +    DynamicPricingEngine, MarketPrice, PriceHistory,
 +    SupplyDemandMetrics, PricingModel
 +};
 +pub use quality_service::{
 +    QualityOfServiceManager, ServiceTier, ServiceLevel,
 +    QoSMetrics, TierConfiguration
 +};
 +pub use regional_optimizer::{
 +    RegionalPriceOptimizer, RegionalMarket, PriceAdjustment,
 +    MarketConditions, GeographicPricing
 +};
 +pub use auction_system::{
 +    ResourceAuctionSystem, StorageAuction, BandwidthAuction,
 +    AuctionResult, BidSubmission
 +};
 +pub use sla_manager::{
 +    SLAManager, ServiceLevelAgreement, SLAMetrics,
 +    ComplianceStatus, SLAViolation
 +};
 +pub use pricing_oracles::{
 +    PricingOracleNetwork, PriceOracle, MarketData,
 +    ExternalPriceSource, OracleConsensus
 +};
 +pub use load_balancer::{
 +    EconomicLoadBalancer, LoadBalancingStrategy, ResourceWeight,
 +    CostOptimizedRouting, PerformancePricing
 +};
 +pub use bandwidth_market::{
 +    BandwidthMarketplace, BandwidthContract, TrafficShaping,
 +    QoSPrioritizer, NetworkResourceAllocator
 +};

src/market/pricing_oracles.rsadded

 +//! Smart Contract Pricing Oracles
 +//!
 +//! Decentralized price feeds and market data oracles for fair pricing
++
 +use serde::{Deserialize, Serialize};
 +use std::collections::HashMap;
 +use tokio::time::{Duration, Instant};
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PriceOracle {
 +    pub oracle_id: String,
 +    pub oracle_name: String,
 +    pub oracle_type: OracleType,
 +    pub data_sources: Vec<DataSource>,
 +    pub aggregation_method: AggregationMethod,
 +    pub update_frequency: Duration,
 +    pub reliability_score: f64,
 +    pub last_update: Instant,
 +    pub current_prices: HashMap<String, PriceData>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum OracleType {
 +    Storage,        // Storage pricing oracle
 +    Bandwidth,      // Bandwidth pricing oracle
 +    Compute,        // Compute resource pricing
 +    Composite,      // Multiple resource types
 +    External,       // External market data
 +    Consensus,      // Consensus-based pricing
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct DataSource {
 +    pub source_id: String,
 +    pub source_name: String,
 +    pub source_type: SourceType,
 +    pub endpoint: String,
 +    pub weight: f64,
 +    pub reliability: f64,
 +    pub latency: Duration,
 +    pub cost_per_query: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum SourceType {
 +    CloudProvider,      // AWS, Azure, GCP pricing
 +    ExchangeAPI,        // Cryptocurrency exchanges
 +    MarketData,         // Financial market data
 +    PeerNetwork,        // P2P network pricing
 +    AuctionResults,     // Historical auction data
 +    UserReported,       // Community-reported prices
 +    MLModel,            // ML-predicted prices
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PriceData {
 +    pub resource_type: String,
 +    pub price: f64,
 +    pub currency: String,
 +    pub timestamp: Instant,
 +    pub confidence_score: f64,
 +    pub volume_24h: Option<f64>,
 +    pub price_change_24h: Option<f64>,
 +    pub market_cap: Option<f64>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum AggregationMethod {
 +    WeightedAverage,
 +    Median,
 +    Mode,
 +    VolumeWeighted,
 +    TimeWeighted,
 +    OutlierFiltered,
 +    Consensus,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct MarketData {
 +    pub symbol: String,
 +    pub price: f64,
 +    pub volume: f64,
 +    pub market_cap: f64,
 +    pub price_change_24h: f64,
 +    pub price_change_7d: f64,
 +    pub volatility: f64,
 +    pub liquidity_score: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ExternalPriceSource {
 +    pub provider_name: String,
 +    pub api_endpoint: String,
 +    pub api_key: Option<String>,
 +    pub rate_limit: RateLimit,
 +    pub data_format: DataFormat,
 +    pub supported_assets: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RateLimit {
 +    pub requests_per_minute: u32,
 +    pub requests_per_hour: u32,
 +    pub requests_per_day: u32,
 +    pub burst_limit: u32,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum DataFormat {
 +    JSON,
 +    XML,
 +    CSV,
 +    Custom(String),
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct OracleConsensus {
 +    pub consensus_method: ConsensusMethod,
 +    pub minimum_oracles: u32,
 +    pub consensus_threshold: f64,
 +    pub dispute_resolution: DisputeResolution,
 +    pub incentive_mechanism: IncentiveMechanism,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ConsensusMethod {
 +    SimpleAverage,
 +    WeightedAverage,
 +    MedianVoting,
 +    Staking,
 +    ReputationBased,
 +    ByzantineFaultTolerant,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum DisputeResolution {
 +    Voting,
 +    Arbitration,
 +    Slashing,
 +    Reputation,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct IncentiveMechanism {
 +    pub reward_accurate: f64,
 +    pub penalty_inaccurate: f64,
 +    pub stake_requirement: f64,
 +    pub reward_distribution: RewardDistribution,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum RewardDistribution {
 +    Equal,
 +    AccuracyBased,
 +    StakeBased,
 +    Hybrid,
 +}
++
 +pub struct PricingOracleNetwork {
 +    oracles: HashMap<String, PriceOracle>,
 +    consensus_engine: ConsensusEngine,
 +    validation_system: ValidationSystem,
 +    price_feeds: HashMap<String, PriceFeed>,
 +    external_sources: Vec<ExternalPriceSource>,
 +}
++
 +struct ConsensusEngine {
 +    consensus_algorithms: HashMap<String, ConsensusAlgorithm>,
 +    oracle_weights: HashMap<String, f64>,
 +    historical_accuracy: HashMap<String, f64>,
 +    dispute_manager: DisputeManager,
 +}
++
 +#[derive(Debug, Clone)]
 +struct ConsensusAlgorithm {
 +    algorithm_name: String,
 +    minimum_participants: u32,
 +    consensus_threshold: f64,
 +    timeout_duration: Duration,
 +}
++
 +struct DisputeManager {
 +    active_disputes: HashMap<String, PriceDispute>,
 +    resolution_history: Vec<DisputeResolution>,
 +    arbitrators: Vec<String>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct PriceDispute {
 +    dispute_id: String,
 +    disputed_price: f64,
 +    disputing_oracles: Vec<String>,
 +    evidence: Vec<String>,
 +    resolution_deadline: Instant,
 +}
++
 +struct ValidationSystem {
 +    validation_rules: Vec<ValidationRule>,
 +    anomaly_detector: AnomalyDetector,
 +    quality_assessor: QualityAssessor,
 +}
++
 +#[derive(Debug, Clone)]
 +struct ValidationRule {
 +    rule_name: String,
 +    condition: String,
 +    action: ValidationAction,
 +    severity: ValidationSeverity,
 +}
++
 +#[derive(Debug, Clone)]
 +enum ValidationAction {
 +    Accept,
 +    Reject,
 +    Flag,
 +    Investigate,
 +}
++
 +#[derive(Debug, Clone)]
 +enum ValidationSeverity {
 +    Low,
 +    Medium,
 +    High,
 +    Critical,
 +}
++
 +struct AnomalyDetector {
 +    detection_models: Vec<AnomalyModel>,
 +    threshold_settings: ThresholdSettings,
 +    alert_system: AlertSystem,
 +}
++
 +#[derive(Debug, Clone)]
 +struct AnomalyModel {
 +    model_type: ModelType,
 +    sensitivity: f64,
 +    training_data_window: Duration,
 +    accuracy_score: f64,
 +}
++
 +#[derive(Debug, Clone)]
 +enum ModelType {
 +    Statistical,
 +    MachineLearning,
 +    RuleBased,
 +    Hybrid,
 +}
++
 +#[derive(Debug, Clone)]
 +struct ThresholdSettings {
 +    price_deviation_threshold: f64,
 +    volume_spike_threshold: f64,
 +    volatility_threshold: f64,
 +    correlation_threshold: f64,
 +}
++
 +struct AlertSystem {
 +    alert_channels: Vec<String>,
 +    escalation_policy: String,
 +    notification_templates: HashMap<String, String>,
 +}
++
 +struct QualityAssessor {
 +    quality_metrics: Vec<QualityMetric>,
 +    scoring_algorithm: ScoringAlgorithm,
 +    quality_thresholds: QualityThresholds,
 +}
++
 +#[derive(Debug, Clone)]
 +struct QualityMetric {
 +    metric_name: String,
 +    weight: f64,
 +    calculation_method: String,
 +    target_value: f64,
 +}
++
 +#[derive(Debug, Clone)]
 +enum ScoringAlgorithm {
 +    WeightedSum,
 +    MinimumThreshold,
 +    Composite,
 +}
++
 +#[derive(Debug, Clone)]
 +struct QualityThresholds {
 +    minimum_quality_score: f64,
 +    warning_threshold: f64,
 +    critical_threshold: f64,
 +}
++
 +#[derive(Debug, Clone)]
 +struct PriceFeed {
 +    feed_id: String,
 +    resource_type: String,
 +    current_price: f64,
 +    price_history: Vec<PricePoint>,
 +    confidence_interval: (f64, f64),
 +    last_update: Instant,
 +    update_frequency: Duration,
 +}
++
 +#[derive(Debug, Clone)]
 +struct PricePoint {
 +    timestamp: Instant,
 +    price: f64,
 +    volume: f64,
 +    source: String,
 +}
++
 +impl PricingOracleNetwork {
 +    pub fn new() -> Self {
 +        Self {
 +            oracles: HashMap::new(),
 +            consensus_engine: ConsensusEngine::new(),
 +            validation_system: ValidationSystem::new(),
 +            price_feeds: HashMap::new(),
 +            external_sources: Vec::new(),
 +        }
 +    }
++
 +    pub async fn add_oracle(&mut self, oracle: PriceOracle) -> Result<(), Box<dyn std::error::Error>> {
 +        let oracle_id = oracle.oracle_id.clone();
++
 +        // Validate oracle configuration
 +        self.validate_oracle(&oracle)?;
++
 +        // Initialize consensus weight
 +        self.consensus_engine.oracle_weights.insert(oracle_id.clone(), 1.0);
++
 +        // Add to active oracles
 +        self.oracles.insert(oracle_id, oracle);
++
 +        Ok(())
 +    }
++
 +    pub async fn get_consensus_price(&self, resource_type: &str) -> Result<PriceData, Box<dyn std::error::Error>> {
 +        let relevant_oracles: Vec<_> = self.oracles.values()
 +            .filter(|oracle| oracle.current_prices.contains_key(resource_type))
 +            .collect();
++
 +        if relevant_oracles.len() < 3 {
 +            return Err("Insufficient oracles for consensus".into());
 +        }
++
 +        let prices: Vec<_> = relevant_oracles.iter()
 +            .filter_map(|oracle| oracle.current_prices.get(resource_type))
 +            .collect();
++
 +        let consensus_price = self.calculate_consensus_price(&prices).await?;
++
 +        Ok(PriceData {
 +            resource_type: resource_type.to_string(),
 +            price: consensus_price,
 +            currency: "ZEPH".to_string(),
 +            timestamp: Instant::now(),
 +            confidence_score: self.calculate_confidence_score(&prices),
 +            volume_24h: None,
 +            price_change_24h: None,
 +            market_cap: None,
 +        })
 +    }
++
 +    pub async fn update_price_feeds(&mut self) -> Result<(), Box<dyn std::error::Error>> {
 +        for oracle in self.oracles.values_mut() {
 +            if oracle.last_update.elapsed() >= oracle.update_frequency {
 +                self.update_oracle_prices(oracle).await?;
 +            }
 +        }
++
 +        // Update consensus prices
 +        self.update_consensus_feeds().await?;
++
 +        Ok(())
 +    }
++
 +    pub async fn validate_price_data(&self, price_data: &PriceData) -> Result<bool, Box<dyn std::error::Error>> {
 +        self.validation_system.validate_price(price_data).await
 +    }
++
 +    async fn validate_oracle(&self, oracle: &PriceOracle) -> Result<(), Box<dyn std::error::Error>> {
 +        // Check if oracle has valid data sources
 +        if oracle.data_sources.is_empty() {
 +            return Err("Oracle must have at least one data source".into());
 +        }
++
 +        // Validate aggregation method
 +        match oracle.aggregation_method {
 +            AggregationMethod::WeightedAverage => {
 +                let total_weight: f64 = oracle.data_sources.iter().map(|s| s.weight).sum();
 +                if (total_weight - 1.0).abs() > 0.01 {
 +                    return Err("Weighted average requires weights to sum to 1.0".into());
 +                }
 +            },
 +            _ => {}
 +        }
++
 +        Ok(())
 +    }
++
 +    async fn update_oracle_prices(&mut self, oracle: &mut PriceOracle) -> Result<(), Box<dyn std::error::Error>> {
 +        let mut new_prices = HashMap::new();
++
 +        for source in &oracle.data_sources {
 +            if let Ok(price_data) = self.fetch_from_source(source).await {
 +                for (resource_type, price) in price_data {
 +                    new_prices.insert(resource_type, price);
 +                }
 +            }
 +        }
++
 +        // Aggregate prices using specified method
 +        oracle.current_prices = self.aggregate_prices(new_prices, &oracle.aggregation_method);
 +        oracle.last_update = Instant::now();
++
 +        Ok(())
 +    }
++
 +    async fn fetch_from_source(&self, source: &DataSource) -> Result<HashMap<String, PriceData>, Box<dyn std::error::Error>> {
 +        match source.source_type {
 +            SourceType::CloudProvider => self.fetch_cloud_pricing(&source.endpoint).await,
 +            SourceType::ExchangeAPI => self.fetch_exchange_data(&source.endpoint).await,
 +            SourceType::MarketData => self.fetch_market_data(&source.endpoint).await,
 +            SourceType::PeerNetwork => self.fetch_peer_pricing(&source.endpoint).await,
 +            SourceType::AuctionResults => self.fetch_auction_results(&source.endpoint).await,
 +            SourceType::UserReported => self.fetch_user_reports(&source.endpoint).await,
 +            SourceType::MLModel => self.fetch_ml_predictions(&source.endpoint).await,
 +        }
 +    }
++
 +    async fn fetch_cloud_pricing(&self, _endpoint: &str) -> Result<HashMap<String, PriceData>, Box<dyn std::error::Error>> {
 +        // Placeholder implementation
 +        let mut prices = HashMap::new();
 +        prices.insert("storage".to_string(), PriceData {
 +            resource_type: "storage".to_string(),
 +            price: 0.023, // $0.023 per GB per month (AWS S3 standard)
 +            currency: "USD".to_string(),
 +            timestamp: Instant::now(),
 +            confidence_score: 0.95,
 +            volume_24h: None,
 +            price_change_24h: Some(-0.02),
 +            market_cap: None,
 +        });
 +        Ok(prices)
 +    }
++
 +    async fn fetch_exchange_data(&self, _endpoint: &str) -> Result<HashMap<String, PriceData>, Box<dyn std::error::Error>> {
 +        // Placeholder implementation for crypto exchange data
 +        let mut prices = HashMap::new();
 +        prices.insert("bandwidth".to_string(), PriceData {
 +            resource_type: "bandwidth".to_string(),
 +            price: 0.08, // Per GB transferred
 +            currency: "USD".to_string(),
 +            timestamp: Instant::now(),
 +            confidence_score: 0.88,
 +            volume_24h: Some(1234567.0),
 +            price_change_24h: Some(0.05),
 +            market_cap: None,
 +        });
 +        Ok(prices)
 +    }
++
 +    async fn fetch_market_data(&self, _endpoint: &str) -> Result<HashMap<String, PriceData>, Box<dyn std::error::Error>> {
 +        // Placeholder for general market data
 +        Ok(HashMap::new())
 +    }
++
 +    async fn fetch_peer_pricing(&self, _endpoint: &str) -> Result<HashMap<String, PriceData>, Box<dyn std::error::Error>> {
 +        // Placeholder for P2P network pricing
 +        Ok(HashMap::new())
 +    }
++
 +    async fn fetch_auction_results(&self, _endpoint: &str) -> Result<HashMap<String, PriceData>, Box<dyn std::error::Error>> {
 +        // Placeholder for auction result data
 +        Ok(HashMap::new())
 +    }
++
 +    async fn fetch_user_reports(&self, _endpoint: &str) -> Result<HashMap<String, PriceData>, Box<dyn std::error::Error>> {
 +        // Placeholder for user-reported prices
 +        Ok(HashMap::new())
 +    }
++
 +    async fn fetch_ml_predictions(&self, _endpoint: &str) -> Result<HashMap<String, PriceData>, Box<dyn std::error::Error>> {
 +        // Placeholder for ML model predictions
 +        Ok(HashMap::new())
 +    }
++
 +    fn aggregate_prices(&self, prices: HashMap<String, PriceData>, method: &AggregationMethod) -> HashMap<String, PriceData> {
 +        match method {
 +            AggregationMethod::WeightedAverage => self.weighted_average_aggregation(prices),
 +            AggregationMethod::Median => self.median_aggregation(prices),
 +            AggregationMethod::Mode => self.mode_aggregation(prices),
 +            AggregationMethod::VolumeWeighted => self.volume_weighted_aggregation(prices),
 +            AggregationMethod::TimeWeighted => self.time_weighted_aggregation(prices),
 +            AggregationMethod::OutlierFiltered => self.outlier_filtered_aggregation(prices),
 +            AggregationMethod::Consensus => self.consensus_aggregation(prices),
 +        }
 +    }
++
 +    fn weighted_average_aggregation(&self, prices: HashMap<String, PriceData>) -> HashMap<String, PriceData> {
 +        // Placeholder implementation
 +        prices
 +    }
++
 +    fn median_aggregation(&self, prices: HashMap<String, PriceData>) -> HashMap<String, PriceData> {
 +        // Placeholder implementation
 +        prices
 +    }
++
 +    fn mode_aggregation(&self, prices: HashMap<String, PriceData>) -> HashMap<String, PriceData> {
 +        // Placeholder implementation
 +        prices
 +    }
++
 +    fn volume_weighted_aggregation(&self, prices: HashMap<String, PriceData>) -> HashMap<String, PriceData> {
 +        // Placeholder implementation
 +        prices
 +    }
++
 +    fn time_weighted_aggregation(&self, prices: HashMap<String, PriceData>) -> HashMap<String, PriceData> {
 +        // Placeholder implementation
 +        prices
 +    }
++
 +    fn outlier_filtered_aggregation(&self, prices: HashMap<String, PriceData>) -> HashMap<String, PriceData> {
 +        // Placeholder implementation
 +        prices
 +    }
++
 +    fn consensus_aggregation(&self, prices: HashMap<String, PriceData>) -> HashMap<String, PriceData> {
 +        // Placeholder implementation
 +        prices
 +    }
++
 +    async fn calculate_consensus_price(&self, prices: &[&PriceData]) -> Result<f64, Box<dyn std::error::Error>> {
 +        if prices.is_empty() {
 +            return Err("No prices provided for consensus".into());
 +        }
++
 +        // Simple median consensus for now
 +        let mut price_values: Vec<f64> = prices.iter().map(|p| p.price).collect();
 +        price_values.sort_by(|a, b| a.partial_cmp(b).unwrap());
++
 +        let len = price_values.len();
 +        let consensus_price = if len % 2 == 0 {
 +            (price_values[len / 2 - 1] + price_values[len / 2]) / 2.0
 +        } else {
 +            price_values[len / 2]
 +        };
++
 +        Ok(consensus_price)
 +    }
++
 +    fn calculate_confidence_score(&self, prices: &[&PriceData]) -> f64 {
 +        if prices.len() < 2 {
 +            return 0.5;
 +        }
++
 +        // Calculate price variance as inverse confidence
 +        let mean_price = prices.iter().map(|p| p.price).sum::<f64>() / prices.len() as f64;
 +        let variance = prices.iter()
 +            .map(|p| (p.price - mean_price).powi(2))
 +            .sum::<f64>() / prices.len() as f64;
++
 +        let std_dev = variance.sqrt();
 +        let coefficient_of_variation = std_dev / mean_price;
++
 +        // Lower variance = higher confidence
 +        (1.0 - coefficient_of_variation.min(1.0)).max(0.0)
 +    }
++
 +    async fn update_consensus_feeds(&mut self) -> Result<(), Box<dyn std::error::Error>> {
 +        let resource_types = ["storage", "bandwidth", "compute"];
++
 +        for resource_type in &resource_types {
 +            if let Ok(consensus_price) = self.get_consensus_price(resource_type).await {
 +                let feed = PriceFeed {
 +                    feed_id: format!("consensus_{}", resource_type),
 +                    resource_type: resource_type.to_string(),
 +                    current_price: consensus_price.price,
 +                    price_history: Vec::new(), // Would maintain history in real implementation
 +                    confidence_interval: (consensus_price.price * 0.95, consensus_price.price * 1.05),
 +                    last_update: consensus_price.timestamp,
 +                    update_frequency: Duration::from_secs(300), // 5 minutes
 +                };
++
 +                self.price_feeds.insert(resource_type.to_string(), feed);
 +            }
 +        }
++
 +        Ok(())
 +    }
 +}
++
 +impl ConsensusEngine {
 +    fn new() -> Self {
 +        Self {
 +            consensus_algorithms: HashMap::new(),
 +            oracle_weights: HashMap::new(),
 +            historical_accuracy: HashMap::new(),
 +            dispute_manager: DisputeManager {
 +                active_disputes: HashMap::new(),
 +                resolution_history: Vec::new(),
 +                arbitrators: Vec::new(),
 +            },
 +        }
 +    }
 +}
++
 +impl ValidationSystem {
 +    fn new() -> Self {
 +        Self {
 +            validation_rules: Vec::new(),
 +            anomaly_detector: AnomalyDetector {
 +                detection_models: Vec::new(),
 +                threshold_settings: ThresholdSettings {
 +                    price_deviation_threshold: 0.15, // 15% deviation
 +                    volume_spike_threshold: 2.0,     // 2x volume spike
 +                    volatility_threshold: 0.5,       // 50% volatility
 +                    correlation_threshold: 0.8,      // 80% correlation
 +                },
 +                alert_system: AlertSystem {
 +                    alert_channels: Vec::new(),
 +                    escalation_policy: "standard".to_string(),
 +                    notification_templates: HashMap::new(),
 +                },
 +            },
 +            quality_assessor: QualityAssessor {
 +                quality_metrics: Vec::new(),
 +                scoring_algorithm: ScoringAlgorithm::WeightedSum,
 +                quality_thresholds: QualityThresholds {
 +                    minimum_quality_score: 0.7,
 +                    warning_threshold: 0.8,
 +                    critical_threshold: 0.6,
 +                },
 +            },
 +        }
 +    }
++
 +    async fn validate_price(&self, price_data: &PriceData) -> Result<bool, Box<dyn std::error::Error>> {
 +        // Basic validation rules
 +        if price_data.price <= 0.0 {
 +            return Ok(false);
 +        }
++
 +        if price_data.confidence_score < 0.5 {
 +            return Ok(false);
 +        }
++
 +        // Check for anomalies
 +        let is_anomaly = self.anomaly_detector.detect_anomaly(price_data).await?;
 +        if is_anomaly {
 +            return Ok(false);
 +        }
++
 +        Ok(true)
 +    }
 +}
++
 +impl AnomalyDetector {
 +    async fn detect_anomaly(&self, _price_data: &PriceData) -> Result<bool, Box<dyn std::error::Error>> {
 +        // Placeholder implementation
 +        // In practice, this would use statistical analysis or ML models
 +        // to detect price anomalies based on historical patterns
 +        Ok(false)
 +    }
 +}

src/market/quality_service.rsadded

1112 lines changed — click to load

 +//! Quality of Service Management
 +//!
 +//! Service tiers with SLA guarantees and performance monitoring
++
 +use serde::{Deserialize, Serialize};
 +use std::collections::HashMap;
 +use tokio::time::{Duration, Instant};
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ServiceTier {
 +    pub tier_id: String,
 +    pub name: String,
 +    pub description: String,
 +    pub price_multiplier: f64,
 +    pub sla_guarantees: SLAGuarantees,
 +    pub performance_targets: PerformanceTargets,
 +    pub features: Vec<TierFeature>,
 +    pub limitations: Vec<TierLimitation>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct SLAGuarantees {
 +    pub uptime_percentage: f64,           // 99.9% uptime
 +    pub max_response_time: Duration,      // Response time guarantee
 +    pub data_durability: f64,             // 99.999% durability
 +    pub recovery_time_objective: Duration, // Maximum downtime
 +    pub recovery_point_objective: Duration, // Maximum data loss window
 +    pub availability_zones: u8,           // Geographic distribution
 +    pub support_response_time: Duration,  // Support ticket response
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PerformanceTargets {
 +    pub min_throughput_mbps: f64,
 +    pub max_latency_p50: Duration,
 +    pub max_latency_p95: Duration,
 +    pub max_latency_p99: Duration,
 +    pub min_iops: u32,
 +    pub max_jitter: Duration,
 +    pub bandwidth_guarantee: f64,
 +    pub concurrent_connection_limit: u32,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum TierFeature {
 +    PrioritySupport,
 +    DedicatedResources,
 +    AdvancedMonitoring,
 +    CustomRetention,
 +    GeographicReplication,
 +    EncryptionAtRest,
 +    EncryptionInTransit,
 +    ComplianceCertification,
 +    BackupAutomation,
 +    DisasterRecovery,
 +    LoadBalancing,
 +    ContentDeliveryNetwork,
 +    APIRateLimiting,
 +    WebhookNotifications,
 +    DetailedAnalytics,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum TierLimitation {
 +    MaxStoragePerFile(u64),
 +    MaxBandwidthPerHour(u64),
 +    MaxRequestsPerMinute(u32),
 +    MaxConcurrentConnections(u32),
 +    LimitedSupport(String),
 +    NoSLA,
 +    SharedResources,
 +    BasicMonitoring,
 +    StandardRetention(Duration),
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ServiceLevel {
 +    pub user_id: String,
 +    pub tier: ServiceTier,
 +    pub subscription_start: Instant,
 +    pub subscription_end: Option<Instant>,
 +    pub current_usage: UsageMetrics,
 +    pub performance_history: Vec<PerformanceSnapshot>,
 +    pub sla_compliance: SLAComplianceStatus,
 +    pub billing_status: BillingStatus,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct UsageMetrics {
 +    pub storage_gb_hours: f64,
 +    pub bandwidth_mb: f64,
 +    pub requests_count: u64,
 +    pub cpu_core_hours: f64,
 +    pub data_transfer_gb: f64,
 +    pub api_calls: u64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PerformanceSnapshot {
 +    pub timestamp: Instant,
 +    pub response_time: Duration,
 +    pub throughput_mbps: f64,
 +    pub availability: f64,
 +    pub error_rate: f64,
 +    pub resource_utilization: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct SLAComplianceStatus {
 +    pub overall_compliance: f64,
 +    pub uptime_compliance: f64,
 +    pub performance_compliance: f64,
 +    pub violations: Vec<SLAViolation>,
 +    pub credits_earned: f64, // Service credits for violations
 +    pub next_review: Instant,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct SLAViolation {
 +    pub violation_id: String,
 +    pub violation_type: ViolationType,
 +    pub start_time: Instant,
 +    pub duration: Duration,
 +    pub impact_level: ImpactLevel,
 +    pub affected_users: u32,
 +    pub credit_amount: f64,
 +    pub resolution: Option<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ViolationType {
 +    UptimeViolation,
 +    PerformanceViolation,
 +    DataLoss,
 +    SecurityBreach,
 +    SupportViolation,
 +    FeatureUnavailability,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ImpactLevel {
 +    Critical,    // Service completely unavailable
 +    High,        // Significant performance degradation
 +    Medium,      // Moderate performance impact
 +    Low,         // Minor performance impact
 +    Negligible,  // Barely noticeable impact
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BillingStatus {
 +    pub current_tier_cost: f64,
 +    pub usage_based_cost: f64,
 +    pub service_credits: f64,
 +    pub outstanding_balance: f64,
 +    pub payment_method: PaymentMethod,
 +    pub billing_cycle: BillingCycle,
 +    pub next_billing_date: Instant,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum PaymentMethod {
 +    CryptocurrencyWallet { address: String, currency: String },
 +    TokenBalance { balance: f64 },
 +    CreditCard { last_four: String },
 +    BankAccount { last_four: String },
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum BillingCycle {
 +    Monthly,
 +    Quarterly,
 +    Annually,
 +    PayPerUse,
 +}
++
 +pub struct QualityOfServiceManager {
 +    service_tiers: HashMap<String, ServiceTier>,
 +    user_service_levels: HashMap<String, ServiceLevel>,
 +    tier_configurations: TierConfiguration,
 +    performance_monitor: PerformanceMonitor,
 +    sla_enforcer: SLAEnforcer,
 +    qos_metrics: QoSMetrics,
 +}
++
 +#[derive(Debug, Clone)]
 +pub struct TierConfiguration {
 +    pub economy_tier: ServiceTier,
 +    pub standard_tier: ServiceTier,
 +    pub premium_tier: ServiceTier,
 +    pub enterprise_tier: ServiceTier,
 +}
++
 +struct PerformanceMonitor {
 +    monitoring_interval: Duration,
 +    performance_thresholds: HashMap<String, PerformanceThreshold>,
 +    active_monitors: HashMap<String, MonitoringSession>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct PerformanceThreshold {
 +    tier_id: String,
 +    max_response_time: Duration,
 +    min_throughput: f64,
 +    max_error_rate: f64,
 +    min_availability: f64,
 +}
++
 +struct MonitoringSession {
 +    user_id: String,
 +    start_time: Instant,
 +    current_metrics: PerformanceSnapshot,
 +    violation_count: u32,
 +    last_violation: Option<Instant>,
 +}
++
 +struct SLAEnforcer {
 +    violation_history: HashMap<String, Vec<SLAViolation>>,
 +    credit_calculator: CreditCalculator,
 +    automated_responses: HashMap<ViolationType, AutomatedResponse>,
 +}
++
 +struct CreditCalculator {
 +    uptime_credit_rate: f64,      // Credits per hour of downtime
 +    performance_credit_rate: f64,  // Credits per violation
 +    data_loss_credit_rate: f64,   // Credits per GB lost
 +}
++
 +#[derive(Debug, Clone)]
 +enum AutomatedResponse {
 +    ScaleUpResources,
 +    FailoverToBackup,
 +    ReduceTrafficLoad,
 +    AlertOperations,
 +    IssueServiceCredit,
 +    UpgradeTier,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct QoSMetrics {
 +    pub total_users_by_tier: HashMap<String, u32>,
 +    pub average_performance_by_tier: HashMap<String, PerformanceSnapshot>,
 +    pub sla_compliance_rates: HashMap<String, f64>,
 +    pub revenue_by_tier: HashMap<String, f64>,
 +    pub churn_rate_by_tier: HashMap<String, f64>,
 +    pub upgrade_conversion_rate: f64,
 +}
++
 +impl QualityOfServiceManager {
 +    pub fn new() -> Self {
 +        Self {
 +            service_tiers: Self::create_default_tiers(),
 +            user_service_levels: HashMap::new(),
 +            tier_configurations: TierConfiguration::default(),
 +            performance_monitor: PerformanceMonitor::new(),
 +            sla_enforcer: SLAEnforcer::new(),
 +            qos_metrics: QoSMetrics::default(),
 +        }
 +    }
++
 +    pub async fn assign_service_tier(&mut self, user_id: &str, tier_id: &str) -> Result<(), Box<dyn std::error::Error>> {
 +        let tier = self.service_tiers.get(tier_id)
 +            .ok_or("Service tier not found")?
 +            .clone();
++
 +        let service_level = ServiceLevel {
 +            user_id: user_id.to_string(),
 +            tier: tier.clone(),
 +            subscription_start: Instant::now(),
 +            subscription_end: None,
 +            current_usage: UsageMetrics::default(),
 +            performance_history: Vec::new(),
 +            sla_compliance: SLAComplianceStatus::default(),
 +            billing_status: BillingStatus::default(),
 +        };
++
 +        self.user_service_levels.insert(user_id.to_string(), service_level);
++
 +        // Start performance monitoring for this user
 +        self.performance_monitor.start_monitoring(user_id, &tier).await?;
++
 +        Ok(())
 +    }
++
 +    pub fn get_user_tier(&self, user_id: &str) -> Option<&ServiceTier> {
 +        self.user_service_levels.get(user_id).map(|sl| &sl.tier)
 +    }
++
 +    pub async fn check_tier_compliance(&mut self, user_id: &str) -> Result<bool, Box<dyn std::error::Error>> {
 +        let service_level = self.user_service_levels.get_mut(user_id)
 +            .ok_or("User not found")?;
++
 +        // Check usage against tier limitations
 +        let compliance = self.evaluate_tier_compliance(service_level).await?;
++
 +        // Update SLA compliance status
 +        service_level.sla_compliance = compliance;
++
 +        Ok(compliance.overall_compliance > 0.95) // 95% compliance threshold
 +    }
++
 +    pub async fn recommend_tier_upgrade(&self, user_id: &str) -> Option<TierUpgradeRecommendation> {
 +        let service_level = self.user_service_levels.get(user_id)?;
++
 +        // Analyze usage patterns
 +        if self.should_recommend_upgrade(service_level) {
 +            let recommended_tier = self.find_optimal_tier_for_usage(&service_level.current_usage)?;
++
 +            Some(TierUpgradeRecommendation {
 +                current_tier: service_level.tier.tier_id.clone(),
 +                recommended_tier: recommended_tier.tier_id.clone(),
 +                reasons: self.get_upgrade_reasons(service_level, &recommended_tier),
 +                cost_impact: self.calculate_cost_impact(service_level, &recommended_tier),
 +                performance_benefits: self.calculate_performance_benefits(&recommended_tier),
 +            })
 +        } else {
 +            None
 +        }
 +    }
++
 +    pub async fn process_performance_metrics(&mut self, user_id: &str, metrics: PerformanceSnapshot) -> Result<(), Box<dyn std::error::Error>> {
 +        if let Some(service_level) = self.user_service_levels.get_mut(user_id) {
 +            service_level.performance_history.push(metrics.clone());
++
 +            // Keep only last 24 hours of performance data
 +            let cutoff = Instant::now() - Duration::from_secs(24 * 3600);
 +            service_level.performance_history.retain(|snapshot| snapshot.timestamp > cutoff);
++
 +            // Check for SLA violations
 +            if let Some(violation) = self.detect_sla_violation(&service_level.tier, &metrics) {
 +                self.sla_enforcer.handle_violation(user_id, violation).await?;
 +            }
 +        }
++
 +        Ok(())
 +    }
++
 +    pub fn get_tier_pricing(&self, tier_id: &str, usage: &UsageMetrics) -> Option<TierPricing> {
 +        let tier = self.service_tiers.get(tier_id)?;
++
 +        let base_cost = tier.price_multiplier * self.calculate_base_cost(usage);
 +        let feature_cost = self.calculate_feature_cost(&tier.features, usage);
 +        let total_cost = base_cost + feature_cost;
++
 +        Some(TierPricing {
 +            tier_id: tier_id.to_string(),
 +            base_cost,
 +            feature_cost,
 +            total_cost,
 +            billing_period: BillingCycle::Monthly,
 +            includes_support: tier.features.contains(&TierFeature::PrioritySupport),
 +        })
 +    }
++
 +    pub async fn generate_qos_report(&mut self) -> QoSReport {
 +        // Update metrics
 +        self.update_qos_metrics().await;
++
 +        QoSReport {
 +            reporting_period: Duration::from_secs(30 * 24 * 3600), // 30 days
 +            total_users: self.user_service_levels.len() as u32,
 +            tier_distribution: self.qos_metrics.total_users_by_tier.clone(),
 +            average_sla_compliance: self.calculate_average_sla_compliance(),
 +            total_violations: self.count_total_violations(),
 +            service_credits_issued: self.calculate_total_credits_issued(),
 +            revenue_by_tier: self.qos_metrics.revenue_by_tier.clone(),
 +            performance_summary: self.generate_performance_summary(),
 +            improvement_recommendations: self.generate_improvement_recommendations(),
 +        }
 +    }
++
 +    async fn evaluate_tier_compliance(&self, service_level: &ServiceLevel) -> Result<SLAComplianceStatus, Box<dyn std::error::Error>> {
 +        let tier = &service_level.tier;
++
 +        // Calculate uptime compliance
 +        let uptime_compliance = self.calculate_uptime_compliance(&service_level.performance_history, tier.sla_guarantees.uptime_percentage);
++
 +        // Calculate performance compliance
 +        let performance_compliance = self.calculate_performance_compliance(&service_level.performance_history, &tier.performance_targets);
++
 +        // Overall compliance is the minimum of all metrics
 +        let overall_compliance = uptime_compliance.min(performance_compliance);
++
 +        Ok(SLAComplianceStatus {
 +            overall_compliance,
 +            uptime_compliance,
 +            performance_compliance,
 +            violations: service_level.sla_compliance.violations.clone(),
 +            credits_earned: self.sla_enforcer.calculate_credits_earned(&service_level.sla_compliance.violations),
 +            next_review: Instant::now() + Duration::from_secs(24 * 3600), // Daily review
 +        })
 +    }
++
 +    fn calculate_uptime_compliance(&self, history: &[PerformanceSnapshot], target: f64) -> f64 {
 +        if history.is_empty() {
 +            return 1.0;
 +        }
++
 +        let total_availability: f64 = history.iter().map(|snapshot| snapshot.availability).sum();
 +        let average_availability = total_availability / history.len() as f64;
++
 +        if average_availability >= target {
 +            1.0
 +        } else {
 +            average_availability / target
 +        }
 +    }
++
 +    fn calculate_performance_compliance(&self, history: &[PerformanceSnapshot], targets: &PerformanceTargets) -> f64 {
 +        if history.is_empty() {
 +            return 1.0;
 +        }
++
 +        let mut compliance_scores = Vec::new();
++
 +        // Response time compliance
 +        let response_times: Vec<Duration> = history.iter().map(|s| s.response_time).collect();
 +        let p95_response_time = self.calculate_percentile_duration(&response_times, 0.95);
 +        let response_compliance = if p95_response_time <= targets.max_latency_p95 { 1.0 } else { 0.8 };
 +        compliance_scores.push(response_compliance);
++
 +        // Throughput compliance
 +        let avg_throughput: f64 = history.iter().map(|s| s.throughput_mbps).sum::<f64>() / history.len() as f64;
 +        let throughput_compliance = if avg_throughput >= targets.min_throughput_mbps { 1.0 } else { 0.8 };
 +        compliance_scores.push(throughput_compliance);
++
 +        // Error rate compliance (assuming 1% max error rate)
 +        let avg_error_rate: f64 = history.iter().map(|s| s.error_rate).sum::<f64>() / history.len() as f64;
 +        let error_compliance = if avg_error_rate <= 0.01 { 1.0 } else { 0.8 };
 +        compliance_scores.push(error_compliance);
++
 +        compliance_scores.iter().sum::<f64>() / compliance_scores.len() as f64
 +    }
++
 +    fn calculate_percentile_duration(&self, durations: &[Duration], percentile: f64) -> Duration {
 +        if durations.is_empty() {
 +            return Duration::from_secs(0);
 +        }
++
 +        let mut sorted = durations.to_vec();
 +        sorted.sort();
++
 +        let index = ((percentile * (sorted.len() - 1) as f64).round() as usize).min(sorted.len() - 1);
 +        sorted[index]
 +    }
++
 +    fn detect_sla_violation(&self, tier: &ServiceTier, metrics: &PerformanceSnapshot) -> Option<SLAViolation> {
 +        let guarantees = &tier.sla_guarantees;
++
 +        // Check uptime violation
 +        if metrics.availability < guarantees.uptime_percentage {
 +            return Some(SLAViolation {
 +                violation_id: format!("uptime_{}", Instant::now().elapsed().as_secs()),
 +                violation_type: ViolationType::UptimeViolation,
 +                start_time: metrics.timestamp,
 +                duration: Duration::from_secs(60), // Assume 1-minute measurement interval
 +                impact_level: if metrics.availability < 0.5 { ImpactLevel::Critical } else { ImpactLevel::High },
 +                affected_users: 1,
 +                credit_amount: self.sla_enforcer.credit_calculator.uptime_credit_rate * (guarantees.uptime_percentage - metrics.availability),
 +                resolution: None,
 +            });
 +        }
++
 +        // Check performance violation
 +        if metrics.response_time > guarantees.max_response_time {
 +            return Some(SLAViolation {
 +                violation_id: format!("performance_{}", Instant::now().elapsed().as_secs()),
 +                violation_type: ViolationType::PerformanceViolation,
 +                start_time: metrics.timestamp,
 +                duration: Duration::from_secs(60),
 +                impact_level: ImpactLevel::Medium,
 +                affected_users: 1,
 +                credit_amount: self.sla_enforcer.credit_calculator.performance_credit_rate,
 +                resolution: None,
 +            });
 +        }
++
 +        None
 +    }
++
 +    fn should_recommend_upgrade(&self, service_level: &ServiceLevel) -> bool {
 +        let usage = &service_level.current_usage;
 +        let tier = &service_level.tier;
++
 +        // Check if user is consistently hitting tier limitations
 +        let hitting_storage_limit = self.is_approaching_limitation(&tier.limitations, "storage", usage.storage_gb_hours);
 +        let hitting_bandwidth_limit = self.is_approaching_limitation(&tier.limitations, "bandwidth", usage.bandwidth_mb);
 +        let hitting_request_limit = self.is_approaching_limitation(&tier.limitations, "requests", usage.requests_count as f64);
++
 +        hitting_storage_limit || hitting_bandwidth_limit || hitting_request_limit
 +    }
++
 +    fn is_approaching_limitation(&self, limitations: &[TierLimitation], resource_type: &str, current_usage: f64) -> bool {
 +        for limitation in limitations {
 +            match limitation {
 +                TierLimitation::MaxStoragePerFile(limit) if resource_type == "storage" => {
 +                    return current_usage > (*limit as f64) * 0.8; // 80% of limit
 +                }
 +                TierLimitation::MaxBandwidthPerHour(limit) if resource_type == "bandwidth" => {
 +                    return current_usage > (*limit as f64) * 0.8;
 +                }
 +                TierLimitation::MaxRequestsPerMinute(limit) if resource_type == "requests" => {
 +                    return current_usage > (*limit as f64) * 0.8;
 +                }
 +                _ => {}
 +            }
 +        }
 +        false
 +    }
++
 +    fn find_optimal_tier_for_usage(&self, usage: &UsageMetrics) -> Option<ServiceTier> {
 +        let tiers = [
 +            &self.tier_configurations.economy_tier,
 +            &self.tier_configurations.standard_tier,
 +            &self.tier_configurations.premium_tier,
 +            &self.tier_configurations.enterprise_tier,
 +        ];
++
 +        for tier in tiers.iter() {
 +            if self.usage_fits_tier(usage, tier) {
 +                return Some((*tier).clone());
 +            }
 +        }
++
 +        None
 +    }
++
 +    fn usage_fits_tier(&self, usage: &UsageMetrics, tier: &ServiceTier) -> bool {
 +        for limitation in &tier.limitations {
 +            match limitation {
 +                TierLimitation::MaxStoragePerFile(limit) => {
 +                    if usage.storage_gb_hours > *limit as f64 {
 +                        return false;
 +                    }
 +                }
 +                TierLimitation::MaxBandwidthPerHour(limit) => {
 +                    if usage.bandwidth_mb > *limit as f64 {
 +                        return false;
 +                    }
 +                }
 +                TierLimitation::MaxRequestsPerMinute(limit) => {
 +                    if usage.requests_count > *limit as u64 {
 +                        return false;
 +                    }
 +                }
 +                _ => {}
 +            }
 +        }
 +        true
 +    }
++
 +    fn get_upgrade_reasons(&self, service_level: &ServiceLevel, recommended_tier: &ServiceTier) -> Vec<String> {
 +        let mut reasons = Vec::new();
++
 +        // Check current performance issues
 +        if service_level.sla_compliance.overall_compliance < 0.95 {
 +            reasons.push("Current tier experiencing performance issues".to_string());
 +        }
++
 +        // Check usage patterns
 +        if self.should_recommend_upgrade(service_level) {
 +            reasons.push("Usage approaching tier limitations".to_string());
 +        }
++
 +        // Check missing features
 +        let current_features = &service_level.tier.features;
 +        let recommended_features = &recommended_tier.features;
 +        for feature in recommended_features {
 +            if !current_features.contains(feature) {
 +                reasons.push(format!("Access to {:?}", feature));
 +            }
 +        }
++
 +        reasons
 +    }
++
 +    fn calculate_cost_impact(&self, service_level: &ServiceLevel, recommended_tier: &ServiceTier) -> CostImpact {
 +        let current_cost = self.calculate_base_cost(&service_level.current_usage) * service_level.tier.price_multiplier;
 +        let new_cost = self.calculate_base_cost(&service_level.current_usage) * recommended_tier.price_multiplier;
++
 +        CostImpact {
 +            current_monthly_cost: current_cost,
 +            new_monthly_cost: new_cost,
 +            difference: new_cost - current_cost,
 +            percentage_increase: ((new_cost - current_cost) / current_cost) * 100.0,
 +        }
 +    }
++
 +    fn calculate_performance_benefits(&self, tier: &ServiceTier) -> Vec<String> {
 +        let mut benefits = Vec::new();
++
 +        benefits.push(format!("{}% uptime guarantee", tier.sla_guarantees.uptime_percentage * 100.0));
 +        benefits.push(format!("Response time under {}ms", tier.performance_targets.max_latency_p95.as_millis()));
 +        benefits.push(format!("Minimum {} Mbps throughput", tier.performance_targets.min_throughput_mbps));
++
 +        if tier.features.contains(&TierFeature::PrioritySupport) {
 +            benefits.push("Priority customer support".to_string());
 +        }
++
 +        if tier.features.contains(&TierFeature::DedicatedResources) {
 +            benefits.push("Dedicated resource allocation".to_string());
 +        }
++
 +        benefits
 +    }
++
 +    fn calculate_base_cost(&self, usage: &UsageMetrics) -> f64 {
 +        const STORAGE_RATE: f64 = 0.001; // ZEPH per GB-hour
 +        const BANDWIDTH_RATE: f64 = 0.0001; // ZEPH per MB
 +        const REQUEST_RATE: f64 = 0.00001; // ZEPH per request
++
 +        usage.storage_gb_hours * STORAGE_RATE +
 +        usage.bandwidth_mb * BANDWIDTH_RATE +
 +        usage.requests_count as f64 * REQUEST_RATE
 +    }
++
 +    fn calculate_feature_cost(&self, features: &[TierFeature], _usage: &UsageMetrics) -> f64 {
 +        let mut cost = 0.0;
++
 +        for feature in features {
 +            match feature {
 +                TierFeature::PrioritySupport => cost += 5.0, // $5 equivalent
 +                TierFeature::DedicatedResources => cost += 20.0,
 +                TierFeature::AdvancedMonitoring => cost += 3.0,
 +                TierFeature::GeographicReplication => cost += 10.0,
 +                TierFeature::DisasterRecovery => cost += 15.0,
 +                _ => cost += 1.0, // Base cost for other features
 +            }
 +        }
++
 +        cost
 +    }
++
 +    async fn update_qos_metrics(&mut self) {
 +        // Update user counts by tier
 +        let mut tier_counts = HashMap::new();
 +        for service_level in self.user_service_levels.values() {
 +            let count = tier_counts.entry(service_level.tier.tier_id.clone()).or_insert(0);
 +            *count += 1;
 +        }
 +        self.qos_metrics.total_users_by_tier = tier_counts;
++
 +        // Calculate average performance by tier
 +        let mut tier_performance = HashMap::new();
 +        for service_level in self.user_service_levels.values() {
 +            if let Some(latest_perf) = service_level.performance_history.last() {
 +                tier_performance.insert(service_level.tier.tier_id.clone(), latest_perf.clone());
 +            }
 +        }
 +        self.qos_metrics.average_performance_by_tier = tier_performance;
++
 +        // Calculate SLA compliance rates
 +        let mut compliance_rates = HashMap::new();
 +        for service_level in self.user_service_levels.values() {
 +            compliance_rates.insert(
 +                service_level.tier.tier_id.clone(),
 +                service_level.sla_compliance.overall_compliance,
 +            );
 +        }
 +        self.qos_metrics.sla_compliance_rates = compliance_rates;
 +    }
++
 +    fn calculate_average_sla_compliance(&self) -> f64 {
 +        if self.user_service_levels.is_empty() {
 +            return 1.0;
 +        }
++
 +        let total_compliance: f64 = self.user_service_levels.values()
 +            .map(|sl| sl.sla_compliance.overall_compliance)
 +            .sum();
++
 +        total_compliance / self.user_service_levels.len() as f64
 +    }
++
 +    fn count_total_violations(&self) -> u32 {
 +        self.user_service_levels.values()
 +            .map(|sl| sl.sla_compliance.violations.len() as u32)
 +            .sum()
 +    }
++
 +    fn calculate_total_credits_issued(&self) -> f64 {
 +        self.user_service_levels.values()
 +            .map(|sl| sl.sla_compliance.credits_earned)
 +            .sum()
 +    }
++
 +    fn generate_performance_summary(&self) -> PerformanceSummary {
 +        PerformanceSummary {
 +            average_response_time: Duration::from_millis(150),
 +            average_throughput: 50.0,
 +            overall_availability: 99.95,
 +            total_requests_served: 1_000_000,
 +            average_error_rate: 0.001,
 +        }
 +    }
++
 +    fn generate_improvement_recommendations(&self) -> Vec<String> {
 +        vec![
 +            "Consider upgrading infrastructure in high-latency regions".to_string(),
 +            "Implement additional monitoring for premium tier users".to_string(),
 +            "Review SLA thresholds for enterprise tier".to_string(),
 +        ]
 +    }
++
 +    fn create_default_tiers() -> HashMap<String, ServiceTier> {
 +        let mut tiers = HashMap::new();
++
 +        tiers.insert("economy".to_string(), TierConfiguration::create_economy_tier());
 +        tiers.insert("standard".to_string(), TierConfiguration::create_standard_tier());
 +        tiers.insert("premium".to_string(), TierConfiguration::create_premium_tier());
 +        tiers.insert("enterprise".to_string(), TierConfiguration::create_enterprise_tier());
++
 +        tiers
 +    }
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct TierUpgradeRecommendation {
 +    pub current_tier: String,
 +    pub recommended_tier: String,
 +    pub reasons: Vec<String>,
 +    pub cost_impact: CostImpact,
 +    pub performance_benefits: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CostImpact {
 +    pub current_monthly_cost: f64,
 +    pub new_monthly_cost: f64,
 +    pub difference: f64,
 +    pub percentage_increase: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct TierPricing {
 +    pub tier_id: String,
 +    pub base_cost: f64,
 +    pub feature_cost: f64,
 +    pub total_cost: f64,
 +    pub billing_period: BillingCycle,
 +    pub includes_support: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct QoSReport {
 +    pub reporting_period: Duration,
 +    pub total_users: u32,
 +    pub tier_distribution: HashMap<String, u32>,
 +    pub average_sla_compliance: f64,
 +    pub total_violations: u32,
 +    pub service_credits_issued: f64,
 +    pub revenue_by_tier: HashMap<String, f64>,
 +    pub performance_summary: PerformanceSummary,
 +    pub improvement_recommendations: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PerformanceSummary {
 +    pub average_response_time: Duration,
 +    pub average_throughput: f64,
 +    pub overall_availability: f64,
 +    pub total_requests_served: u64,
 +    pub average_error_rate: f64,
 +}
++
 +impl Default for UsageMetrics {
 +    fn default() -> Self {
 +        Self {
 +            storage_gb_hours: 0.0,
 +            bandwidth_mb: 0.0,
 +            requests_count: 0,
 +            cpu_core_hours: 0.0,
 +            data_transfer_gb: 0.0,
 +            api_calls: 0,
 +        }
 +    }
 +}
++
 +impl Default for SLAComplianceStatus {
 +    fn default() -> Self {
 +        Self {
 +            overall_compliance: 1.0,
 +            uptime_compliance: 1.0,
 +            performance_compliance: 1.0,
 +            violations: Vec::new(),
 +            credits_earned: 0.0,
 +            next_review: Instant::now() + Duration::from_secs(24 * 3600),
 +        }
 +    }
 +}
++
 +impl Default for BillingStatus {
 +    fn default() -> Self {
 +        Self {
 +            current_tier_cost: 0.0,
 +            usage_based_cost: 0.0,
 +            service_credits: 0.0,
 +            outstanding_balance: 0.0,
 +            payment_method: PaymentMethod::TokenBalance { balance: 100.0 },
 +            billing_cycle: BillingCycle::Monthly,
 +            next_billing_date: Instant::now() + Duration::from_secs(30 * 24 * 3600),
 +        }
 +    }
 +}
++
 +impl Default for QoSMetrics {
 +    fn default() -> Self {
 +        Self {
 +            total_users_by_tier: HashMap::new(),
 +            average_performance_by_tier: HashMap::new(),
 +            sla_compliance_rates: HashMap::new(),
 +            revenue_by_tier: HashMap::new(),
 +            churn_rate_by_tier: HashMap::new(),
 +            upgrade_conversion_rate: 0.05,
 +        }
 +    }
 +}
++
 +impl TierConfiguration {
 +    fn create_economy_tier() -> ServiceTier {
 +        ServiceTier {
 +            tier_id: "economy".to_string(),
 +            name: "Economy".to_string(),
 +            description: "Basic storage with shared resources".to_string(),
 +            price_multiplier: 0.8,
 +            sla_guarantees: SLAGuarantees {
 +                uptime_percentage: 0.95,
 +                max_response_time: Duration::from_secs(5),
 +                data_durability: 0.999,
 +                recovery_time_objective: Duration::from_secs(3600),
 +                recovery_point_objective: Duration::from_secs(300),
 +                availability_zones: 1,
 +                support_response_time: Duration::from_secs(24 * 3600),
 +            },
 +            performance_targets: PerformanceTargets {
 +                min_throughput_mbps: 10.0,
 +                max_latency_p50: Duration::from_millis(500),
 +                max_latency_p95: Duration::from_millis(2000),
 +                max_latency_p99: Duration::from_millis(5000),
 +                min_iops: 100,
 +                max_jitter: Duration::from_millis(100),
 +                bandwidth_guarantee: 0.5,
 +                concurrent_connection_limit: 10,
 +            },
 +            features: vec![
 +                TierFeature::EncryptionAtRest,
 +                TierFeature::BasicMonitoring,
 +            ],
 +            limitations: vec![
 +                TierLimitation::MaxStoragePerFile(1024 * 1024 * 1024), // 1GB per file
 +                TierLimitation::MaxBandwidthPerHour(10 * 1024), // 10GB per hour
 +                TierLimitation::MaxRequestsPerMinute(100),
 +                TierLimitation::SharedResources,
 +                TierLimitation::LimitedSupport("Email only".to_string()),
 +            ],
 +        }
 +    }
++
 +    fn create_standard_tier() -> ServiceTier {
 +        ServiceTier {
 +            tier_id: "standard".to_string(),
 +            name: "Standard".to_string(),
 +            description: "Reliable storage with good performance".to_string(),
 +            price_multiplier: 1.0,
 +            sla_guarantees: SLAGuarantees {
 +                uptime_percentage: 0.99,
 +                max_response_time: Duration::from_secs(2),
 +                data_durability: 0.9999,
 +                recovery_time_objective: Duration::from_secs(1800),
 +                recovery_point_objective: Duration::from_secs(60),
 +                availability_zones: 2,
 +                support_response_time: Duration::from_secs(8 * 3600),
 +            },
 +            performance_targets: PerformanceTargets {
 +                min_throughput_mbps: 25.0,
 +                max_latency_p50: Duration::from_millis(200),
 +                max_latency_p95: Duration::from_millis(1000),
 +                max_latency_p99: Duration::from_millis(2000),
 +                min_iops: 500,
 +                max_jitter: Duration::from_millis(50),
 +                bandwidth_guarantee: 0.8,
 +                concurrent_connection_limit: 50,
 +            },
 +            features: vec![
 +                TierFeature::EncryptionAtRest,
 +                TierFeature::EncryptionInTransit,
 +                TierFeature::AdvancedMonitoring,
 +                TierFeature::BackupAutomation,
 +            ],
 +            limitations: vec![
 +                TierLimitation::MaxStoragePerFile(10 * 1024 * 1024 * 1024), // 10GB per file
 +                TierLimitation::MaxBandwidthPerHour(100 * 1024), // 100GB per hour
 +                TierLimitation::MaxRequestsPerMinute(1000),
 +            ],
 +        }
 +    }
++
 +    fn create_premium_tier() -> ServiceTier {
 +        ServiceTier {
 +            tier_id: "premium".to_string(),
 +            name: "Premium".to_string(),
 +            description: "High-performance storage with priority support".to_string(),
 +            price_multiplier: 1.5,
 +            sla_guarantees: SLAGuarantees {
 +                uptime_percentage: 0.999,
 +                max_response_time: Duration::from_millis(500),
 +                data_durability: 0.99999,
 +                recovery_time_objective: Duration::from_secs(600),
 +                recovery_point_objective: Duration::from_secs(10),
 +                availability_zones: 3,
 +                support_response_time: Duration::from_secs(2 * 3600),
 +            },
 +            performance_targets: PerformanceTargets {
 +                min_throughput_mbps: 100.0,
 +                max_latency_p50: Duration::from_millis(100),
 +                max_latency_p95: Duration::from_millis(500),
 +                max_latency_p99: Duration::from_millis(1000),
 +                min_iops: 2000,
 +                max_jitter: Duration::from_millis(20),
 +                bandwidth_guarantee: 0.95,
 +                concurrent_connection_limit: 200,
 +            },
 +            features: vec![
 +                TierFeature::PrioritySupport,
 +                TierFeature::DedicatedResources,
 +                TierFeature::AdvancedMonitoring,
 +                TierFeature::GeographicReplication,
 +                TierFeature::EncryptionAtRest,
 +                TierFeature::EncryptionInTransit,
 +                TierFeature::BackupAutomation,
 +                TierFeature::LoadBalancing,
 +                TierFeature::DetailedAnalytics,
 +            ],
 +            limitations: vec![
 +                TierLimitation::MaxConcurrentConnections(200),
 +            ],
 +        }
 +    }
++
 +    fn create_enterprise_tier() -> ServiceTier {
 +        ServiceTier {
 +            tier_id: "enterprise".to_string(),
 +            name: "Enterprise".to_string(),
 +            description: "Maximum performance with full SLA guarantees".to_string(),
 +            price_multiplier: 2.0,
 +            sla_guarantees: SLAGuarantees {
 +                uptime_percentage: 0.9999,
 +                max_response_time: Duration::from_millis(100),
 +                data_durability: 0.999999,
 +                recovery_time_objective: Duration::from_secs(60),
 +                recovery_point_objective: Duration::from_secs(1),
 +                availability_zones: 5,
 +                support_response_time: Duration::from_secs(3600),
 +            },
 +            performance_targets: PerformanceTargets {
 +                min_throughput_mbps: 500.0,
 +                max_latency_p50: Duration::from_millis(50),
 +                max_latency_p95: Duration::from_millis(200),
 +                max_latency_p99: Duration::from_millis(500),
 +                min_iops: 10000,
 +                max_jitter: Duration::from_millis(5),
 +                bandwidth_guarantee: 1.0,
 +                concurrent_connection_limit: 1000,
 +            },
 +            features: vec![
 +                TierFeature::PrioritySupport,
 +                TierFeature::DedicatedResources,
 +                TierFeature::AdvancedMonitoring,
 +                TierFeature::CustomRetention,
 +                TierFeature::GeographicReplication,
 +                TierFeature::EncryptionAtRest,
 +                TierFeature::EncryptionInTransit,
 +                TierFeature::ComplianceCertification,
 +                TierFeature::BackupAutomation,
 +                TierFeature::DisasterRecovery,
 +                TierFeature::LoadBalancing,
 +                TierFeature::ContentDeliveryNetwork,
 +                TierFeature::APIRateLimiting,
 +                TierFeature::WebhookNotifications,
 +                TierFeature::DetailedAnalytics,
 +            ],
 +            limitations: vec![], // No limitations for enterprise tier
 +        }
 +    }
 +}
++
 +impl Default for TierConfiguration {
 +    fn default() -> Self {
 +        Self {
 +            economy_tier: Self::create_economy_tier(),
 +            standard_tier: Self::create_standard_tier(),
 +            premium_tier: Self::create_premium_tier(),
 +            enterprise_tier: Self::create_enterprise_tier(),
 +        }
 +    }
 +}
++
 +impl PerformanceMonitor {
 +    fn new() -> Self {
 +        Self {
 +            monitoring_interval: Duration::from_secs(60),
 +            performance_thresholds: HashMap::new(),
 +            active_monitors: HashMap::new(),
 +        }
 +    }
++
 +    async fn start_monitoring(&mut self, user_id: &str, tier: &ServiceTier) -> Result<(), Box<dyn std::error::Error>> {
 +        let session = MonitoringSession {
 +            user_id: user_id.to_string(),
 +            start_time: Instant::now(),
 +            current_metrics: PerformanceSnapshot {
 +                timestamp: Instant::now(),
 +                response_time: Duration::from_millis(100),
 +                throughput_mbps: 50.0,
 +                availability: 1.0,
 +                error_rate: 0.0,
 +                resource_utilization: 0.5,
 +            },
 +            violation_count: 0,
 +            last_violation: None,
 +        };
++
 +        self.active_monitors.insert(user_id.to_string(), session);
++
 +        // Set performance thresholds based on tier
 +        let threshold = PerformanceThreshold {
 +            tier_id: tier.tier_id.clone(),
 +            max_response_time: tier.performance_targets.max_latency_p95,
 +            min_throughput: tier.performance_targets.min_throughput_mbps,
 +            max_error_rate: 0.01, // 1% max error rate
 +            min_availability: tier.sla_guarantees.uptime_percentage,
 +        };
++
 +        self.performance_thresholds.insert(user_id.to_string(), threshold);
++
 +        Ok(())
 +    }
 +}
++
 +impl SLAEnforcer {
 +    fn new() -> Self {
 +        Self {
 +            violation_history: HashMap::new(),
 +            credit_calculator: CreditCalculator {
 +                uptime_credit_rate: 1.0,      // 1 ZEPH per hour of downtime
 +                performance_credit_rate: 0.1,  // 0.1 ZEPH per violation
 +                data_loss_credit_rate: 10.0,   // 10 ZEPH per GB lost
 +            },
 +            automated_responses: Self::create_automated_responses(),
 +        }
 +    }
++
 +    async fn handle_violation(&mut self, user_id: &str, violation: SLAViolation) -> Result<(), Box<dyn std::error::Error>> {
 +        // Record violation
 +        let violations = self.violation_history.entry(user_id.to_string()).or_insert_with(Vec::new);
 +        violations.push(violation.clone());
++
 +        // Execute automated response
 +        if let Some(response) = self.automated_responses.get(&violation.violation_type) {
 +            self.execute_automated_response(response, &violation).await?;
 +        }
++
 +        Ok(())
 +    }
++
 +    fn calculate_credits_earned(&self, violations: &[SLAViolation]) -> f64 {
 +        violations.iter().map(|v| v.credit_amount).sum()
 +    }
++
 +    async fn execute_automated_response(&self, response: &AutomatedResponse, _violation: &SLAViolation) -> Result<(), Box<dyn std::error::Error>> {
 +        match response {
 +            AutomatedResponse::ScaleUpResources => {
 +                // Scale up resources automatically
 +                println!("Scaling up resources in response to SLA violation");
 +            }
 +            AutomatedResponse::FailoverToBackup => {
 +                // Failover to backup systems
 +                println!("Initiating failover to backup systems");
 +            }
 +            AutomatedResponse::ReduceTrafficLoad => {
 +                // Implement traffic throttling
 +                println!("Reducing traffic load to prevent further violations");
 +            }
 +            AutomatedResponse::AlertOperations => {
 +                // Alert operations team
 +                println!("Alerting operations team of SLA violation");
 +            }
 +            AutomatedResponse::IssueServiceCredit => {
 +                // Issue service credit to user account
 +                println!("Issuing service credit to user account");
 +            }
 +            AutomatedResponse::UpgradeTier => {
 +                // Temporarily upgrade user to higher tier
 +                println!("Temporarily upgrading user to higher service tier");
 +            }
 +        }
++
 +        Ok(())
 +    }
++
 +    fn create_automated_responses() -> HashMap<ViolationType, AutomatedResponse> {
 +        let mut responses = HashMap::new();
++
 +        responses.insert(ViolationType::UptimeViolation, AutomatedResponse::ScaleUpResources);
 +        responses.insert(ViolationType::PerformanceViolation, AutomatedResponse::FailoverToBackup);
 +        responses.insert(ViolationType::DataLoss, AutomatedResponse::AlertOperations);
 +        responses.insert(ViolationType::SecurityBreach, AutomatedResponse::AlertOperations);
 +        responses.insert(ViolationType::SupportViolation, AutomatedResponse::IssueServiceCredit);
 +        responses.insert(ViolationType::FeatureUnavailability, AutomatedResponse::UpgradeTier);
++
 +        responses
 +    }
 +}

src/market/regional_optimizer.rsadded

1145 lines changed — click to load

 +//! Regional Price Optimization
 +//!
 +//! Geographic pricing optimization based on local market conditions
++
 +use serde::{Deserialize, Serialize};
 +use std::collections::HashMap;
 +use tokio::time::{Duration, Instant};
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RegionalMarket {
 +    pub region_id: String,
 +    pub region_name: String,
 +    pub market_conditions: MarketConditions,
 +    pub price_adjustments: PriceAdjustment,
 +    pub economic_factors: EconomicFactors,
 +    pub infrastructure_costs: InfrastructureCosts,
 +    pub competitive_landscape: CompetitiveLandscape,
 +    pub demand_patterns: DemandPatterns,
 +    pub supply_characteristics: SupplyCharacteristics,
 +    pub regulatory_environment: RegulatoryEnvironment,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct MarketConditions {
 +    pub market_maturity: MarketMaturity,
 +    pub competition_level: CompetitionLevel,
 +    pub customer_segments: Vec<CustomerSegment>,
 +    pub growth_rate: f64, // Annual growth rate
 +    pub market_volatility: f64, // 0.0 = stable, 1.0 = highly volatile
 +    pub seasonal_patterns: SeasonalityData,
 +    pub economic_stability: f64, // 0.0 = unstable, 1.0 = very stable
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum MarketMaturity {
 +    Emerging,     // New market, high growth potential
 +    Developing,   // Growing market, increasing adoption
 +    Mature,       // Established market, stable demand
 +    Saturated,    // Highly competitive, price-sensitive
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum CompetitionLevel {
 +    Monopolistic,  // Dominant position, premium pricing
 +    Oligopolistic, // Few competitors, coordinated pricing
 +    Competitive,   // Many competitors, market-driven pricing
 +    PerfectCompetition, // Commodity pricing, minimal margins
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CustomerSegment {
 +    pub segment_id: String,
 +    pub segment_name: String,
 +    pub price_sensitivity: f64, // 0.0 = price insensitive, 1.0 = highly sensitive
 +    pub quality_preference: f64, // 0.0 = cost-focused, 1.0 = quality-focused
 +    pub adoption_rate: f64,
 +    pub average_spend: f64,
 +    pub growth_potential: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PriceAdjustment {
 +    pub base_multiplier: f64,
 +    pub demand_adjustment: f64,
 +    pub competition_adjustment: f64,
 +    pub cost_adjustment: f64,
 +    pub regulatory_adjustment: f64,
 +    pub currency_adjustment: f64,
 +    pub final_multiplier: f64,
 +    pub confidence_score: f64,
 +    pub last_updated: Instant,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct EconomicFactors {
 +    pub gdp_per_capita: f64,
 +    pub purchasing_power_parity: f64,
 +    pub inflation_rate: f64,
 +    pub currency_stability: f64,
 +    pub internet_penetration: f64,
 +    pub digital_adoption_index: f64,
 +    pub business_environment_rank: u16,
 +    pub technology_readiness: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct InfrastructureCosts {
 +    pub datacenter_costs: DatacenterCosts,
 +    pub network_costs: NetworkCosts,
 +    pub energy_costs: EnergyCosts,
 +    pub labor_costs: LaborCosts,
 +    pub regulatory_costs: RegulatoryCosts,
 +    pub total_cost_index: f64, // Relative to global average (1.0)
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct DatacenterCosts {
 +    pub real_estate_cost_per_sqm: f64,
 +    pub construction_cost_multiplier: f64,
 +    pub equipment_import_duties: f64,
 +    pub maintenance_cost_multiplier: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct NetworkCosts {
 +    pub fiber_deployment_cost: f64,
 +    pub international_bandwidth_cost: f64,
 +    pub local_peering_costs: f64,
 +    pub routing_equipment_costs: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct EnergyCosts {
 +    pub electricity_cost_per_kwh: f64,
 +    pub renewable_energy_availability: f64,
 +    pub grid_stability_score: f64,
 +    pub carbon_tax_rate: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct LaborCosts {
 +    pub average_tech_salary: f64,
 +    pub benefits_multiplier: f64,
 +    pub training_costs: f64,
 +    pub turnover_rate: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RegulatoryCosts {
 +    pub compliance_costs: f64,
 +    pub licensing_fees: f64,
 +    pub audit_costs: f64,
 +    pub data_protection_costs: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CompetitiveLandscape {
 +    pub major_competitors: Vec<CompetitorAnalysis>,
 +    pub market_share_distribution: HashMap<String, f64>,
 +    pub pricing_strategies: HashMap<String, PricingStrategy>,
 +    pub competitive_advantages: Vec<CompetitiveAdvantage>,
 +    pub market_differentiation: MarketDifferentiation,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CompetitorAnalysis {
 +    pub company_name: String,
 +    pub market_share: f64,
 +    pub pricing_model: PricingModel,
 +    pub service_quality: f64,
 +    pub strengths: Vec<String>,
 +    pub weaknesses: Vec<String>,
 +    pub pricing_aggressiveness: f64, // 0.0 = conservative, 1.0 = aggressive
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum PricingModel {
 +    PremiumPricing,    // High price, high quality
 +    ValuePricing,      // Balanced price/quality
 +    EconomyPricing,    // Low price, basic features
 +    DynamicPricing,    // Variable pricing based on demand
 +    FreeBasicPaid,     // Freemium model
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum PricingStrategy {
 +    PenetrationPricing,  // Low prices to gain market share
 +    SkimmingPricing,     // High initial prices, lower over time
 +    CompetitivePricing,  // Match competitor prices
 +    ValueBasedPricing,   // Price based on perceived value
 +    CostPlusPricing,     // Cost plus margin
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CompetitiveAdvantage {
 +    pub advantage_type: AdvantageType,
 +    pub strength_score: f64, // 0.0 = weak, 1.0 = strong
 +    pub sustainability: f64, // How long advantage can be maintained
 +    pub market_impact: f64,  // Impact on customer decision-making
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum AdvantageType {
 +    TechnologySuperiority,
 +    CostLeadership,
 +    NetworkEffects,
 +    BrandRecognition,
 +    CustomerService,
 +    GlobalPresence,
 +    SecurityCertifications,
 +    PerformanceAdvantage,
 +    EcosystemIntegration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct MarketDifferentiation {
 +    pub unique_value_propositions: Vec<String>,
 +    pub target_customer_segments: Vec<String>,
 +    pub positioning_strategy: PositioningStrategy,
 +    pub brand_perception: BrandPerception,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum PositioningStrategy {
 +    PremiumProvider,     // High-end, premium features
 +    ValueLeader,         // Best value for money
 +    InnovationLeader,    // Cutting-edge technology
 +    ServiceExcellence,   // Superior customer service
 +    CostLeader,         // Lowest cost provider
 +    NicheSpecialist,    // Focused on specific segments
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BrandPerception {
 +    pub reliability_score: f64,
 +    pub innovation_score: f64,
 +    pub customer_satisfaction: f64,
 +    pub market_reputation: f64,
 +    pub trust_index: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct DemandPatterns {
 +    pub historical_demand: Vec<DemandDataPoint>,
 +    pub seasonal_factors: SeasonalityData,
 +    pub growth_trends: GrowthTrends,
 +    pub demand_elasticity: DemandElasticity,
 +    pub customer_behavior: CustomerBehavior,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct DemandDataPoint {
 +    pub timestamp: Instant,
 +    pub demand_volume: f64,
 +    pub average_price: f64,
 +    pub customer_count: u32,
 +    pub market_events: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct SeasonalityData {
 +    pub monthly_factors: [f64; 12], // Multipliers for each month
 +    pub weekly_factors: [f64; 7],   // Multipliers for each day of week
 +    pub holiday_factors: HashMap<String, f64>, // Holiday impact
 +    pub business_cycle_impact: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct GrowthTrends {
 +    pub short_term_growth: f64,  // Next 3 months
 +    pub medium_term_growth: f64, // Next 12 months
 +    pub long_term_growth: f64,   // Next 5 years
 +    pub growth_drivers: Vec<String>,
 +    pub growth_constraints: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct DemandElasticity {
 +    pub price_elasticity: f64,     // % demand change / % price change
 +    pub income_elasticity: f64,    // Response to economic changes
 +    pub substitution_elasticity: f64, // Response to competitor changes
 +    pub quality_elasticity: f64,   // Response to service quality changes
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CustomerBehavior {
 +    pub switching_costs: f64,      // Cost for customers to switch providers
 +    pub loyalty_index: f64,        // Customer retention likelihood
 +    pub word_of_mouth_factor: f64, // Referral impact
 +    pub decision_factors: Vec<DecisionFactor>, // What drives purchase decisions
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct DecisionFactor {
 +    pub factor_name: String,
 +    pub importance_weight: f64, // 0.0 = not important, 1.0 = very important
 +    pub satisfaction_score: f64, // How well we satisfy this factor
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct SupplyCharacteristics {
 +    pub node_density: f64,         // Nodes per capita
 +    pub infrastructure_quality: f64, // Quality of local infrastructure
 +    pub node_reliability: f64,     // Average node uptime
 +    pub capacity_utilization: f64, // How much capacity is being used
 +    pub expansion_potential: f64,  // Potential for network growth
 +    pub technical_expertise: f64,  // Local technical skill availability
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RegulatoryEnvironment {
 +    pub data_sovereignty_requirements: Vec<String>,
 +    pub privacy_regulations: Vec<String>,
 +    pub content_restrictions: Vec<String>,
 +    pub tax_implications: TaxStructure,
 +    pub compliance_complexity: f64, // 0.0 = simple, 1.0 = very complex
 +    pub regulatory_risk: f64,       // Risk of regulatory changes
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct TaxStructure {
 +    pub corporate_tax_rate: f64,
 +    pub digital_services_tax: f64,
 +    pub vat_gst_rate: f64,
 +    pub withholding_tax_rate: f64,
 +    pub tax_incentives: Vec<String>,
 +}
++
 +pub struct RegionalPriceOptimizer {
 +    regional_markets: HashMap<String, RegionalMarket>,
 +    global_baseline: GlobalBaseline,
 +    optimization_algorithms: OptimizationAlgorithms,
 +    price_history: HashMap<String, Vec<PriceUpdate>>,
 +    market_intelligence: MarketIntelligence,
 +}
++
 +#[derive(Debug, Clone)]
 +struct GlobalBaseline {
 +    base_storage_price: f64,
 +    base_bandwidth_price: f64,
 +    base_compute_price: f64,
 +    global_average_costs: f64,
 +    reference_currency: String,
 +}
++
 +struct OptimizationAlgorithms {
 +    demand_based_optimizer: DemandOptimizer,
 +    competition_based_optimizer: CompetitionOptimizer,
 +    cost_based_optimizer: CostOptimizer,
 +    value_based_optimizer: ValueOptimizer,
 +}
++
 +struct DemandOptimizer {
 +    elasticity_models: HashMap<String, ElasticityModel>,
 +    demand_forecasts: HashMap<String, DemandForecast>,
 +}
++
 +struct CompetitionOptimizer {
 +    competitor_monitoring: CompetitorMonitoring,
 +    pricing_game_models: HashMap<String, GameTheoryModel>,
 +}
++
 +struct CostOptimizer {
 +    cost_models: HashMap<String, CostModel>,
 +    efficiency_targets: HashMap<String, f64>,
 +}
++
 +struct ValueOptimizer {
 +    value_perception_models: HashMap<String, ValueModel>,
 +    willingness_to_pay_curves: HashMap<String, WillingnessToPayCurve>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct PriceUpdate {
 +    timestamp: Instant,
 +    old_price: f64,
 +    new_price: f64,
 +    reason: String,
 +    impact_assessment: PriceImpactAssessment,
 +}
++
 +#[derive(Debug, Clone)]
 +struct PriceImpactAssessment {
 +    expected_demand_change: f64,
 +    expected_revenue_change: f64,
 +    competitor_response_likelihood: f64,
 +    customer_satisfaction_impact: f64,
 +}
++
 +struct MarketIntelligence {
 +    data_sources: Vec<DataSource>,
 +    intelligence_reports: HashMap<String, IntelligenceReport>,
 +    trend_analysis: TrendAnalysisEngine,
 +}
++
 +#[derive(Debug, Clone)]
 +struct DataSource {
 +    source_id: String,
 +    source_type: DataSourceType,
 +    reliability_score: f64,
 +    update_frequency: Duration,
 +}
++
 +#[derive(Debug, Clone)]
 +enum DataSourceType {
 +    CompetitorPricing,
 +    EconomicIndicators,
 +    CustomerSurveys,
 +    UsageAnalytics,
 +    MarketResearch,
 +    RegulatoryUpdates,
 +}
++
 +#[derive(Debug, Clone)]
 +struct IntelligenceReport {
 +    report_id: String,
 +    region: String,
 +    key_insights: Vec<String>,
 +    recommendations: Vec<String>,
 +    confidence_level: f64,
 +    valid_until: Instant,
 +}
++
 +struct TrendAnalysisEngine {
 +    trend_models: HashMap<String, TrendModel>,
 +    prediction_accuracy: HashMap<String, f64>,
 +}
++
 +// Placeholder structures for complex models
 +#[derive(Debug, Clone)]
 +struct ElasticityModel { coefficients: Vec<f64> }
++
 +#[derive(Debug, Clone)]
 +struct DemandForecast {
 +    predictions: Vec<f64>,
 +    confidence_intervals: Vec<(f64, f64)>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct CompetitorMonitoring {
 +    tracked_competitors: Vec<String>,
 +    price_alerts: Vec<PriceAlert>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct PriceAlert {
 +    competitor: String,
 +    price_change: f64,
 +    timestamp: Instant,
 +}
++
 +#[derive(Debug, Clone)]
 +struct GameTheoryModel { payoff_matrix: Vec<Vec<f64>> }
++
 +#[derive(Debug, Clone)]
 +struct CostModel {
 +    fixed_costs: f64,
 +    variable_costs: f64,
 +    economies_of_scale: f64,
 +}
++
 +#[derive(Debug, Clone)]
 +struct ValueModel {
 +    value_attributes: HashMap<String, f64>,
 +    attribute_weights: HashMap<String, f64>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct WillingnessToPayCurve {
 +    price_points: Vec<f64>,
 +    demand_probabilities: Vec<f64>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct TrendModel {
 +    trend_type: TrendType,
 +    parameters: Vec<f64>,
 +    accuracy_score: f64,
 +}
++
 +#[derive(Debug, Clone)]
 +enum TrendType {
 +    Linear,
 +    Exponential,
 +    Seasonal,
 +    Cyclical,
 +    MachineLearning,
 +}
++
 +impl RegionalPriceOptimizer {
 +    pub fn new() -> Self {
 +        Self {
 +            regional_markets: Self::initialize_regional_markets(),
 +            global_baseline: GlobalBaseline::default(),
 +            optimization_algorithms: OptimizationAlgorithms::new(),
 +            price_history: HashMap::new(),
 +            market_intelligence: MarketIntelligence::new(),
 +        }
 +    }
++
 +    pub async fn optimize_regional_pricing(&mut self) -> Result<HashMap<String, PriceAdjustment>, Box<dyn std::error::Error>> {
 +        let mut optimized_prices = HashMap::new();
++
 +        for (region_id, market) in &mut self.regional_markets {
 +            let price_adjustment = self.calculate_optimal_pricing(region_id, market).await?;
++
 +            // Apply the price adjustment
 +            market.price_adjustments = price_adjustment.clone();
++
 +            // Record the price update
 +            self.record_price_update(region_id, &price_adjustment).await;
++
 +            optimized_prices.insert(region_id.clone(), price_adjustment);
 +        }
++
 +        Ok(optimized_prices)
 +    }
++
 +    pub fn get_regional_price(&self, region_id: &str, base_price: f64) -> Option<f64> {
 +        self.regional_markets.get(region_id)
 +            .map(|market| base_price * market.price_adjustments.final_multiplier)
 +    }
++
 +    pub async fn analyze_price_sensitivity(&self, region_id: &str) -> Option<PriceSensitivityAnalysis> {
 +        let market = self.regional_markets.get(region_id)?;
++
 +        let customer_price_sensitivity = market.market_conditions.customer_segments.iter()
 +            .map(|segment| segment.price_sensitivity * segment.average_spend)
 +            .sum::<f64>() / market.market_conditions.customer_segments.len() as f64;
++
 +        let competitive_pressure = match market.market_conditions.competition_level {
 +            CompetitionLevel::Monopolistic => 0.1,
 +            CompetitionLevel::Oligopolistic => 0.4,
 +            CompetitionLevel::Competitive => 0.7,
 +            CompetitionLevel::PerfectCompetition => 1.0,
 +        };
++
 +        let elasticity = market.demand_patterns.demand_elasticity.price_elasticity;
++
 +        Some(PriceSensitivityAnalysis {
 +            customer_sensitivity: customer_price_sensitivity,
 +            competitive_pressure,
 +            price_elasticity: elasticity,
 +            optimal_price_range: self.calculate_optimal_price_range(customer_price_sensitivity, competitive_pressure),
 +            recommendation: self.generate_pricing_recommendation(customer_price_sensitivity, competitive_pressure, elasticity),
 +        })
 +    }
++
 +    pub async fn forecast_demand(&self, region_id: &str, price_change: f64) -> Option<DemandForecast> {
 +        let market = self.regional_markets.get(region_id)?;
 +        let elasticity = market.demand_patterns.demand_elasticity.price_elasticity;
++
 +        // Simple elasticity-based demand forecasting
 +        let demand_change = elasticity * price_change;
 +        let current_demand = self.estimate_current_demand(region_id);
++
 +        let predictions = vec![
 +            current_demand * (1.0 + demand_change),
 +            current_demand * (1.0 + demand_change * 0.8), // Dampened long-term effect
 +            current_demand * (1.0 + demand_change * 0.6),
 +        ];
++
 +        let confidence_intervals = predictions.iter()
 +            .map(|&pred| (pred * 0.9, pred * 1.1))
 +            .collect();
++
 +        Some(DemandForecast {
 +            predictions,
 +            confidence_intervals,
 +        })
 +    }
++
 +    pub async fn benchmark_against_competitors(&self, region_id: &str) -> Option<CompetitiveBenchmark> {
 +        let market = self.regional_markets.get(region_id)?;
 +        let our_price = self.global_baseline.base_storage_price * market.price_adjustments.final_multiplier;
++
 +        let competitor_prices: Vec<f64> = market.competitive_landscape.major_competitors.iter()
 +            .map(|comp| self.estimate_competitor_price(&comp.company_name))
 +            .collect();
++
 +        if competitor_prices.is_empty() {
 +            return None;
 +        }
++
 +        let avg_competitor_price = competitor_prices.iter().sum::<f64>() / competitor_prices.len() as f64;
 +        let min_competitor_price = competitor_prices.iter().fold(f64::INFINITY, |a, &b| a.min(b));
 +        let max_competitor_price = competitor_prices.iter().fold(f64::NEG_INFINITY, |a, &b| a.max(b));
++
 +        let position = if our_price < min_competitor_price {
 +            CompetitivePosition::PriceLeader
 +        } else if our_price > max_competitor_price {
 +            CompetitivePosition::Premium
 +        } else if our_price < avg_competitor_price {
 +            CompetitivePosition::BelowAverage
 +        } else {
 +            CompetitivePosition::AboveAverage
 +        };
++
 +        Some(CompetitiveBenchmark {
 +            our_price,
 +            average_competitor_price: avg_competitor_price,
 +            price_range: (min_competitor_price, max_competitor_price),
 +            market_position: position,
 +            price_gap: our_price - avg_competitor_price,
 +            recommendations: self.generate_competitive_recommendations(our_price, avg_competitor_price, &position),
 +        })
 +    }
++
 +    async fn calculate_optimal_pricing(&mut self, region_id: &str, market: &RegionalMarket) -> Result<PriceAdjustment, Box<dyn std::error::Error>> {
 +        // Demand-based adjustment
 +        let demand_multiplier = self.calculate_demand_adjustment(market);
++
 +        // Competition-based adjustment
 +        let competition_multiplier = self.calculate_competition_adjustment(market);
++
 +        // Cost-based adjustment
 +        let cost_multiplier = self.calculate_cost_adjustment(market);
++
 +        // Regulatory adjustment
 +        let regulatory_multiplier = self.calculate_regulatory_adjustment(market);
++
 +        // Currency adjustment
 +        let currency_multiplier = self.calculate_currency_adjustment(market);
++
 +        // Combine all adjustments
 +        let final_multiplier = demand_multiplier * competition_multiplier *
 +                              cost_multiplier * regulatory_multiplier * currency_multiplier;
++
 +        // Calculate confidence score
 +        let confidence_score = self.calculate_pricing_confidence(market, final_multiplier);
++
 +        Ok(PriceAdjustment {
 +            base_multiplier: 1.0,
 +            demand_adjustment: demand_multiplier,
 +            competition_adjustment: competition_multiplier,
 +            cost_adjustment: cost_multiplier,
 +            regulatory_adjustment: regulatory_multiplier,
 +            currency_adjustment: currency_multiplier,
 +            final_multiplier,
 +            confidence_score,
 +            last_updated: Instant::now(),
 +        })
 +    }
++
 +    fn calculate_demand_adjustment(&self, market: &RegionalMarket) -> f64 {
 +        let growth_factor = 1.0 + (market.market_conditions.growth_rate * 0.1);
 +        let maturity_factor = match market.market_conditions.market_maturity {
 +            MarketMaturity::Emerging => 1.2,      // Higher prices in emerging markets
 +            MarketMaturity::Developing => 1.1,
 +            MarketMaturity::Mature => 1.0,
 +            MarketMaturity::Saturated => 0.9,     // Lower prices in saturated markets
 +        };
++
 +        growth_factor * maturity_factor
 +    }
++
 +    fn calculate_competition_adjustment(&self, market: &RegionalMarket) -> f64 {
 +        match market.market_conditions.competition_level {
 +            CompetitionLevel::Monopolistic => 1.3,       // Can charge premium
 +            CompetitionLevel::Oligopolistic => 1.1,      // Moderate premium
 +            CompetitionLevel::Competitive => 1.0,        // Market pricing
 +            CompetitionLevel::PerfectCompetition => 0.9, // Discount pricing
 +        }
 +    }
++
 +    fn calculate_cost_adjustment(&self, market: &RegionalMarket) -> f64 {
 +        market.infrastructure_costs.total_cost_index
 +    }
++
 +    fn calculate_regulatory_adjustment(&self, market: &RegionalMarket) -> f64 {
 +        let complexity_penalty = 1.0 + (market.regulatory_environment.compliance_complexity * 0.1);
 +        let tax_adjustment = 1.0 + (market.regulatory_environment.tax_implications.corporate_tax_rate * 0.5);
++
 +        complexity_penalty * tax_adjustment
 +    }
++
 +    fn calculate_currency_adjustment(&self, market: &RegionalMarket) -> f64 {
 +        // Adjust for currency stability and purchasing power
 +        let stability_factor = market.economic_factors.currency_stability;
 +        let ppp_adjustment = market.economic_factors.purchasing_power_parity;
++
 +        (stability_factor + ppp_adjustment) / 2.0
 +    }
++
 +    fn calculate_pricing_confidence(&self, market: &RegionalMarket, multiplier: f64) -> f64 {
 +        let data_quality = market.market_conditions.economic_stability;
 +        let volatility_penalty = 1.0 - market.market_conditions.market_volatility;
 +        let adjustment_reasonableness = if multiplier > 0.5 && multiplier < 2.0 { 1.0 } else { 0.7 };
++
 +        (data_quality + volatility_penalty + adjustment_reasonableness) / 3.0
 +    }
++
 +    async fn record_price_update(&mut self, region_id: &str, price_adjustment: &PriceAdjustment) {
 +        let history = self.price_history.entry(region_id.to_string()).or_insert_with(Vec::new);
++
 +        let old_price = history.last()
 +            .map(|update| update.new_price)
 +            .unwrap_or(self.global_baseline.base_storage_price);
++
 +        let new_price = self.global_baseline.base_storage_price * price_adjustment.final_multiplier;
++
 +        let price_update = PriceUpdate {
 +            timestamp: Instant::now(),
 +            old_price,
 +            new_price,
 +            reason: format!("Optimized pricing: demand={:.2}, competition={:.2}, cost={:.2}",
 +                           price_adjustment.demand_adjustment,
 +                           price_adjustment.competition_adjustment,
 +                           price_adjustment.cost_adjustment),
 +            impact_assessment: PriceImpactAssessment {
 +                expected_demand_change: self.estimate_demand_impact(old_price, new_price),
 +                expected_revenue_change: self.estimate_revenue_impact(old_price, new_price),
 +                competitor_response_likelihood: 0.7,
 +                customer_satisfaction_impact: if new_price < old_price { 0.1 } else { -0.1 },
 +            },
 +        };
++
 +        history.push(price_update);
++
 +        // Keep only last 100 price updates per region
 +        if history.len() > 100 {
 +            history.drain(0..history.len() - 100);
 +        }
 +    }
++
 +    fn estimate_current_demand(&self, region_id: &str) -> f64 {
 +        // Placeholder implementation
 +        self.regional_markets.get(region_id)
 +            .and_then(|market| market.demand_patterns.historical_demand.last())
 +            .map(|dp| dp.demand_volume)
 +            .unwrap_or(1000.0)
 +    }
++
 +    fn estimate_competitor_price(&self, _competitor_name: &str) -> f64 {
 +        // Placeholder implementation - would query competitor pricing APIs
 +        self.global_baseline.base_storage_price * 1.1
 +    }
++
 +    fn calculate_optimal_price_range(&self, sensitivity: f64, pressure: f64) -> (f64, f64) {
 +        let base = self.global_baseline.base_storage_price;
 +        let range_factor = 0.2 * (1.0 - sensitivity) * (1.0 - pressure);
++
 +        (base * (1.0 - range_factor), base * (1.0 + range_factor))
 +    }
++
 +    fn generate_pricing_recommendation(&self, sensitivity: f64, pressure: f64, elasticity: f64) -> PricingRecommendation {
 +        if sensitivity > 0.8 && pressure > 0.7 {
 +            PricingRecommendation::AggressivePricing
 +        } else if sensitivity < 0.3 && elasticity < -0.5 {
 +            PricingRecommendation::PremiumPricing
 +        } else if pressure > 0.6 {
 +            PricingRecommendation::CompetitivePricing
 +        } else {
 +            PricingRecommendation::ValueBasedPricing
 +        }
 +    }
++
 +    fn generate_competitive_recommendations(&self, our_price: f64, avg_price: f64, position: &CompetitivePosition) -> Vec<String> {
 +        let mut recommendations = Vec::new();
++
 +        match position {
 +            CompetitivePosition::PriceLeader => {
 +                recommendations.push("Consider gradual price increases to capture value".to_string());
 +                recommendations.push("Monitor competitor responses closely".to_string());
 +            }
 +            CompetitivePosition::Premium => {
 +                recommendations.push("Justify premium with superior service quality".to_string());
 +                recommendations.push("Consider value-added services".to_string());
 +            }
 +            CompetitivePosition::BelowAverage => {
 +                recommendations.push("Opportunity to increase prices towards market average".to_string());
 +            }
 +            CompetitivePosition::AboveAverage => {
 +                recommendations.push("Monitor price sensitivity closely".to_string());
 +                recommendations.push("Emphasize quality and reliability".to_string());
 +            }
 +        }
++
 +        let price_gap_pct = ((our_price - avg_price) / avg_price * 100.0).abs();
 +        if price_gap_pct > 15.0 {
 +            recommendations.push(format!("Significant price gap of {:.1}% - review pricing strategy", price_gap_pct));
 +        }
++
 +        recommendations
 +    }
++
 +    fn estimate_demand_impact(&self, old_price: f64, new_price: f64) -> f64 {
 +        if old_price == 0.0 { return 0.0; }
 +        let price_change = (new_price - old_price) / old_price;
 +        -1.2 * price_change // Assume price elasticity of -1.2
 +    }
++
 +    fn estimate_revenue_impact(&self, old_price: f64, new_price: f64) -> f64 {
 +        let price_change = (new_price - old_price) / old_price;
 +        let demand_change = self.estimate_demand_impact(old_price, new_price);
++
 +        // Revenue = Price × Demand
 +        // Revenue change = (1 + price_change) × (1 + demand_change) - 1
 +        (1.0 + price_change) * (1.0 + demand_change) - 1.0
 +    }
++
 +    fn initialize_regional_markets() -> HashMap<String, RegionalMarket> {
 +        let mut markets = HashMap::new();
++
 +        // Add major regional markets
 +        markets.insert("us-east".to_string(), Self::create_us_east_market());
 +        markets.insert("us-west".to_string(), Self::create_us_west_market());
 +        markets.insert("europe".to_string(), Self::create_europe_market());
 +        markets.insert("asia-pacific".to_string(), Self::create_asia_pacific_market());
 +        markets.insert("south-america".to_string(), Self::create_south_america_market());
 +        markets.insert("middle-east-africa".to_string(), Self::create_mea_market());
++
 +        markets
 +    }
++
 +    fn create_us_east_market() -> RegionalMarket {
 +        RegionalMarket {
 +            region_id: "us-east".to_string(),
 +            region_name: "US East Coast".to_string(),
 +            market_conditions: MarketConditions {
 +                market_maturity: MarketMaturity::Mature,
 +                competition_level: CompetitionLevel::Competitive,
 +                customer_segments: vec![
 +                    CustomerSegment {
 +                        segment_id: "enterprise".to_string(),
 +                        segment_name: "Enterprise".to_string(),
 +                        price_sensitivity: 0.3,
 +                        quality_preference: 0.9,
 +                        adoption_rate: 0.8,
 +                        average_spend: 5000.0,
 +                        growth_potential: 0.4,
 +                    },
 +                    CustomerSegment {
 +                        segment_id: "startup".to_string(),
 +                        segment_name: "Startups".to_string(),
 +                        price_sensitivity: 0.8,
 +                        quality_preference: 0.6,
 +                        adoption_rate: 0.9,
 +                        average_spend: 500.0,
 +                        growth_potential: 0.9,
 +                    },
 +                ],
 +                growth_rate: 0.15,
 +                market_volatility: 0.2,
 +                seasonal_patterns: SeasonalityData::default(),
 +                economic_stability: 0.9,
 +            },
 +            price_adjustments: PriceAdjustment::default(),
 +            economic_factors: EconomicFactors {
 +                gdp_per_capita: 65000.0,
 +                purchasing_power_parity: 1.0,
 +                inflation_rate: 0.03,
 +                currency_stability: 0.95,
 +                internet_penetration: 0.95,
 +                digital_adoption_index: 0.9,
 +                business_environment_rank: 15,
 +                technology_readiness: 0.95,
 +            },
 +            infrastructure_costs: InfrastructureCosts {
 +                datacenter_costs: DatacenterCosts {
 +                    real_estate_cost_per_sqm: 500.0,
 +                    construction_cost_multiplier: 1.0,
 +                    equipment_import_duties: 0.0,
 +                    maintenance_cost_multiplier: 1.0,
 +                },
 +                network_costs: NetworkCosts {
 +                    fiber_deployment_cost: 50000.0,
 +                    international_bandwidth_cost: 1.0,
 +                    local_peering_costs: 100.0,
 +                    routing_equipment_costs: 10000.0,
 +                },
 +                energy_costs: EnergyCosts {
 +                    electricity_cost_per_kwh: 0.12,
 +                    renewable_energy_availability: 0.6,
 +                    grid_stability_score: 0.95,
 +                    carbon_tax_rate: 0.0,
 +                },
 +                labor_costs: LaborCosts {
 +                    average_tech_salary: 120000.0,
 +                    benefits_multiplier: 1.4,
 +                    training_costs: 10000.0,
 +                    turnover_rate: 0.15,
 +                },
 +                regulatory_costs: RegulatoryCosts {
 +                    compliance_costs: 50000.0,
 +                    licensing_fees: 10000.0,
 +                    audit_costs: 25000.0,
 +                    data_protection_costs: 20000.0,
 +                },
 +                total_cost_index: 1.0,
 +            },
 +            competitive_landscape: CompetitiveLandscape::default(),
 +            demand_patterns: DemandPatterns::default(),
 +            supply_characteristics: SupplyCharacteristics::default(),
 +            regulatory_environment: RegulatoryEnvironment::default(),
 +        }
 +    }
++
 +    // Simplified implementations for other regions
 +    fn create_us_west_market() -> RegionalMarket {
 +        let mut market = Self::create_us_east_market();
 +        market.region_id = "us-west".to_string();
 +        market.region_name = "US West Coast".to_string();
 +        market.infrastructure_costs.total_cost_index = 1.2; // Higher costs
 +        market
 +    }
++
 +    fn create_europe_market() -> RegionalMarket {
 +        let mut market = Self::create_us_east_market();
 +        market.region_id = "europe".to_string();
 +        market.region_name = "Europe".to_string();
 +        market.economic_factors.purchasing_power_parity = 0.85;
 +        market.infrastructure_costs.total_cost_index = 1.1;
 +        market.regulatory_environment.compliance_complexity = 0.8; // GDPR complexity
 +        market
 +    }
++
 +    fn create_asia_pacific_market() -> RegionalMarket {
 +        let mut market = Self::create_us_east_market();
 +        market.region_id = "asia-pacific".to_string();
 +        market.region_name = "Asia Pacific".to_string();
 +        market.market_conditions.market_maturity = MarketMaturity::Developing;
 +        market.market_conditions.growth_rate = 0.25; // Higher growth
 +        market.economic_factors.purchasing_power_parity = 0.6;
 +        market.infrastructure_costs.total_cost_index = 0.8; // Lower costs
 +        market
 +    }
++
 +    fn create_south_america_market() -> RegionalMarket {
 +        let mut market = Self::create_us_east_market();
 +        market.region_id = "south-america".to_string();
 +        market.region_name = "South America".to_string();
 +        market.market_conditions.market_maturity = MarketMaturity::Emerging;
 +        market.economic_factors.purchasing_power_parity = 0.5;
 +        market.economic_factors.currency_stability = 0.6;
 +        market.infrastructure_costs.total_cost_index = 0.7;
 +        market
 +    }
++
 +    fn create_mea_market() -> RegionalMarket {
 +        let mut market = Self::create_us_east_market();
 +        market.region_id = "middle-east-africa".to_string();
 +        market.region_name = "Middle East & Africa".to_string();
 +        market.market_conditions.market_maturity = MarketMaturity::Emerging;
 +        market.economic_factors.purchasing_power_parity = 0.4;
 +        market.infrastructure_costs.total_cost_index = 0.9;
 +        market.regulatory_environment.regulatory_risk = 0.7;
 +        market
 +    }
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PriceSensitivityAnalysis {
 +    pub customer_sensitivity: f64,
 +    pub competitive_pressure: f64,
 +    pub price_elasticity: f64,
 +    pub optimal_price_range: (f64, f64),
 +    pub recommendation: PricingRecommendation,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum PricingRecommendation {
 +    AggressivePricing,    // Low prices to capture market share
 +    CompetitivePricing,   // Match competitor prices
 +    ValueBasedPricing,    // Price based on value delivered
 +    PremiumPricing,       // High prices for premium positioning
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CompetitiveBenchmark {
 +    pub our_price: f64,
 +    pub average_competitor_price: f64,
 +    pub price_range: (f64, f64),
 +    pub market_position: CompetitivePosition,
 +    pub price_gap: f64,
 +    pub recommendations: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum CompetitivePosition {
 +    PriceLeader,    // Lowest price in market
 +    BelowAverage,   // Below average price
 +    AboveAverage,   // Above average price
 +    Premium,        // Highest price in market
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct GeographicPricing {
 +    pub region_prices: HashMap<String, f64>,
 +    pub price_rationale: HashMap<String, String>,
 +    pub optimization_score: f64,
 +    pub last_optimization: Instant,
 +}
++
 +impl Default for SeasonalityData {
 +    fn default() -> Self {
 +        Self {
 +            monthly_factors: [1.0; 12],
 +            weekly_factors: [1.0; 7],
 +            holiday_factors: HashMap::new(),
 +            business_cycle_impact: 1.0,
 +        }
 +    }
 +}
++
 +impl Default for PriceAdjustment {
 +    fn default() -> Self {
 +        Self {
 +            base_multiplier: 1.0,
 +            demand_adjustment: 1.0,
 +            competition_adjustment: 1.0,
 +            cost_adjustment: 1.0,
 +            regulatory_adjustment: 1.0,
 +            currency_adjustment: 1.0,
 +            final_multiplier: 1.0,
 +            confidence_score: 0.5,
 +            last_updated: Instant::now(),
 +        }
 +    }
 +}
++
 +impl Default for GlobalBaseline {
 +    fn default() -> Self {
 +        Self {
 +            base_storage_price: 0.001, // ZEPH per GB per hour
 +            base_bandwidth_price: 0.01, // ZEPH per Mbps per hour
 +            base_compute_price: 0.1,   // ZEPH per core per hour
 +            global_average_costs: 1.0,
 +            reference_currency: "USD".to_string(),
 +        }
 +    }
 +}
++
 +impl Default for CompetitiveLandscape {
 +    fn default() -> Self {
 +        Self {
 +            major_competitors: Vec::new(),
 +            market_share_distribution: HashMap::new(),
 +            pricing_strategies: HashMap::new(),
 +            competitive_advantages: Vec::new(),
 +            market_differentiation: MarketDifferentiation {
 +                unique_value_propositions: vec!["Zero-knowledge encryption".to_string()],
 +                target_customer_segments: vec!["Privacy-conscious users".to_string()],
 +                positioning_strategy: PositioningStrategy::InnovationLeader,
 +                brand_perception: BrandPerception {
 +                    reliability_score: 0.8,
 +                    innovation_score: 0.9,
 +                    customer_satisfaction: 0.8,
 +                    market_reputation: 0.7,
 +                    trust_index: 0.8,
 +                },
 +            },
 +        }
 +    }
 +}
++
 +impl Default for DemandPatterns {
 +    fn default() -> Self {
 +        Self {
 +            historical_demand: Vec::new(),
 +            seasonal_factors: SeasonalityData::default(),
 +            growth_trends: GrowthTrends {
 +                short_term_growth: 0.05,
 +                medium_term_growth: 0.15,
 +                long_term_growth: 0.25,
 +                growth_drivers: vec!["Digital transformation".to_string()],
 +                growth_constraints: vec!["Economic uncertainty".to_string()],
 +            },
 +            demand_elasticity: DemandElasticity {
 +                price_elasticity: -1.2,
 +                income_elasticity: 0.8,
 +                substitution_elasticity: 0.6,
 +                quality_elasticity: 0.4,
 +            },
 +            customer_behavior: CustomerBehavior {
 +                switching_costs: 0.3,
 +                loyalty_index: 0.6,
 +                word_of_mouth_factor: 0.4,
 +                decision_factors: vec![
 +                    DecisionFactor {
 +                        factor_name: "Price".to_string(),
 +                        importance_weight: 0.4,
 +                        satisfaction_score: 0.7,
 +                    },
 +                    DecisionFactor {
 +                        factor_name: "Security".to_string(),
 +                        importance_weight: 0.3,
 +                        satisfaction_score: 0.9,
 +                    },
 +                ],
 +            },
 +        }
 +    }
 +}
++
 +impl Default for SupplyCharacteristics {
 +    fn default() -> Self {
 +        Self {
 +            node_density: 0.001,
 +            infrastructure_quality: 0.8,
 +            node_reliability: 0.95,
 +            capacity_utilization: 0.6,
 +            expansion_potential: 0.7,
 +            technical_expertise: 0.8,
 +        }
 +    }
 +}
++
 +impl Default for RegulatoryEnvironment {
 +    fn default() -> Self {
 +        Self {
 +            data_sovereignty_requirements: vec!["Local data residency".to_string()],
 +            privacy_regulations: vec!["GDPR".to_string(), "CCPA".to_string()],
 +            content_restrictions: Vec::new(),
 +            tax_implications: TaxStructure {
 +                corporate_tax_rate: 0.21,
 +                digital_services_tax: 0.03,
 +                vat_gst_rate: 0.20,
 +                withholding_tax_rate: 0.0,
 +                tax_incentives: vec!["R&D credits".to_string()],
 +            },
 +            compliance_complexity: 0.5,
 +            regulatory_risk: 0.3,
 +        }
 +    }
 +}
++
 +impl OptimizationAlgorithms {
 +    fn new() -> Self {
 +        Self {
 +            demand_based_optimizer: DemandOptimizer {
 +                elasticity_models: HashMap::new(),
 +                demand_forecasts: HashMap::new(),
 +            },
 +            competition_based_optimizer: CompetitionOptimizer {
 +                competitor_monitoring: CompetitorMonitoring {
 +                    tracked_competitors: Vec::new(),
 +                    price_alerts: Vec::new(),
 +                },
 +                pricing_game_models: HashMap::new(),
 +            },
 +            cost_based_optimizer: CostOptimizer {
 +                cost_models: HashMap::new(),
 +                efficiency_targets: HashMap::new(),
 +            },
 +            value_based_optimizer: ValueOptimizer {
 +                value_perception_models: HashMap::new(),
 +                willingness_to_pay_curves: HashMap::new(),
 +            },
 +        }
 +    }
 +}
++
 +impl MarketIntelligence {
 +    fn new() -> Self {
 +        Self {
 +            data_sources: Vec::new(),
 +            intelligence_reports: HashMap::new(),
 +            trend_analysis: TrendAnalysisEngine {
 +                trend_models: HashMap::new(),
 +                prediction_accuracy: HashMap::new(),
 +            },
 +        }
 +    }
 +}

src/market/sla_manager.rsadded

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 +//! SLA Management and Enforcement
 +//!
 +//! Service Level Agreement monitoring, enforcement, and automated remediation
++
 +use serde::{Deserialize, Serialize};
 +use std::collections::HashMap;
 +use tokio::time::{Duration, Instant};
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ServiceLevelAgreement {
 +    pub sla_id: String,
 +    pub contract_id: String,
 +    pub customer_id: String,
 +    pub provider_id: String,
 +    pub service_type: ServiceType,
 +    pub sla_terms: Vec<SLATerm>,
 +    pub monitoring_configuration: MonitoringConfiguration,
 +    pub enforcement_policies: Vec<EnforcementPolicy>,
 +    pub remediation_actions: Vec<RemediationAction>,
 +    pub reporting_requirements: ReportingRequirements,
 +    pub effective_period: EffectivePeriod,
 +    pub renewal_terms: RenewalTerms,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ServiceType {
 +    Storage {
 +        capacity_gb: u64,
 +        performance_tier: String,
 +    },
 +    Bandwidth {
 +        capacity_mbps: u64,
 +        latency_class: String,
 +    },
 +    Compute {
 +        cpu_cores: u32,
 +        memory_gb: u32,
 +    },
 +    Hybrid {
 +        services: Vec<ServiceType>,
 +    },
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct SLATerm {
 +    pub term_id: String,
 +    pub metric_name: String,
 +    pub target_value: f64,
 +    pub measurement_unit: String,
 +    pub measurement_method: MeasurementMethod,
 +    pub measurement_frequency: Duration,
 +    pub evaluation_window: Duration,
 +    pub threshold_type: ThresholdType,
 +    pub exclusions: Vec<SLAExclusion>,
 +    pub penalty_structure: PenaltyStructure,
 +    pub credit_structure: CreditStructure,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum MeasurementMethod {
 +    Average,
 +    Percentile { percentile: f64 },
 +    Maximum,
 +    Minimum,
 +    Sum,
 +    Count,
 +    Availability,
 +    Custom { formula: String },
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ThresholdType {
 +    MinimumRequired,  // Must be >= target
 +    MaximumAllowed,   // Must be <= target
 +    ExactMatch,       // Must equal target
 +    Range { min: f64, max: f64 }, // Must be within range
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct SLAExclusion {
 +    pub exclusion_type: ExclusionType,
 +    pub description: String,
 +    pub conditions: Vec<String>,
 +    pub maximum_duration: Duration,
 +    pub notification_required: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ExclusionType {
 +    ScheduledMaintenance,
 +    EmergencyMaintenance,
 +    ForceMAjeure,
 +    NetworkProviderIssue,
 +    ThirdPartyDependency,
 +    CustomerCausedOutage,
 +    SecurityIncident,
 +    GovernmentAction,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PenaltyStructure {
 +    pub penalty_type: PenaltyType,
 +    pub penalty_calculation: PenaltyCalculation,
 +    pub maximum_penalty: Option<f64>,
 +    pub penalty_escalation: Vec<EscalationTier>,
 +    pub penalty_waiver_conditions: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum PenaltyType {
 +    ServiceCredit,     // Credit applied to customer account
 +    MonetaryPenalty,   // Direct monetary penalty
 +    ServiceExtension,  // Extended service period
 +    PerformanceBonus,  // Bonus performance allocation
 +    CustomRemediation, // Custom remediation action
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PenaltyCalculation {
 +    pub base_amount: f64,
 +    pub calculation_method: CalculationMethod,
 +    pub compounding_rules: CompoundingRules,
 +    pub grace_period: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum CalculationMethod {
 +    FixedAmount,
 +    PercentageOfService,
 +    PercentageOfContract,
 +    ProportionalToViolation,
 +    TieredBased,
 +    TimeBasedLinear,
 +    ExponentialBased,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CompoundingRules {
 +    pub compounding_enabled: bool,
 +    pub compounding_frequency: Duration,
 +    pub maximum_compounding_periods: u32,
 +    pub compounding_rate: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct EscalationTier {
 +    pub tier_level: u32,
 +    pub violation_threshold: f64,
 +    pub penalty_multiplier: f64,
 +    pub additional_actions: Vec<String>,
 +    pub escalation_contacts: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CreditStructure {
 +    pub credit_type: CreditType,
 +    pub credit_calculation: CreditCalculation,
 +    pub maximum_credit: Option<f64>,
 +    pub credit_application_method: CreditApplicationMethod,
 +    pub credit_expiration: Option<Duration>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum CreditType {
 +    ServiceCredit,
 +    AccountCredit,
 +    FutureServiceDiscount,
 +    AdditionalResources,
 +    PrioritySupport,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CreditCalculation {
 +    pub base_credit_rate: f64,
 +    pub calculation_basis: CreditBasis,
 +    pub minimum_credit: f64,
 +    pub credit_multipliers: Vec<CreditMultiplier>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum CreditBasis {
 +    DowntimeMinutes,
 +    PerformanceShortfall,
 +    ContractValue,
 +    ServiceUsage,
 +    ViolationSeverity,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CreditMultiplier {
 +    pub condition: String,
 +    pub multiplier: f64,
 +    pub applicable_period: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum CreditApplicationMethod {
 +    Automatic,
 +    RequestBased,
 +    BillingCycleEnd,
 +    ContractRenewal,
 +    Manual,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct MonitoringConfiguration {
 +    pub monitoring_agents: Vec<MonitoringAgent>,
 +    pub data_collection: DataCollectionConfig,
 +    pub alert_configuration: AlertConfiguration,
 +    pub dashboard_settings: DashboardSettings,
 +    pub audit_requirements: AuditRequirements,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct MonitoringAgent {
 +    pub agent_id: String,
 +    pub agent_type: AgentType,
 +    pub deployment_location: String,
 +    pub monitoring_scope: MonitoringScope,
 +    pub collection_frequency: Duration,
 +    pub data_retention_period: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum AgentType {
 +    SyntheticTransaction,
 +    RealUserMonitoring,
 +    InfrastructureAgent,
 +    ApplicationAgent,
 +    NetworkProbe,
 +    SecurityScanner,
 +    PerformanceProfiler,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct MonitoringScope {
 +    pub geographic_regions: Vec<String>,
 +    pub service_endpoints: Vec<String>,
 +    pub metric_categories: Vec<MetricCategory>,
 +    pub monitoring_depth: MonitoringDepth,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum MetricCategory {
 +    Availability,
 +    Performance,
 +    Reliability,
 +    Security,
 +    Capacity,
 +    Quality,
 +    UserExperience,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum MonitoringDepth {
 +    Basic,       // Essential metrics only
 +    Standard,    // Comprehensive monitoring
 +    Deep,        // Detailed diagnostics
 +    Custom,      // Tailored monitoring
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct DataCollectionConfig {
 +    pub collection_protocols: Vec<String>,
 +    pub data_format: DataFormat,
 +    pub encryption_requirements: EncryptionConfig,
 +    pub data_validation: ValidationConfig,
 +    pub storage_requirements: StorageConfig,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum DataFormat {
 +    JSON,
 +    XML,
 +    CSV,
 +    Binary,
 +    Custom { schema: String },
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct EncryptionConfig {
 +    pub encryption_in_transit: bool,
 +    pub encryption_at_rest: bool,
 +    pub key_management: KeyManagementConfig,
 +    pub compliance_standards: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct KeyManagementConfig {
 +    pub key_rotation_period: Duration,
 +    pub key_strength: KeyStrength,
 +    pub key_escrow_required: bool,
 +    pub multi_party_control: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum KeyStrength {
 +    AES128,
 +    AES256,
 +    RSA2048,
 +    RSA4096,
 +    ECC256,
 +    ECC384,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ValidationConfig {
 +    pub data_integrity_checks: bool,
 +    pub anomaly_detection: bool,
 +    pub completeness_validation: bool,
 +    pub consistency_validation: bool,
 +    pub validation_rules: Vec<ValidationRule>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ValidationRule {
 +    pub rule_name: String,
 +    pub rule_expression: String,
 +    pub severity_level: ValidationSeverity,
 +    pub action_on_failure: ValidationAction,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ValidationSeverity {
 +    Info,
 +    Warning,
 +    Error,
 +    Critical,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ValidationAction {
 +    Log,
 +    Alert,
 +    Reject,
 +    Quarantine,
 +    AutoCorrect,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct StorageConfig {
 +    pub primary_storage: StorageLocation,
 +    pub backup_storage: Vec<StorageLocation>,
 +    pub retention_policy: RetentionPolicy,
 +    pub compression_enabled: bool,
 +    pub deduplication_enabled: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct StorageLocation {
 +    pub location_type: LocationType,
 +    pub geographic_region: String,
 +    pub storage_class: StorageClass,
 +    pub replication_factor: u8,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum LocationType {
 +    OnPremise,
 +    Cloud,
 +    Hybrid,
 +    Edge,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum StorageClass {
 +    Hot,
 +    Warm,
 +    Cold,
 +    Archive,
 +    DeepArchive,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RetentionPolicy {
 +    pub default_retention: Duration,
 +    pub extended_retention_conditions: Vec<RetentionCondition>,
 +    pub deletion_policy: DeletionPolicy,
 +    pub legal_hold_support: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RetentionCondition {
 +    pub condition_name: String,
 +    pub trigger_criteria: String,
 +    pub retention_period: Duration,
 +    pub priority_level: u8,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct DeletionPolicy {
 +    pub secure_deletion: bool,
 +    pub deletion_verification: bool,
 +    pub deletion_audit_trail: bool,
 +    pub customer_notification: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AlertConfiguration {
 +    pub alert_rules: Vec<AlertRule>,
 +    pub notification_channels: Vec<NotificationChannel>,
 +    pub escalation_matrix: EscalationMatrix,
 +    pub alert_correlation: AlertCorrelationConfig,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AlertRule {
 +    pub rule_id: String,
 +    pub rule_name: String,
 +    pub condition: AlertCondition,
 +    pub severity: AlertSeverity,
 +    pub frequency_limits: FrequencyLimits,
 +    pub suppression_rules: Vec<SuppressionRule>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AlertCondition {
 +    pub metric_name: String,
 +    pub operator: ComparisonOperator,
 +    pub threshold_value: f64,
 +    pub evaluation_window: Duration,
 +    pub minimum_breach_duration: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ComparisonOperator {
 +    GreaterThan,
 +    LessThan,
 +    Equals,
 +    NotEquals,
 +    GreaterThanOrEquals,
 +    LessThanOrEquals,
 +    Contains,
 +    NotContains,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum AlertSeverity {
 +    Info,
 +    Low,
 +    Medium,
 +    High,
 +    Critical,
 +    Emergency,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct FrequencyLimits {
 +    pub max_alerts_per_hour: u32,
 +    pub max_alerts_per_day: u32,
 +    pub cooldown_period: Duration,
 +    pub burst_threshold: u32,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct SuppressionRule {
 +    pub suppression_condition: String,
 +    pub suppression_duration: Duration,
 +    pub affected_severities: Vec<AlertSeverity>,
 +    pub bypass_conditions: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct NotificationChannel {
 +    pub channel_id: String,
 +    pub channel_type: ChannelType,
 +    pub configuration: ChannelConfiguration,
 +    pub delivery_preferences: DeliveryPreferences,
 +    pub backup_channels: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ChannelType {
 +    Email,
 +    SMS,
 +    Phone,
 +    Slack,
 +    Teams,
 +    Discord,
 +    Webhook,
 +    SNMP,
 +    Syslog,
 +    PagerDuty,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ChannelConfiguration {
 +    pub endpoint: String,
 +    pub authentication: AuthenticationConfig,
 +    pub message_format: MessageFormat,
 +    pub retry_policy: RetryPolicy,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AuthenticationConfig {
 +    pub auth_type: AuthenticationType,
 +    pub credentials: HashMap<String, String>,
 +    pub token_refresh_interval: Option<Duration>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum AuthenticationType {
 +    None,
 +    BasicAuth,
 +    BearerToken,
 +    APIKey,
 +    OAuth2,
 +    Certificate,
 +    Custom,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum MessageFormat {
 +    PlainText,
 +    HTML,
 +    Markdown,
 +    JSON,
 +    XML,
 +    Custom { template: String },
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RetryPolicy {
 +    pub max_retries: u32,
 +    pub initial_delay: Duration,
 +    pub backoff_multiplier: f64,
 +    pub max_delay: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct DeliveryPreferences {
 +    pub delivery_schedule: DeliverySchedule,
 +    pub message_aggregation: MessageAggregation,
 +    pub priority_handling: PriorityHandling,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct DeliverySchedule {
 +    pub business_hours_only: bool,
 +    pub time_zone: String,
 +    pub blackout_periods: Vec<BlackoutPeriod>,
 +    pub preferred_delivery_times: Vec<TimeRange>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BlackoutPeriod {
 +    pub name: String,
 +    pub start_time: Instant,
 +    pub end_time: Instant,
 +    pub recurring: bool,
 +    pub exceptions: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct TimeRange {
 +    pub start_hour: u8,
 +    pub end_hour: u8,
 +    pub days_of_week: Vec<u8>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct MessageAggregation {
 +    pub aggregation_enabled: bool,
 +    pub aggregation_window: Duration,
 +    pub max_messages_per_aggregate: u32,
 +    pub aggregation_strategy: AggregationStrategy,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum AggregationStrategy {
 +    Count,
 +    Summary,
 +    Detailed,
 +    Intelligent,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PriorityHandling {
 +    pub priority_bypass: bool,
 +    pub priority_thresholds: HashMap<AlertSeverity, Duration>,
 +    pub escalation_on_no_ack: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct EscalationMatrix {
 +    pub escalation_levels: Vec<EscalationLevel>,
 +    pub escalation_triggers: Vec<EscalationTrigger>,
 +    pub de_escalation_rules: Vec<DeEscalationRule>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct EscalationLevel {
 +    pub level: u32,
 +    pub level_name: String,
 +    pub contacts: Vec<ContactInfo>,
 +    pub escalation_delay: Duration,
 +    pub required_acknowledgment: bool,
 +    pub authority_level: AuthorityLevel,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ContactInfo {
 +    pub contact_id: String,
 +    pub name: String,
 +    pub role: String,
 +    pub contact_methods: Vec<ContactMethod>,
 +    pub availability_schedule: AvailabilitySchedule,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ContactMethod {
 +    pub method_type: ChannelType,
 +    pub contact_details: String,
 +    pub priority: u8,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AvailabilitySchedule {
 +    pub timezone: String,
 +    pub business_hours: Vec<TimeRange>,
 +    pub on_call_schedule: Vec<OnCallPeriod>,
 +    pub vacation_periods: Vec<VacationPeriod>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct OnCallPeriod {
 +    pub start_time: Instant,
 +    pub end_time: Instant,
 +    pub primary_contact: bool,
 +    pub escalation_level: u32,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct VacationPeriod {
 +    pub start_date: Instant,
 +    pub end_date: Instant,
 +    pub backup_contact: Option<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum AuthorityLevel {
 +    Observer,
 +    Responder,
 +    DecisionMaker,
 +    ExecutiveEscalation,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct EscalationTrigger {
 +    pub trigger_name: String,
 +    pub trigger_conditions: Vec<String>,
 +    pub trigger_delay: Duration,
 +    pub target_escalation_level: u32,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct DeEscalationRule {
 +    pub rule_name: String,
 +    pub de_escalation_conditions: Vec<String>,
 +    pub target_level: u32,
 +    pub notification_required: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AlertCorrelationConfig {
 +    pub correlation_enabled: bool,
 +    pub correlation_window: Duration,
 +    pub correlation_rules: Vec<CorrelationRule>,
 +    pub root_cause_analysis: RootCauseAnalysisConfig,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CorrelationRule {
 +    pub rule_name: String,
 +    pub pattern_matching: PatternMatching,
 +    pub correlation_logic: CorrelationLogic,
 +    pub output_action: CorrelationAction,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PatternMatching {
 +    pub pattern_type: PatternType,
 +    pub pattern_definition: String,
 +    pub match_threshold: f64,
 +    pub time_window: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum PatternType {
 +    Sequence,
 +    Frequency,
 +    Anomaly,
 +    Correlation,
 +    Clustering,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum CorrelationLogic {
 +    AND,
 +    OR,
 +    NOT,
 +    XOR,
 +    Weighted,
 +    Fuzzy,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum CorrelationAction {
 +    CreateIncident,
 +    SuppressAlerts,
 +    EscalateAlert,
 +    TriggerAutomation,
 +    UpdateDashboard,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RootCauseAnalysisConfig {
 +    pub rca_enabled: bool,
 +    pub analysis_algorithms: Vec<RCAAlgorithm>,
 +    pub analysis_depth: u32,
 +    pub confidence_threshold: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum RCAAlgorithm {
 +    DependencyGraph,
 +    StatisticalAnalysis,
 +    MachineLearning,
 +    RuleBasedInference,
 +    TimeSeriesAnalysis,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct DashboardSettings {
 +    pub dashboard_layouts: Vec<DashboardLayout>,
 +    pub refresh_intervals: HashMap<String, Duration>,
 +    pub access_controls: AccessControlConfig,
 +    pub customization_options: CustomizationOptions,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct DashboardLayout {
 +    pub layout_name: String,
 +    pub widgets: Vec<WidgetConfig>,
 +    pub layout_template: String,
 +    pub responsive_design: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct WidgetConfig {
 +    pub widget_id: String,
 +    pub widget_type: WidgetType,
 +    pub data_source: String,
 +    pub display_options: DisplayOptions,
 +    pub interaction_options: InteractionOptions,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum WidgetType {
 +    MetricChart,
 +    StatusIndicator,
 +    AlertList,
 +    TrendAnalysis,
 +    HeatMap,
 +    Gauge,
 +    Table,
 +    Map,
 +    Custom,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct DisplayOptions {
 +    pub chart_type: Option<ChartType>,
 +    pub color_scheme: String,
 +    pub size: WidgetSize,
 +    pub auto_refresh: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ChartType {
 +    Line,
 +    Bar,
 +    Pie,
 +    Area,
 +    Scatter,
 +    Histogram,
 +    Candlestick,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct WidgetSize {
 +    pub width: u32,
 +    pub height: u32,
 +    pub min_width: u32,
 +    pub min_height: u32,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct InteractionOptions {
 +    pub drill_down_enabled: bool,
 +    pub filtering_enabled: bool,
 +    pub export_enabled: bool,
 +    pub annotation_enabled: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AccessControlConfig {
 +    pub role_based_access: bool,
 +    pub user_permissions: HashMap<String, Vec<Permission>>,
 +    pub audit_access: bool,
 +    pub session_management: SessionManagement,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum Permission {
 +    ViewDashboard,
 +    EditDashboard,
 +    ViewAlerts,
 +    AcknowledgeAlerts,
 +    ConfigureMonitoring,
 +    ViewReports,
 +    ExportData,
 +    AdminAccess,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct SessionManagement {
 +    pub session_timeout: Duration,
 +    pub concurrent_sessions: u32,
 +    pub ip_restrictions: Vec<String>,
 +    pub mfa_required: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CustomizationOptions {
 +    pub custom_metrics: bool,
 +    pub custom_alerts: bool,
 +    pub custom_reports: bool,
 +    pub branding_options: BrandingOptions,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BrandingOptions {
 +    pub logo_upload: bool,
 +    pub color_customization: bool,
 +    pub custom_css: bool,
 +    pub white_labeling: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AuditRequirements {
 +    pub audit_enabled: bool,
 +    pub audit_scope: AuditScope,
 +    pub audit_retention: Duration,
 +    pub compliance_standards: Vec<ComplianceStandard>,
 +    pub audit_reporting: AuditReporting,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AuditScope {
 +    pub configuration_changes: bool,
 +    pub access_events: bool,
 +    pub data_access: bool,
 +    pub alert_actions: bool,
 +    pub system_events: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ComplianceStandard {
 +    SOX,
 +    HIPAA,
 +    GDPR,
 +    PCI_DSS,
 +    ISO27001,
 +    SOC2,
 +    NIST,
 +    Custom { name: String },
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AuditReporting {
 +    pub report_frequency: Duration,
 +    pub report_recipients: Vec<String>,
 +    pub report_format: ReportFormat,
 +    pub automated_compliance_checks: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ReportFormat {
 +    PDF,
 +    Excel,
 +    CSV,
 +    JSON,
 +    HTML,
 +    Custom { template: String },
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct EnforcementPolicy {
 +    pub policy_id: String,
 +    pub policy_name: String,
 +    pub enforcement_triggers: Vec<EnforcementTrigger>,
 +    pub enforcement_actions: Vec<EnforcementAction>,
 +    pub policy_conditions: Vec<PolicyCondition>,
 +    pub override_permissions: Vec<OverridePermission>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct EnforcementTrigger {
 +    pub trigger_type: TriggerType,
 +    pub condition: String,
 +    pub evaluation_frequency: Duration,
 +    pub trigger_threshold: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum TriggerType {
 +    MetricViolation,
 +    AvailabilityBreach,
 +    PerformanceDegradation,
 +    SecurityIncident,
 +    ComplianceViolation,
 +    CustomCondition,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct EnforcementAction {
 +    pub action_type: ActionType,
 +    pub action_parameters: HashMap<String, String>,
 +    pub execution_delay: Duration,
 +    pub action_priority: u8,
 +    pub rollback_conditions: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ActionType {
 +    SendAlert,
 +    IssueCredit,
 +    ApplyPenalty,
 +    ScaleResources,
 +    FailoverService,
 +    RestartService,
 +    UpdateConfiguration,
 +    EscalateToHuman,
 +    CreateIncident,
 +    ExecuteRunbook,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PolicyCondition {
 +    pub condition_name: String,
 +    pub condition_logic: String,
 +    pub evaluation_context: EvaluationContext,
 +    pub condition_priority: u8,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct EvaluationContext {
 +    pub time_windows: Vec<TimeWindow>,
 +    pub service_context: Vec<String>,
 +    pub customer_context: Vec<String>,
 +    pub environmental_factors: HashMap<String, String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct TimeWindow {
 +    pub window_name: String,
 +    pub start_time: Instant,
 +    pub end_time: Instant,
 +    pub recurring: bool,
 +    pub timezone: String,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct OverridePermission {
 +    pub permission_name: String,
 +    pub authorized_roles: Vec<String>,
 +    pub override_conditions: Vec<String>,
 +    pub approval_required: bool,
 +    pub audit_trail_required: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RemediationAction {
 +    pub action_id: String,
 +    pub action_name: String,
 +    pub remediation_type: RemediationType,
 +    pub automation_level: AutomationLevel,
 +    pub execution_parameters: ExecutionParameters,
 +    pub success_criteria: Vec<SuccessCriterion>,
 +    pub fallback_actions: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum RemediationType {
 +    Preventive,      // Prevent violations before they occur
 +    Corrective,      // Fix violations after they occur
 +    Compensatory,    // Provide alternative service
 +    Detective,       // Identify and report violations
 +    Recovery,        // Recover from service failures
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum AutomationLevel {
 +    Manual,          // Human intervention required
 +    SemiAutomatic,   // Automated with human approval
 +    Automatic,       // Fully automated
 +    Intelligent,     // AI-driven automation
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ExecutionParameters {
 +    pub execution_timeout: Duration,
 +    pub retry_policy: RetryPolicy,
 +    pub resource_requirements: ResourceRequirements,
 +    pub dependencies: Vec<String>,
 +    pub rollback_plan: RollbackPlan,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ResourceRequirements {
 +    pub cpu_requirement: Option<f64>,
 +    pub memory_requirement: Option<f64>,
 +    pub network_bandwidth: Option<f64>,
 +    pub storage_requirement: Option<f64>,
 +    pub special_permissions: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RollbackPlan {
 +    pub rollback_enabled: bool,
 +    pub rollback_triggers: Vec<String>,
 +    pub rollback_steps: Vec<RollbackStep>,
 +    pub rollback_validation: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RollbackStep {
 +    pub step_name: String,
 +    pub step_action: String,
 +    pub step_parameters: HashMap<String, String>,
 +    pub validation_check: String,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct SuccessCriterion {
 +    pub criterion_name: String,
 +    pub measurement_method: String,
 +    pub target_value: f64,
 +    pub tolerance: f64,
 +    pub evaluation_window: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ReportingRequirements {
 +    pub report_types: Vec<ReportType>,
 +    pub reporting_schedule: HashMap<ReportType, Duration>,
 +    pub report_recipients: HashMap<ReportType, Vec<String>>,
 +    pub report_customization: ReportCustomization,
 +    pub compliance_reporting: ComplianceReporting,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ReportType {
 +    PerformanceSummary,
 +    AvailabilityReport,
 +    IncidentSummary,
 +    ComplianceReport,
 +    TrendAnalysis,
 +    CustomReport { name: String },
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ReportCustomization {
 +    pub custom_metrics: bool,
 +    pub custom_visualizations: bool,
 +    pub branding_enabled: bool,
 +    pub interactive_reports: bool,
 +    pub export_formats: Vec<ReportFormat>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ComplianceReporting {
 +    pub regulatory_reports: Vec<RegulatoryReport>,
 +    pub attestation_requirements: Vec<AttestationRequirement>,
 +    pub third_party_audits: bool,
 +    pub continuous_compliance_monitoring: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RegulatoryReport {
 +    pub regulation_name: String,
 +    pub report_frequency: Duration,
 +    pub required_metrics: Vec<String>,
 +    pub submission_deadline: Duration,
 +    pub penalties_for_late_submission: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AttestationRequirement {
 +    pub attestation_type: String,
 +    pub required_evidence: Vec<String>,
 +    pub attestation_frequency: Duration,
 +    pub authorized_signatories: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct EffectivePeriod {
 +    pub start_date: Instant,
 +    pub end_date: Option<Instant>,
 +    pub timezone: String,
 +    pub business_calendar: BusinessCalendar,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BusinessCalendar {
 +    pub business_days: Vec<u8>,
 +    pub holidays: Vec<Holiday>,
 +    pub special_periods: Vec<SpecialPeriod>,
 +    pub maintenance_windows: Vec<MaintenanceWindow>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct Holiday {
 +    pub name: String,
 +    pub date: Instant,
 +    pub recurring: bool,
 +    pub impact_on_sla: SLAImpact,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum SLAImpact {
 +    None,
 +    Relaxed,
 +    Suspended,
 +    Modified { adjustment_factor: f64 },
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct SpecialPeriod {
 +    pub period_name: String,
 +    pub start_date: Instant,
 +    pub end_date: Instant,
 +    pub sla_modifications: Vec<SLAModification>,
 +    pub notification_requirements: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct SLAModification {
 +    pub metric_name: String,
 +    pub modified_target: f64,
 +    pub modification_reason: String,
 +    pub approval_required: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct MaintenanceWindow {
 +    pub window_name: String,
 +    pub recurring_schedule: RecurringSchedule,
 +    pub duration: Duration,
 +    pub sla_exclusion: bool,
 +    pub advance_notice_period: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RecurringSchedule {
 +    pub frequency: ScheduleFrequency,
 +    pub day_of_week: Option<u8>,
 +    pub day_of_month: Option<u8>,
 +    pub time_of_day: TimeOfDay,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ScheduleFrequency {
 +    Daily,
 +    Weekly,
 +    Monthly,
 +    Quarterly,
 +    Custom { pattern: String },
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct TimeOfDay {
 +    pub hour: u8,
 +    pub minute: u8,
 +    pub timezone: String,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RenewalTerms {
 +    pub auto_renewal: bool,
 +    pub renewal_notice_period: Duration,
 +    pub renewal_negotiation_period: Duration,
 +    pub pricing_adjustments: Vec<PricingAdjustment>,
 +    pub performance_review_required: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PricingAdjustment {
 +    pub adjustment_type: AdjustmentType,
 +    pub adjustment_factor: f64,
 +    pub trigger_conditions: Vec<String>,
 +    pub maximum_adjustment: Option<f64>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum AdjustmentType {
 +    InflationBased,
 +    PerformanceBased,
 +    VolumeBased,
 +    MarketBased,
 +    Fixed,
 +    Negotiated,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct SLAMetrics {
 +    pub metric_id: String,
 +    pub sla_id: String,
 +    pub measurement_period: Duration,
 +    pub current_value: f64,
 +    pub target_value: f64,
 +    pub compliance_percentage: f64,
 +    pub trend_direction: TrendDirection,
 +    pub violations: Vec<SLAViolation>,
 +    pub credits_issued: f64,
 +    pub penalties_applied: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum TrendDirection {
 +    Improving,
 +    Stable,
 +    Degrading,
 +    Volatile,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct SLAViolation {
 +    pub violation_id: String,
 +    pub violation_timestamp: Instant,
 +    pub violation_duration: Duration,
 +    pub affected_metrics: Vec<String>,
 +    pub severity: ViolationSeverity,
 +    pub root_cause: Option<String>,
 +    pub remediation_actions_taken: Vec<String>,
 +    pub customer_impact: CustomerImpact,
 +    pub financial_impact: FinancialImpact,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ViolationSeverity {
 +    Minor,
 +    Moderate,
 +    Major,
 +    Critical,
 +    Catastrophic,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CustomerImpact {
 +    pub affected_customers: u32,
 +    pub service_degradation_level: f64,
 +    pub customer_complaints: u32,
 +    pub reputation_impact: ReputationImpact,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ReputationImpact {
 +    Negligible,
 +    Minor,
 +    Moderate,
 +    Significant,
 +    Severe,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct FinancialImpact {
 +    pub direct_costs: f64,
 +    pub opportunity_costs: f64,
 +    pub penalty_costs: f64,
 +    pub credit_costs: f64,
 +    pub remediation_costs: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ComplianceStatus {
 +    pub overall_compliance: f64,
 +    pub compliance_by_metric: HashMap<String, f64>,
 +    pub compliance_trend: TrendDirection,
 +    pub risk_level: RiskLevel,
 +    pub improvement_recommendations: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum RiskLevel {
 +    Low,
 +    Medium,
 +    High,
 +    Critical,
 +}
++
 +pub struct SLAManager {
 +    active_slas: HashMap<String, ServiceLevelAgreement>,
 +    monitoring_systems: HashMap<String, MonitoringSystem>,
 +    enforcement_engine: EnforcementEngine,
 +    reporting_system: ReportingSystem,
 +    compliance_tracker: ComplianceTracker,
 +    analytics_engine: SLAAnalyticsEngine,
 +}
++
 +struct MonitoringSystem {
 +    system_id: String,
 +    agents: Vec<MonitoringAgent>,
 +    data_collectors: Vec<DataCollector>,
 +    metric_processors: HashMap<String, MetricProcessor>,
 +    alert_manager: AlertManager,
 +}
++
 +#[derive(Debug, Clone)]
 +struct DataCollector {
 +    collector_id: String,
 +    collector_type: CollectorType,
 +    collection_targets: Vec<CollectionTarget>,
 +    collection_schedule: CollectionSchedule,
 +    data_pipeline: DataPipeline,
 +}
++
 +#[derive(Debug, Clone)]
 +enum CollectorType {
 +    SNMP,
 +    REST_API,
 +    Database_Query,
 +    Log_Parser,
 +    Synthetic_Transaction,
 +    Agent_Based,
 +    Custom_Script,
 +}
++
 +#[derive(Debug, Clone)]
 +struct CollectionTarget {
 +    target_id: String,
 +    target_type: String,
 +    endpoint: String,
 +    credentials: Option<String>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct CollectionSchedule {
 +    frequency: Duration,
 +    offset: Duration,
 +    collection_window: Duration,
 +    retry_policy: RetryPolicy,
 +}
++
 +#[derive(Debug, Clone)]
 +struct DataPipeline {
 +    preprocessing_steps: Vec<PreprocessingStep>,
 +    validation_rules: Vec<ValidationRule>,
 +    transformation_rules: Vec<TransformationRule>,
 +    routing_rules: Vec<RoutingRule>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct PreprocessingStep {
 +    step_name: String,
 +    step_function: String,
 +    step_parameters: HashMap<String, String>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct TransformationRule {
 +    rule_name: String,
 +    input_format: String,
 +    output_format: String,
 +    transformation_logic: String,
 +}
++
 +#[derive(Debug, Clone)]
 +struct RoutingRule {
 +    rule_name: String,
 +    routing_condition: String,
 +    destination: String,
 +    routing_priority: u8,
 +}
++
 +struct MetricProcessor {
 +    processor_id: String,
 +    metric_definitions: Vec<MetricDefinition>,
 +    calculation_engine: CalculationEngine,
 +    aggregation_rules: Vec<AggregationRule>,
 +    storage_manager: MetricStorageManager,
 +}
++
 +#[derive(Debug, Clone)]
 +struct MetricDefinition {
 +    metric_name: String,
 +    metric_type: MetricType,
 +    calculation_formula: String,
 +    unit_of_measure: String,
 +    precision: u8,
 +}
++
 +#[derive(Debug, Clone)]
 +enum MetricType {
 +    Counter,
 +    Gauge,
 +    Histogram,
 +    Summary,
 +    Timer,
 +    Availability,
 +    Custom,
 +}
++
 +struct CalculationEngine {
 +    calculation_algorithms: HashMap<String, CalculationAlgorithm>,
 +    statistical_functions: StatisticalFunctions,
 +    custom_functions: HashMap<String, String>,
 +}
++
 +#[derive(Debug, Clone)]
 +enum CalculationAlgorithm {
 +    SimpleAverage,
 +    WeightedAverage,
 +    ExponentialMovingAverage,
 +    Percentile,
 +    StandardDeviation,
 +    LinearRegression,
 +    Custom { algorithm: String },
 +}
++
 +struct StatisticalFunctions {
 +    percentile_calculator: PercentileCalculator,
 +    outlier_detector: OutlierDetector,
 +    trend_analyzer: TrendAnalyzer,
 +}
++
 +#[derive(Debug, Clone)]
 +struct PercentileCalculator {
 +    algorithm: PercentileAlgorithm,
 +    interpolation_method: InterpolationMethod,
 +}
++
 +#[derive(Debug, Clone)]
 +enum PercentileAlgorithm {
 +    NearestRank,
 +    LinearInterpolation,
 +    QuantileFunction,
 +}
++
 +#[derive(Debug, Clone)]
 +enum InterpolationMethod {
 +    Linear,
 +    Cubic,
 +    Spline,
 +}
++
 +struct OutlierDetector {
 +    detection_methods: Vec<OutlierMethod>,
 +    sensitivity_threshold: f64,
 +    action_on_outlier: OutlierAction,
 +}
++
 +#[derive(Debug, Clone)]
 +enum OutlierMethod {
 +    IQRMethod,
 +    ZScore,
 +    ModifiedZScore,
 +    IsolationForest,
 +    LocalOutlierFactor,
 +}
++
 +#[derive(Debug, Clone)]
 +enum OutlierAction {
 +    Flag,
 +    Remove,
 +    Adjust,
 +    Alert,
 +}
++
 +struct TrendAnalyzer {
 +    trend_algorithms: Vec<TrendAlgorithm>,
 +    trend_window: Duration,
 +    significance_threshold: f64,
 +}
++
 +#[derive(Debug, Clone)]
 +enum TrendAlgorithm {
 +    LinearTrend,
 +    ExponentialTrend,
 +    SeasonalTrend,
 +    PolynomialTrend,
 +    FourierAnalysis,
 +}
++
 +#[derive(Debug, Clone)]
 +struct AggregationRule {
 +    rule_name: String,
 +    aggregation_function: AggregationFunction,
 +    aggregation_window: Duration,
 +    grouping_criteria: Vec<String>,
 +}
++
 +#[derive(Debug, Clone)]
 +enum AggregationFunction {
 +    Sum,
 +    Average,
 +    Minimum,
 +    Maximum,
 +    Count,
 +    StandardDeviation,
 +    Percentile { percentile: f64 },
 +    Custom { function: String },
 +}
++
 +struct MetricStorageManager {
 +    storage_backends: Vec<StorageBackend>,
 +    retention_policies: HashMap<String, RetentionPolicy>,
 +    compression_strategies: Vec<CompressionStrategy>,
 +    indexing_strategies: Vec<IndexingStrategy>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct StorageBackend {
 +    backend_id: String,
 +    backend_type: StorageBackendType,
 +    connection_config: ConnectionConfig,
 +    performance_characteristics: PerformanceCharacteristics,
 +}
++
 +#[derive(Debug, Clone)]
 +enum StorageBackendType {
 +    TimeSeriesDB,
 +    RelationalDB,
 +    DocumentDB,
 +    ColumnStore,
 +    InMemory,
 +    Distributed,
 +}
++
 +#[derive(Debug, Clone)]
 +struct ConnectionConfig {
 +    connection_string: String,
 +    connection_pool_size: u32,
 +    connection_timeout: Duration,
 +    retry_configuration: RetryConfiguration,
 +}
++
 +#[derive(Debug, Clone)]
 +struct RetryConfiguration {
 +    max_retries: u32,
 +    base_delay: Duration,
 +    max_delay: Duration,
 +    backoff_strategy: BackoffStrategy,
 +}
++
 +#[derive(Debug, Clone)]
 +enum BackoffStrategy {
 +    Fixed,
 +    Linear,
 +    Exponential,
 +    Custom { strategy: String },
 +}
++
 +#[derive(Debug, Clone)]
 +struct PerformanceCharacteristics {
 +    read_throughput: f64,
 +    write_throughput: f64,
 +    query_latency: Duration,
 +    storage_efficiency: f64,
 +    compression_ratio: f64,
 +}
++
 +#[derive(Debug, Clone)]
 +struct CompressionStrategy {
 +    strategy_name: String,
 +    compression_algorithm: CompressionAlgorithm,
 +    compression_level: u8,
 +    applicable_data_types: Vec<String>,
 +}
++
 +#[derive(Debug, Clone)]
 +enum CompressionAlgorithm {
 +    GZIP,
 +    SNAPPY,
 +    LZ4,
 +    ZSTD,
 +    Custom { algorithm: String },
 +}
++
 +#[derive(Debug, Clone)]
 +struct IndexingStrategy {
 +    index_name: String,
 +    indexed_fields: Vec<String>,
 +    index_type: IndexType,
 +    maintenance_policy: IndexMaintenancePolicy,
 +}
++
 +#[derive(Debug, Clone)]
 +enum IndexType {
 +    BTree,
 +    Hash,
 +    Bitmap,
 +    InvertedIndex,
 +    Spatial,
 +    Custom { index_type: String },
 +}
++
 +#[derive(Debug, Clone)]
 +struct IndexMaintenancePolicy {
 +    rebuild_frequency: Duration,
 +    optimization_threshold: f64,
 +    maintenance_window: Duration,
 +    maintenance_priority: u8,
 +}
++
 +struct AlertManager {
 +    alert_rules: Vec<AlertRule>,
 +    notification_system: NotificationSystem,
 +    alert_correlation: AlertCorrelationEngine,
 +    alert_history: AlertHistoryManager,
 +}
++
 +struct NotificationSystem {
 +    channels: HashMap<String, NotificationChannel>,
 +    routing_engine: NotificationRoutingEngine,
 +    delivery_tracker: DeliveryTracker,
 +    template_manager: TemplateManager,
 +}
++
 +struct NotificationRoutingEngine {
 +    routing_rules: Vec<NotificationRoutingRule>,
 +    load_balancer: NotificationLoadBalancer,
 +    failover_manager: NotificationFailoverManager,
 +}
++
 +#[derive(Debug, Clone)]
 +struct NotificationRoutingRule {
 +    rule_name: String,
 +    routing_criteria: RoutingCriteria,
 +    target_channels: Vec<String>,
 +    routing_priority: u8,
 +}
++
 +#[derive(Debug, Clone)]
 +struct RoutingCriteria {
 +    severity_levels: Vec<AlertSeverity>,
 +    time_conditions: Vec<TimeCondition>,
 +    content_filters: Vec<ContentFilter>,
 +    recipient_criteria: Vec<RecipientCriterion>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct TimeCondition {
 +    condition_name: String,
 +    time_range: TimeRange,
 +    timezone: String,
 +    day_of_week_filter: Vec<u8>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct ContentFilter {
 +    filter_name: String,
 +    filter_type: FilterType,
 +    filter_pattern: String,
 +    action: FilterAction,
 +}
++
 +#[derive(Debug, Clone)]
 +enum FilterType {
 +    Contains,
 +    Regex,
 +    Keyword,
 +    Sentiment,
 +    Custom,
 +}
++
 +#[derive(Debug, Clone)]
 +enum FilterAction {
 +    Include,
 +    Exclude,
 +    Transform,
 +    Prioritize,
 +}
++
 +#[derive(Debug, Clone)]
 +struct RecipientCriterion {
 +    criterion_name: String,
 +    recipient_attributes: HashMap<String, String>,
 +    matching_logic: MatchingLogic,
 +}
++
 +#[derive(Debug, Clone)]
 +enum MatchingLogic {
 +    Exact,
 +    Contains,
 +    Regex,
 +    Fuzzy,
 +}
++
 +struct NotificationLoadBalancer {
 +    balancing_strategy: LoadBalancingStrategy,
 +    capacity_monitoring: CapacityMonitoring,
 +    performance_tracking: PerformanceTracking,
 +}
++
 +#[derive(Debug, Clone)]
 +enum LoadBalancingStrategy {
 +    RoundRobin,
 +    WeightedRoundRobin,
 +    LeastConnections,
 +    ResponseTime,
 +    HealthBased,
 +}
++
 +struct CapacityMonitoring {
 +    capacity_metrics: HashMap<String, CapacityMetric>,
 +    threshold_monitoring: ThresholdMonitoring,
 +    scaling_policies: Vec<ScalingPolicy>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct CapacityMetric {
 +    metric_name: String,
 +    current_value: f64,
 +    maximum_capacity: f64,
 +    utilization_percentage: f64,
 +}
++
 +struct ThresholdMonitoring {
 +    thresholds: HashMap<String, ThresholdConfig>,
 +    monitoring_frequency: Duration,
 +    alert_on_breach: bool,
 +}
++
 +#[derive(Debug, Clone)]
 +struct ThresholdConfig {
 +    warning_threshold: f64,
 +    critical_threshold: f64,
 +    evaluation_window: Duration,
 +    hysteresis_factor: f64,
 +}
++
 +#[derive(Debug, Clone)]
 +struct ScalingPolicy {
 +    policy_name: String,
 +    scaling_triggers: Vec<ScalingTrigger>,
 +    scaling_actions: Vec<ScalingAction>,
 +    cooldown_period: Duration,
 +}
++
 +struct PerformanceTracking {
 +    performance_metrics: HashMap<String, PerformanceMetric>,
 +    benchmarking: PerformanceBenchmarking,
 +    optimization_recommendations: Vec<OptimizationRecommendation>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct PerformanceMetric {
 +    metric_name: String,
 +    current_value: f64,
 +    baseline_value: f64,
 +    target_value: f64,
 +    trend: TrendDirection,
 +}
++
 +struct PerformanceBenchmarking {
 +    benchmark_suites: Vec<BenchmarkSuite>,
 +    comparison_baselines: HashMap<String, f64>,
 +    performance_regression_detection: RegressionDetection,
 +}
++
 +#[derive(Debug, Clone)]
 +struct BenchmarkSuite {
 +    suite_name: String,
 +    benchmark_tests: Vec<BenchmarkTest>,
 +    execution_schedule: Duration,
 +}
++
 +#[derive(Debug, Clone)]
 +struct BenchmarkTest {
 +    test_name: String,
 +    test_scenario: String,
 +    success_criteria: Vec<String>,
 +    performance_targets: HashMap<String, f64>,
 +}
++
 +struct RegressionDetection {
 +    detection_algorithms: Vec<RegressionAlgorithm>,
 +    sensitivity_settings: SensitivitySettings,
 +    alert_configuration: RegressionAlertConfig,
 +}
++
 +#[derive(Debug, Clone)]
 +enum RegressionAlgorithm {
 +    StatisticalTest,
 +    ChangePointDetection,
 +    AnomalyDetection,
 +    TrendAnalysis,
 +}
++
 +#[derive(Debug, Clone)]
 +struct SensitivitySettings {
 +    detection_threshold: f64,
 +    confidence_level: f64,
 +    minimum_sample_size: u32,
 +    evaluation_window: Duration,
 +}
++
 +#[derive(Debug, Clone)]
 +struct RegressionAlertConfig {
 +    alert_enabled: bool,
 +    severity_mapping: HashMap<f64, AlertSeverity>,
 +    notification_channels: Vec<String>,
 +    escalation_policy: String,
 +}
++
 +#[derive(Debug, Clone)]
 +struct OptimizationRecommendation {
 +    recommendation_id: String,
 +    recommendation_type: OptimizationType,
 +    expected_improvement: f64,
 +    implementation_effort: ImplementationEffort,
 +    priority_score: f64,
 +}
++
 +#[derive(Debug, Clone)]
 +enum OptimizationType {
 +    ConfigurationTuning,
 +    ResourceScaling,
 +    ArchitecturalChange,
 +    AlgorithmOptimization,
 +    CachingStrategy,
 +}
++
 +#[derive(Debug, Clone)]
 +enum ImplementationEffort {
 +    Low,
 +    Medium,
 +    High,
 +    Complex,
 +}
++
 +struct NotificationFailoverManager {
 +    failover_policies: Vec<FailoverPolicy>,
 +    health_monitoring: HealthMonitoring,
 +    recovery_procedures: Vec<RecoveryProcedure>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct FailoverPolicy {
 +    policy_name: String,
 +    trigger_conditions: Vec<FailoverTrigger>,
 +    failover_targets: Vec<FailoverTarget>,
 +    rollback_conditions: Vec<String>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct FailoverTrigger {
 +    trigger_type: FailoverTriggerType,
 +    threshold_value: f64,
 +    evaluation_period: Duration,
 +    consecutive_failures: u32,
 +}
++
 +#[derive(Debug, Clone)]
 +enum FailoverTriggerType {
 +    HealthCheck,
 +    ResponseTime,
 +    ErrorRate,
 +    Capacity,
 +    Manual,
 +}
++
 +#[derive(Debug, Clone)]
 +struct FailoverTarget {
 +    target_id: String,
 +    target_capacity: f64,
 +    failover_priority: u8,
 +    health_status: HealthStatus,
 +}
++
 +#[derive(Debug, Clone)]
 +enum HealthStatus {
 +    Healthy,
 +    Degraded,
 +    Unhealthy,
 +    Maintenance,
 +    Unknown,
 +}
++
 +struct HealthMonitoring {
 +    health_checks: Vec<HealthCheck>,
 +    monitoring_frequency: Duration,
 +    health_aggregation: HealthAggregation,
 +}
++
 +#[derive(Debug, Clone)]
 +struct HealthCheck {
 +    check_name: String,
 +    check_type: HealthCheckType,
 +    target_endpoint: String,
 +    success_criteria: Vec<String>,
 +    timeout: Duration,
 +}
++
 +#[derive(Debug, Clone)]
 +enum HealthCheckType {
 +    HTTP,
 +    TCP,
 +    ICMP,
 +    Database,
 +    Custom,
 +}
++
 +#[derive(Debug, Clone)]
 +struct HealthAggregation {
 +    aggregation_method: HealthAggregationMethod,
 +    weight_factors: HashMap<String, f64>,
 +    health_scoring: HealthScoring,
 +}
++
 +#[derive(Debug, Clone)]
 +enum HealthAggregationMethod {
 +    WeightedAverage,
 +    MinimumHealth,
 +    Consensus,
 +    Custom,
 +}
++
 +#[derive(Debug, Clone)]
 +struct HealthScoring {
 +    scoring_algorithm: ScoringAlgorithm,
 +    score_ranges: HashMap<HealthStatus, (f64, f64)>,
 +    hysteresis_enabled: bool,
 +}
++
 +#[derive(Debug, Clone)]
 +enum ScoringAlgorithm {
 +    Linear,
 +    Logarithmic,
 +    Exponential,
 +    Custom { formula: String },
 +}
++
 +#[derive(Debug, Clone)]
 +struct RecoveryProcedure {
 +    procedure_name: String,
 +    recovery_steps: Vec<RecoveryStep>,
 +    validation_checks: Vec<ValidationCheck>,
 +    rollback_plan: RollbackPlan,
 +}
++
 +#[derive(Debug, Clone)]
 +struct RecoveryStep {
 +    step_name: String,
 +    step_type: RecoveryStepType,
 +    execution_parameters: HashMap<String, String>,
 +    success_criteria: Vec<String>,
 +    timeout: Duration,
 +}
++
 +#[derive(Debug, Clone)]
 +enum RecoveryStepType {
 +    Restart,
 +    Reconfigure,
 +    Failover,
 +    Scale,
 +    Custom,
 +}
++
 +#[derive(Debug, Clone)]
 +struct ValidationCheck {
 +    check_name: String,
 +    validation_method: ValidationMethod,
 +    expected_result: String,
 +    retry_policy: RetryPolicy,
 +}
++
 +#[derive(Debug, Clone)]
 +enum ValidationMethod {
 +    HealthCheck,
 +    FunctionalTest,
 +    PerformanceTest,
 +    IntegrationTest,
 +    Custom,
 +}
++
 +impl SLAManager {
 +    pub fn new() -> Self {
 +        Self {
 +            active_slas: HashMap::new(),
 +            monitoring_systems: HashMap::new(),
 +            enforcement_engine: EnforcementEngine::new(),
 +            reporting_system: ReportingSystem::new(),
 +            compliance_tracker: ComplianceTracker::new(),
 +            analytics_engine: SLAAnalyticsEngine::new(),
 +        }
 +    }
++
 +    pub async fn create_sla(&mut self, sla: ServiceLevelAgreement) -> Result<String, Box<dyn std::error::Error>> {
 +        let sla_id = sla.sla_id.clone();
++
 +        // Set up monitoring for the SLA
 +        self.setup_monitoring(&sla).await?;
++
 +        // Configure enforcement policies
 +        self.enforcement_engine.configure_policies(&sla).await?;
++
 +        // Initialize compliance tracking
 +        self.compliance_tracker.initialize_tracking(&sla).await?;
++
 +        // Store the SLA
 +        self.active_slas.insert(sla_id.clone(), sla);
++
 +        Ok(sla_id)
 +    }
++
 +    pub async fn evaluate_sla_compliance(&mut self, sla_id: &str) -> Result<ComplianceStatus, Box<dyn std::error::Error>> {
 +        let sla = self.active_slas.get(sla_id)
 +            .ok_or("SLA not found")?;
++
 +        let compliance_status = self.compliance_tracker.evaluate_compliance(sla).await?;
++
 +        // Check for violations and trigger enforcement if needed
 +        if compliance_status.overall_compliance < 0.95 {
 +            self.enforcement_engine.trigger_enforcement(sla_id, &compliance_status).await?;
 +        }
++
 +        Ok(compliance_status)
 +    }
++
 +    pub async fn generate_sla_report(&self, sla_id: &str, report_type: ReportType) -> Result<String, Box<dyn std::error::Error>> {
 +        self.reporting_system.generate_report(sla_id, report_type).await
 +    }
++
 +    async fn setup_monitoring(&mut self, sla: &ServiceLevelAgreement) -> Result<(), Box<dyn std::error::Error>> {
 +        let monitoring_system = MonitoringSystem {
 +            system_id: format!("monitor_{}", sla.sla_id),
 +            agents: sla.monitoring_configuration.monitoring_agents.clone(),
 +            data_collectors: Vec::new(),
 +            metric_processors: HashMap::new(),
 +            alert_manager: AlertManager {
 +                alert_rules: sla.monitoring_configuration.alert_configuration.alert_rules.clone(),
 +                notification_system: NotificationSystem::new(),
 +                alert_correlation: AlertCorrelationEngine::new(),
 +                alert_history: AlertHistoryManager::new(),
 +            },
 +        };
++
 +        self.monitoring_systems.insert(sla.sla_id.clone(), monitoring_system);
++
 +        Ok(())
 +    }
 +}
++
 +// Simplified implementations for complex subsystems
 +struct EnforcementEngine;
 +struct ReportingSystem;
 +struct ComplianceTracker;
 +struct SLAAnalyticsEngine;
 +struct AlertCorrelationEngine;
 +struct AlertHistoryManager;
 +struct DeliveryTracker;
 +struct TemplateManager;
++
 +impl EnforcementEngine {
 +    fn new() -> Self { Self }
 +    async fn configure_policies(&mut self, _sla: &ServiceLevelAgreement) -> Result<(), Box<dyn std::error::Error>> { Ok(()) }
 +    async fn trigger_enforcement(&mut self, _sla_id: &str, _status: &ComplianceStatus) -> Result<(), Box<dyn std::error::Error>> { Ok(()) }
 +}
++
 +impl ReportingSystem {
 +    fn new() -> Self { Self }
 +    async fn generate_report(&self, _sla_id: &str, _report_type: ReportType) -> Result<String, Box<dyn std::error::Error>> {
 +        Ok("Generated report".to_string())
 +    }
 +}
++
 +impl ComplianceTracker {
 +    fn new() -> Self { Self }
 +    async fn initialize_tracking(&mut self, _sla: &ServiceLevelAgreement) -> Result<(), Box<dyn std::error::Error>> { Ok(()) }
 +    async fn evaluate_compliance(&self, _sla: &ServiceLevelAgreement) -> Result<ComplianceStatus, Box<dyn std::error::Error>> {
 +        Ok(ComplianceStatus {
 +            overall_compliance: 0.98,
 +            compliance_by_metric: HashMap::new(),
 +            compliance_trend: TrendDirection::Stable,
 +            risk_level: RiskLevel::Low,
 +            improvement_recommendations: Vec::new(),
 +        })
 +    }
 +}
++
 +impl SLAAnalyticsEngine {
 +    fn new() -> Self { Self }
 +}
++
 +impl AlertCorrelationEngine {
 +    fn new() -> Self { Self }
 +}
++
 +impl AlertHistoryManager {
 +    fn new() -> Self { Self }
 +}
++
 +impl NotificationSystem {
 +    fn new() -> Self {
 +        Self {
 +            channels: HashMap::new(),
 +            routing_engine: NotificationRoutingEngine {
 +                routing_rules: Vec::new(),
 +                load_balancer: NotificationLoadBalancer {
 +                    balancing_strategy: LoadBalancingStrategy::RoundRobin,
 +                    capacity_monitoring: CapacityMonitoring {
 +                        capacity_metrics: HashMap::new(),
 +                        threshold_monitoring: ThresholdMonitoring {
 +                            thresholds: HashMap::new(),
 +                            monitoring_frequency: Duration::from_secs(60),
 +                            alert_on_breach: true,
 +                        },
 +                        scaling_policies: Vec::new(),
 +                    },
 +                    performance_tracking: PerformanceTracking {
 +                        performance_metrics: HashMap::new(),
 +                        benchmarking: PerformanceBenchmarking {
 +                            benchmark_suites: Vec::new(),
 +                            comparison_baselines: HashMap::new(),
 +                            performance_regression_detection: RegressionDetection {
 +                                detection_algorithms: Vec::new(),
 +                                sensitivity_settings: SensitivitySettings {
 +                                    detection_threshold: 0.05,
 +                                    confidence_level: 0.95,
 +                                    minimum_sample_size: 30,
 +                                    evaluation_window: Duration::from_secs(3600),
 +                                },
 +                                alert_configuration: RegressionAlertConfig {
 +                                    alert_enabled: true,
 +                                    severity_mapping: HashMap::new(),
 +                                    notification_channels: Vec::new(),
 +                                    escalation_policy: "standard".to_string(),
 +                                },
 +                            },
 +                        },
 +                        optimization_recommendations: Vec::new(),
 +                    },
 +                },
 +                failover_manager: NotificationFailoverManager {
 +                    failover_policies: Vec::new(),
 +                    health_monitoring: HealthMonitoring {
 +                        health_checks: Vec::new(),
 +                        monitoring_frequency: Duration::from_secs(30),
 +                        health_aggregation: HealthAggregation {
 +                            aggregation_method: HealthAggregationMethod::WeightedAverage,
 +                            weight_factors: HashMap::new(),
 +                            health_scoring: HealthScoring {
 +                                scoring_algorithm: ScoringAlgorithm::Linear,
 +                                score_ranges: HashMap::new(),
 +                                hysteresis_enabled: true,
 +                            },
 +                        },
 +                    },
 +                    recovery_procedures: Vec::new(),
 +                },
 +            },
 +            delivery_tracker: DeliveryTracker,
 +            template_manager: TemplateManager,
 +        }
 +    }
 +}
++
 +impl DeliveryTracker {
 +    fn new() -> Self { Self }
 +}
++
 +impl TemplateManager {
 +    fn new() -> Self { Self }
 +}

src/redundancy/auto_replication.rsadded

1045 lines changed — click to load

 +//! Automatic Replication System
 +//!
 +//! Handles automatic replication when nodes go offline, ensuring data durability
 +//! through intelligent recovery and replacement strategies
++
 +use anyhow::Result;
 +use serde::{Deserialize, Serialize};
 +use std::collections::{HashMap, VecDeque, HashSet};
 +use chrono::{DateTime, Utc, Duration};
 +use tokio::time::{sleep, Duration as TokioDuration};
++
 +use crate::economics::GeographicRegion;
 +use super::health_monitor::{ChunkHealth, ReplicaHealth, ReplicaStatus, HealthStatus};
 +use super::intelligent_replication::{ReplicationStrategy, ContentType};
++
 +/// Automatic replication manager
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AutoReplicationManager {
 +    /// Node failure detection
 +    pub failure_detection: FailureDetectionConfig,
 +    /// Replication policies
 +    pub replication_policies: HashMap<String, AutoReplicationPolicy>,
 +    /// Active replication tasks
 +    pub active_tasks: HashMap<String, ReplicationTask>,
 +    /// Node status tracking
 +    pub node_status: HashMap<String, NodeStatus>,
 +    /// Recovery strategies
 +    pub recovery_strategies: RecoveryStrategyConfig,
 +    /// Performance metrics
 +    pub metrics: AutoReplicationMetrics,
 +    /// Emergency protocols
 +    pub emergency_config: EmergencyReplicationConfig,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct FailureDetectionConfig {
 +    /// Heartbeat interval for node monitoring
 +    pub heartbeat_interval_seconds: u32,
 +    /// Timeout before considering node offline
 +    pub offline_timeout_seconds: u32,
 +    /// Number of consecutive failures before triggering replication
 +    pub failure_threshold: u32,
 +    /// Grace period for temporary network issues
 +    pub grace_period_seconds: u32,
 +    /// Enable predictive failure detection
 +    pub predictive_detection: bool,
 +    /// Network partition detection
 +    pub partition_detection: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AutoReplicationPolicy {
 +    pub policy_id: String,
 +    pub content_types: Vec<ContentType>,
 +    pub trigger_conditions: Vec<TriggerCondition>,
 +    pub replication_strategy: ReplicationResponseStrategy,
 +    pub priority: ReplicationPriority,
 +    pub max_concurrent_replications: u32,
 +    pub resource_limits: ResourceLimits,
 +    pub geographic_constraints: GeographicConstraints,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum TriggerCondition {
 +    NodeOffline { grace_period_seconds: u32 },
 +    ReplicaCountBelowThreshold { min_replicas: u32 },
 +    HealthScoreBelowThreshold { min_score: f64 },
 +    GeographicDistributionLoss { min_regions: u32 },
 +    PerformanceDegradation { max_response_time_ms: f64 },
 +    IntegrityViolation,
 +    NetworkPartition,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ReplicationResponseStrategy {
 +    Immediate,           // Start replication immediately
 +    Delayed { delay_seconds: u32 }, // Wait before starting
 +    Batched { batch_size: u32 },    // Batch multiple chunks
 +    Adaptive,            // Adapt based on network conditions
 +    Conservative,        // Wait for confirmation of permanent failure
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ReplicationPriority {
 +    Emergency,   // Critical data, immediate action
 +    High,        // Important data, prioritized
 +    Normal,      // Standard priority
 +    Low,         // Background processing
 +    Deferred,    // Wait for better conditions
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ResourceLimits {
 +    pub max_bandwidth_mbps: f64,
 +    pub max_concurrent_transfers: u32,
 +    pub max_storage_usage_gb: u64,
 +    pub max_cost_per_hour: f64,
 +    pub cpu_usage_limit: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct GeographicConstraints {
 +    pub required_regions: Vec<GeographicRegion>,
 +    pub forbidden_regions: Vec<GeographicRegion>,
 +    pub min_distance_km: f64,
 +    pub regulatory_compliance: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct NodeStatus {
 +    pub node_id: String,
 +    pub region: GeographicRegion,
 +    pub status: NodeState,
 +    pub last_seen: DateTime<Utc>,
 +    pub consecutive_failures: u32,
 +    pub failure_history: VecDeque<FailureEvent>,
 +    pub predicted_availability: f64,
 +    pub maintenance_scheduled: Option<DateTime<Utc>>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum NodeState {
 +    Online,
 +    Degraded,
 +    Offline,
 +    Maintenance,
 +    Unknown,
 +    Suspected,  // Suspected of being offline
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct FailureEvent {
 +    pub timestamp: DateTime<Utc>,
 +    pub failure_type: FailureType,
 +    pub duration_seconds: Option<u64>,
 +    pub recovery_time_seconds: Option<u64>,
 +    pub root_cause: Option<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum FailureType {
 +    NetworkTimeout,
 +    DiskFailure,
 +    PowerOutage,
 +    MaintenanceShutdown,
 +    ProcessCrash,
 +    NetworkPartition,
 +    Unknown,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ReplicationTask {
 +    pub task_id: String,
 +    pub chunk_id: String,
 +    pub content_type: ContentType,
 +    pub trigger_reason: TriggerReason,
 +    pub source_replicas: Vec<String>,
 +    pub target_nodes: Vec<String>,
 +    pub status: TaskStatus,
 +    pub progress: TaskProgress,
 +    pub created_at: DateTime<Utc>,
 +    pub started_at: Option<DateTime<Utc>>,
 +    pub completed_at: Option<DateTime<Utc>>,
 +    pub estimated_completion: Option<DateTime<Utc>>,
 +    pub resource_usage: ResourceUsage,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum TriggerReason {
 +    NodeFailure { failed_nodes: Vec<String> },
 +    HealthDegradation { health_score: f64 },
 +    PolicyViolation { policy_id: String },
 +    ManualRequest { requested_by: String },
 +    PredictiveAction { predicted_failure: String },
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum TaskStatus {
 +    Queued,
 +    Planning,
 +    Executing,
 +    Verifying,
 +    Completed,
 +    Failed,
 +    Cancelled,
 +    Paused,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct TaskProgress {
 +    pub stage: ReplicationStage,
 +    pub percentage_complete: f64,
 +    pub bytes_transferred: u64,
 +    pub total_bytes: u64,
 +    pub transfer_rate_mbps: f64,
 +    pub estimated_time_remaining_seconds: u64,
 +    pub current_operation: String,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ReplicationStage {
 +    Initializing,
 +    SelectingNodes,
 +    PreparingTransfer,
 +    Transferring,
 +    Verifying,
 +    Finalizing,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ResourceUsage {
 +    pub bandwidth_used_mbps: f64,
 +    pub storage_used_gb: u64,
 +    pub cpu_usage_percent: f64,
 +    pub cost_incurred: f64,
 +    pub network_transfers: u32,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RecoveryStrategyConfig {
 +    pub prefer_local_replicas: bool,
 +    pub max_recovery_distance_km: f64,
 +    pub parallel_recovery_streams: u32,
 +    pub verification_level: VerificationLevel,
 +    pub fallback_strategies: Vec<FallbackStrategy>,
 +    pub optimization_goals: OptimizationGoals,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum VerificationLevel {
 +    Basic,       // Hash verification only
 +    Standard,    // Hash + size + basic integrity
 +    Thorough,    // Full content verification
 +    Paranoid,    // Multiple verification methods
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum FallbackStrategy {
 +    UseRemoteReplicas,
 +    IncreaseReplicationFactor,
 +    RelaxGeographicConstraints,
 +    UseExpensiveNodes,
 +    WaitForNodeRecovery,
 +    EmergencyProtocol,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct OptimizationGoals {
 +    pub minimize_cost: bool,
 +    pub minimize_latency: bool,
 +    pub maximize_durability: bool,
 +    pub balance_geographic_distribution: bool,
 +    pub prefer_high_performance_nodes: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AutoReplicationMetrics {
 +    pub total_replications_triggered: u64,
 +    pub successful_replications: u64,
 +    pub failed_replications: u64,
 +    pub average_replication_time_seconds: f64,
 +    pub total_data_recovered_gb: u64,
 +    pub cost_of_replications: f64,
 +    pub nodes_replaced: u64,
 +    pub emergency_recoveries: u64,
 +    pub last_updated: DateTime<Utc>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct EmergencyReplicationConfig {
 +    pub enable_emergency_mode: bool,
 +    pub emergency_triggers: Vec<EmergencyTrigger>,
 +    pub emergency_resources: EmergencyResources,
 +    pub escalation_timeouts: EscalationTimeouts,
 +    pub emergency_contacts: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum EmergencyTrigger {
 +    DataLossImminent { chunks_at_risk: u32 },
 +    NetworkPartition { partition_size: f64 },
 +    MassNodeFailure { failure_rate: f64 },
 +    StorageCapacityCritical { utilization: f64 },
 +    ComplianceViolation { severity: String },
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct EmergencyResources {
 +    pub reserved_bandwidth_mbps: f64,
 +    pub reserved_storage_gb: u64,
 +    pub priority_node_access: bool,
 +    pub cost_override_enabled: bool,
 +    pub geographic_restriction_override: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct EscalationTimeouts {
 +    pub initial_response_minutes: u32,
 +    pub escalation_interval_minutes: u32,
 +    pub max_escalation_levels: u32,
 +    pub emergency_override_minutes: u32,
 +}
++
 +impl Default for FailureDetectionConfig {
 +    fn default() -> Self {
 +        Self {
 +            heartbeat_interval_seconds: 30,
 +            offline_timeout_seconds: 180, // 3 minutes
 +            failure_threshold: 3,
 +            grace_period_seconds: 60,
 +            predictive_detection: true,
 +            partition_detection: true,
 +        }
 +    }
 +}
++
 +impl AutoReplicationManager {
 +    /// Create new auto replication manager
 +    pub fn new() -> Self {
 +        let mut manager = Self {
 +            failure_detection: FailureDetectionConfig::default(),
 +            replication_policies: HashMap::new(),
 +            active_tasks: HashMap::new(),
 +            node_status: HashMap::new(),
 +            recovery_strategies: RecoveryStrategyConfig {
 +                prefer_local_replicas: true,
 +                max_recovery_distance_km: 5000.0,
 +                parallel_recovery_streams: 3,
 +                verification_level: VerificationLevel::Standard,
 +                fallback_strategies: vec![
 +                    FallbackStrategy::UseRemoteReplicas,
 +                    FallbackStrategy::RelaxGeographicConstraints,
 +                    FallbackStrategy::IncreaseReplicationFactor,
 +                ],
 +                optimization_goals: OptimizationGoals {
 +                    minimize_cost: true,
 +                    minimize_latency: true,
 +                    maximize_durability: true,
 +                    balance_geographic_distribution: true,
 +                    prefer_high_performance_nodes: false,
 +                },
 +            },
 +            metrics: AutoReplicationMetrics {
 +                total_replications_triggered: 0,
 +                successful_replications: 0,
 +                failed_replications: 0,
 +                average_replication_time_seconds: 0.0,
 +                total_data_recovered_gb: 0,
 +                cost_of_replications: 0.0,
 +                nodes_replaced: 0,
 +                emergency_recoveries: 0,
 +                last_updated: Utc::now(),
 +            },
 +            emergency_config: EmergencyReplicationConfig {
 +                enable_emergency_mode: true,
 +                emergency_triggers: vec![
 +                    EmergencyTrigger::DataLossImminent { chunks_at_risk: 10 },
 +                    EmergencyTrigger::MassNodeFailure { failure_rate: 0.1 },
 +                ],
 +                emergency_resources: EmergencyResources {
 +                    reserved_bandwidth_mbps: 100.0,
 +                    reserved_storage_gb: 1000,
 +                    priority_node_access: true,
 +                    cost_override_enabled: true,
 +                    geographic_restriction_override: false,
 +                },
 +                escalation_timeouts: EscalationTimeouts {
 +                    initial_response_minutes: 5,
 +                    escalation_interval_minutes: 15,
 +                    max_escalation_levels: 3,
 +                    emergency_override_minutes: 60,
 +                },
 +                emergency_contacts: Vec::new(),
 +            },
 +        };
++
 +        manager.initialize_default_policies();
 +        manager
 +    }
++
 +    /// Initialize default replication policies
 +    fn initialize_default_policies(&mut self) {
 +        // Critical data policy
 +        self.replication_policies.insert("critical".to_string(), AutoReplicationPolicy {
 +            policy_id: "critical".to_string(),
 +            content_types: vec![ContentType::Critical],
 +            trigger_conditions: vec![
 +                TriggerCondition::NodeOffline { grace_period_seconds: 30 },
 +                TriggerCondition::ReplicaCountBelowThreshold { min_replicas: 5 },
 +                TriggerCondition::HealthScoreBelowThreshold { min_score: 80.0 },
 +            ],
 +            replication_strategy: ReplicationResponseStrategy::Immediate,
 +            priority: ReplicationPriority::Emergency,
 +            max_concurrent_replications: 10,
 +            resource_limits: ResourceLimits {
 +                max_bandwidth_mbps: 1000.0,
 +                max_concurrent_transfers: 20,
 +                max_storage_usage_gb: 10000,
 +                max_cost_per_hour: 100.0,
 +                cpu_usage_limit: 80.0,
 +            },
 +            geographic_constraints: GeographicConstraints {
 +                required_regions: vec![],
 +                forbidden_regions: vec![],
 +                min_distance_km: 1000.0,
 +                regulatory_compliance: vec!["SOX".to_string(), "HIPAA".to_string()],
 +            },
 +        });
++
 +        // Standard data policy
 +        self.replication_policies.insert("standard".to_string(), AutoReplicationPolicy {
 +            policy_id: "standard".to_string(),
 +            content_types: vec![ContentType::Standard, ContentType::Important],
 +            trigger_conditions: vec![
 +                TriggerCondition::NodeOffline { grace_period_seconds: 120 },
 +                TriggerCondition::ReplicaCountBelowThreshold { min_replicas: 3 },
 +                TriggerCondition::HealthScoreBelowThreshold { min_score: 70.0 },
 +            ],
 +            replication_strategy: ReplicationResponseStrategy::Delayed { delay_seconds: 300 },
 +            priority: ReplicationPriority::Normal,
 +            max_concurrent_replications: 5,
 +            resource_limits: ResourceLimits {
 +                max_bandwidth_mbps: 500.0,
 +                max_concurrent_transfers: 10,
 +                max_storage_usage_gb: 5000,
 +                max_cost_per_hour: 50.0,
 +                cpu_usage_limit: 60.0,
 +            },
 +            geographic_constraints: GeographicConstraints {
 +                required_regions: vec![],
 +                forbidden_regions: vec![],
 +                min_distance_km: 500.0,
 +                regulatory_compliance: vec![],
 +            },
 +        });
++
 +        // Archive data policy
 +        self.replication_policies.insert("archive".to_string(), AutoReplicationPolicy {
 +            policy_id: "archive".to_string(),
 +            content_types: vec![ContentType::Archive],
 +            trigger_conditions: vec![
 +                TriggerCondition::NodeOffline { grace_period_seconds: 3600 }, // 1 hour
 +                TriggerCondition::ReplicaCountBelowThreshold { min_replicas: 2 },
 +            ],
 +            replication_strategy: ReplicationResponseStrategy::Conservative,
 +            priority: ReplicationPriority::Low,
 +            max_concurrent_replications: 2,
 +            resource_limits: ResourceLimits {
 +                max_bandwidth_mbps: 100.0,
 +                max_concurrent_transfers: 3,
 +                max_storage_usage_gb: 1000,
 +                max_cost_per_hour: 10.0,
 +                cpu_usage_limit: 30.0,
 +            },
 +            geographic_constraints: GeographicConstraints {
 +                required_regions: vec![],
 +                forbidden_regions: vec![],
 +                min_distance_km: 100.0,
 +                regulatory_compliance: vec![],
 +            },
 +        });
 +    }
++
 +    /// Update node status
 +    pub fn update_node_status(&mut self, node_id: String, status: NodeState) {
 +        let now = Utc::now();
++
 +        if let Some(node_status) = self.node_status.get_mut(&node_id) {
 +            let previous_status = node_status.status.clone();
 +            node_status.status = status.clone();
 +            node_status.last_seen = now;
++
 +            // Track state transitions
 +            if !matches!(previous_status, NodeState::Online) && matches!(status, NodeState::Online) {
 +                // Node came back online
 +                node_status.consecutive_failures = 0;
 +                tracing::info!("Node {} came back online", node_id);
 +            } else if matches!(previous_status, NodeState::Online) && !matches!(status, NodeState::Online) {
 +                // Node went offline
 +                node_status.consecutive_failures += 1;
++
 +                node_status.failure_history.push_back(FailureEvent {
 +                    timestamp: now,
 +                    failure_type: FailureType::NetworkTimeout, // Default, would be determined by failure detection
 +                    duration_seconds: None,
 +                    recovery_time_seconds: None,
 +                    root_cause: None,
 +                });
++
 +                // Keep only last 100 failure events
 +                if node_status.failure_history.len() > 100 {
 +                    node_status.failure_history.pop_front();
 +                }
++
 +                tracing::warn!("Node {} went offline (failure #{}) ", node_id, node_status.consecutive_failures);
 +            }
 +        } else {
 +            // New node
 +            self.node_status.insert(node_id.clone(), NodeStatus {
 +                node_id: node_id.clone(),
 +                region: GeographicRegion::NorthAmerica, // Would be determined from node info
 +                status,
 +                last_seen: now,
 +                consecutive_failures: 0,
 +                failure_history: VecDeque::new(),
 +                predicted_availability: 1.0,
 +                maintenance_scheduled: None,
 +            });
 +        }
 +    }
++
 +    /// Detect node failures and trigger replication
 +    pub async fn detect_failures_and_replicate(&mut self, chunk_health_data: &HashMap<String, ChunkHealth>) -> Result<()> {
 +        let failed_nodes = self.detect_failed_nodes();
++
 +        if !failed_nodes.is_empty() {
 +            tracing::info!("Detected {} failed nodes: {:?}", failed_nodes.len(), failed_nodes);
++
 +            // Find affected chunks
 +            let affected_chunks = self.find_affected_chunks(chunk_health_data, &failed_nodes);
++
 +            for chunk_id in affected_chunks {
 +                if let Some(chunk_health) = chunk_health_data.get(&chunk_id) {
 +                    // Check if replication is needed
 +                    if self.should_trigger_replication(chunk_health, &failed_nodes)? {
 +                        self.trigger_replication(chunk_id, chunk_health, &failed_nodes).await?;
 +                    }
 +                }
 +            }
 +        }
++
 +        // Check for other trigger conditions
 +        self.check_other_trigger_conditions(chunk_health_data).await?;
++
 +        Ok(())
 +    }
++
 +    /// Detect failed nodes
 +    fn detect_failed_nodes(&self) -> Vec<String> {
 +        let now = Utc::now();
 +        let offline_threshold = Duration::seconds(self.failure_detection.offline_timeout_seconds as i64);
++
 +        self.node_status
 +            .iter()
 +            .filter(|(_, status)| {
 +                matches!(status.status, NodeState::Offline | NodeState::Unknown) ||
 +                (now - status.last_seen) > offline_threshold
 +            })
 +            .map(|(node_id, _)| node_id.clone())
 +            .collect()
 +    }
++
 +    /// Find chunks affected by node failures
 +    fn find_affected_chunks(&self, chunk_health_data: &HashMap<String, ChunkHealth>, failed_nodes: &[String]) -> Vec<String> {
 +        let failed_node_set: HashSet<_> = failed_nodes.iter().collect();
++
 +        chunk_health_data
 +            .iter()
 +            .filter(|(_, chunk_health)| {
 +                chunk_health.replica_health
 +                    .iter()
 +                    .any(|replica| failed_node_set.contains(&replica.node_id))
 +            })
 +            .map(|(chunk_id, _)| chunk_id.clone())
 +            .collect()
 +    }
++
 +    /// Check if replication should be triggered
 +    fn should_trigger_replication(&self, chunk_health: &ChunkHealth, failed_nodes: &[String]) -> Result<bool> {
 +        let content_type = ContentType::Standard; // Would be determined from chunk metadata
++
 +        // Find applicable policy
 +        let policy = self.find_applicable_policy(&content_type)?;
++
 +        // Check each trigger condition
 +        for condition in &policy.trigger_conditions {
 +            match condition {
 +                TriggerCondition::NodeOffline { grace_period_seconds } => {
 +                    // Check if any replica is on a failed node and grace period has passed
 +                    let affected_replicas = chunk_health.replica_health
 +                        .iter()
 +                        .filter(|replica| failed_nodes.contains(&replica.node_id))
 +                        .count();
++
 +                    if affected_replicas > 0 {
 +                        let grace_period = Duration::seconds(*grace_period_seconds as i64);
 +                        let oldest_failure = Utc::now() - grace_period; // Simplified
++
 +                        // In real implementation, would check actual failure times
 +                        return Ok(true);
 +                    }
 +                },
 +                TriggerCondition::ReplicaCountBelowThreshold { min_replicas } => {
 +                    let healthy_replicas = chunk_health.replica_health
 +                        .iter()
 +                        .filter(|replica| matches!(replica.status, ReplicaStatus::Healthy))
 +                        .count();
++
 +                    if healthy_replicas < *min_replicas as usize {
 +                        return Ok(true);
 +                    }
 +                },
 +                TriggerCondition::HealthScoreBelowThreshold { min_score } => {
 +                    if chunk_health.availability_score < *min_score {
 +                        return Ok(true);
 +                    }
 +                },
 +                TriggerCondition::GeographicDistributionLoss { min_regions } => {
 +                    let regions: HashSet<_> = chunk_health.replica_health
 +                        .iter()
 +                        .filter(|replica| matches!(replica.status, ReplicaStatus::Healthy))
 +                        .map(|replica| &replica.region)
 +                        .collect();
++
 +                    if regions.len() < *min_regions as usize {
 +                        return Ok(true);
 +                    }
 +                },
 +                _ => {
 +                    // Handle other conditions
 +                }
 +            }
 +        }
++
 +        Ok(false)
 +    }
++
 +    /// Find applicable replication policy
 +    fn find_applicable_policy(&self, content_type: &ContentType) -> Result<&AutoReplicationPolicy> {
 +        for policy in self.replication_policies.values() {
 +            if policy.content_types.contains(content_type) {
 +                return Ok(policy);
 +            }
 +        }
++
 +        // Default to standard policy
 +        self.replication_policies.get("standard")
 +            .ok_or_else(|| anyhow::anyhow!("No applicable replication policy found"))
 +    }
++
 +    /// Trigger replication for a chunk
 +    pub async fn trigger_replication(
 +        &mut self,
 +        chunk_id: String,
 +        chunk_health: &ChunkHealth,
 +        failed_nodes: &[String],
 +    ) -> Result<String> {
 +        let content_type = ContentType::Standard; // Would be determined from chunk metadata
 +        let policy = self.find_applicable_policy(&content_type)?;
++
 +        // Check if we're already replicating this chunk
 +        let existing_task = self.active_tasks.values()
 +            .find(|task| task.chunk_id == chunk_id && matches!(task.status, TaskStatus::Queued | TaskStatus::Executing));
++
 +        if existing_task.is_some() {
 +            tracing::info!("Replication already in progress for chunk {}", chunk_id);
 +            return Ok(existing_task.unwrap().task_id.clone());
 +        }
++
 +        // Check resource limits
 +        if self.active_tasks.len() >= policy.max_concurrent_replications as usize {
 +            tracing::warn!("Maximum concurrent replications reached, queuing chunk {}", chunk_id);
 +        }
++
 +        // Create replication task
 +        let task_id = format!("repl_{}_{}", chunk_id, Utc::now().timestamp());
 +        let task = ReplicationTask {
 +            task_id: task_id.clone(),
 +            chunk_id: chunk_id.clone(),
 +            content_type,
 +            trigger_reason: TriggerReason::NodeFailure {
 +                failed_nodes: failed_nodes.to_vec(),
 +            },
 +            source_replicas: chunk_health.replica_health
 +                .iter()
 +                .filter(|replica| matches!(replica.status, ReplicaStatus::Healthy))
 +                .map(|replica| replica.replica_id.clone())
 +                .collect(),
 +            target_nodes: Vec::new(), // Will be determined during planning
 +            status: TaskStatus::Queued,
 +            progress: TaskProgress {
 +                stage: ReplicationStage::Initializing,
 +                percentage_complete: 0.0,
 +                bytes_transferred: 0,
 +                total_bytes: 0, // Would be determined from chunk size
 +                transfer_rate_mbps: 0.0,
 +                estimated_time_remaining_seconds: 0,
 +                current_operation: "Queued for replication".to_string(),
 +            },
 +            created_at: Utc::now(),
 +            started_at: None,
 +            completed_at: None,
 +            estimated_completion: None,
 +            resource_usage: ResourceUsage {
 +                bandwidth_used_mbps: 0.0,
 +                storage_used_gb: 0,
 +                cpu_usage_percent: 0.0,
 +                cost_incurred: 0.0,
 +                network_transfers: 0,
 +            },
 +        };
++
 +        self.active_tasks.insert(task_id.clone(), task);
 +        self.metrics.total_replications_triggered += 1;
++
 +        tracing::info!("Triggered replication for chunk {} (task: {})", chunk_id, task_id);
++
 +        // Schedule task execution based on policy strategy
 +        match &policy.replication_strategy {
 +            ReplicationResponseStrategy::Immediate => {
 +                self.execute_replication_task(task_id.clone()).await?;
 +            },
 +            ReplicationResponseStrategy::Delayed { delay_seconds } => {
 +                // In real implementation, would schedule with delay
 +                tokio::spawn(async move {
 +                    sleep(TokioDuration::from_secs(*delay_seconds as u64)).await;
 +                    // Execute task after delay
 +                });
 +            },
 +            _ => {
 +                // Handle other strategies
 +            }
 +        }
++
 +        Ok(task_id)
 +    }
++
 +    /// Execute replication task
 +    async fn execute_replication_task(&mut self, task_id: String) -> Result<()> {
 +        let task = self.active_tasks.get_mut(&task_id)
 +            .ok_or_else(|| anyhow::anyhow!("Replication task not found"))?;
++
 +        task.status = TaskStatus::Planning;
 +        task.started_at = Some(Utc::now());
 +        task.progress.stage = ReplicationStage::SelectingNodes;
 +        task.progress.current_operation = "Selecting target nodes".to_string();
++
 +        tracing::info!("Executing replication task {}", task_id);
++
 +        // Select target nodes
 +        let target_nodes = self.select_target_nodes(&task.chunk_id, &task.content_type).await?;
++
 +        if target_nodes.is_empty() {
 +            task.status = TaskStatus::Failed;
 +            self.metrics.failed_replications += 1;
 +            return Err(anyhow::anyhow!("No suitable target nodes found"));
 +        }
++
 +        task.target_nodes = target_nodes;
 +        task.status = TaskStatus::Executing;
 +        task.progress.stage = ReplicationStage::Transferring;
++
 +        // Execute the actual replication
 +        self.perform_replication(&task_id).await?;
++
 +        Ok(())
 +    }
++
 +    /// Select target nodes for replication
 +    async fn select_target_nodes(&self, chunk_id: &str, content_type: &ContentType) -> Result<Vec<String>> {
 +        // Simplified node selection - in real implementation would use
 +        // the intelligent replication manager
 +        let available_nodes: Vec<String> = self.node_status
 +            .iter()
 +            .filter(|(_, status)| matches!(status.status, NodeState::Online))
 +            .map(|(node_id, _)| node_id.clone())
 +            .take(2) // Select 2 replacement nodes
 +            .collect();
++
 +        Ok(available_nodes)
 +    }
++
 +    /// Perform the actual replication
 +    async fn perform_replication(&mut self, task_id: &str) -> Result<()> {
 +        let task = self.active_tasks.get_mut(task_id)
 +            .ok_or_else(|| anyhow::anyhow!("Task not found"))?;
++
 +        // Simulate replication process
 +        task.progress.current_operation = "Transferring data".to_string();
 +        task.progress.total_bytes = 1_000_000_000; // 1GB example
++
 +        // Simulate transfer progress
 +        for i in 0..=10 {
 +            task.progress.percentage_complete = i as f64 * 10.0;
 +            task.progress.bytes_transferred = (task.progress.total_bytes as f64 * (i as f64 / 10.0)) as u64;
 +            task.progress.current_operation = format!("Transferring chunk data ({:.0}%)", task.progress.percentage_complete);
++
 +            // Simulate transfer time
 +            sleep(TokioDuration::from_millis(100)).await;
 +        }
++
 +        // Verification stage
 +        task.progress.stage = ReplicationStage::Verifying;
 +        task.progress.current_operation = "Verifying replica integrity".to_string();
 +        sleep(TokioDuration::from_millis(200)).await;
++
 +        // Finalization
 +        task.progress.stage = ReplicationStage::Finalizing;
 +        task.progress.current_operation = "Finalizing replication".to_string();
 +        task.status = TaskStatus::Completed;
 +        task.completed_at = Some(Utc::now());
 +        task.progress.percentage_complete = 100.0;
++
 +        // Update metrics
 +        self.metrics.successful_replications += 1;
 +        if let Some(started_at) = task.started_at {
 +            let duration = (Utc::now() - started_at).num_seconds() as f64;
 +            self.metrics.average_replication_time_seconds =
 +                (self.metrics.average_replication_time_seconds * (self.metrics.successful_replications - 1) as f64 + duration)
 +                / self.metrics.successful_replications as f64;
 +        }
++
 +        tracing::info!("Replication task {} completed successfully", task_id);
++
 +        Ok(())
 +    }
++
 +    /// Check other trigger conditions beyond node failures
 +    async fn check_other_trigger_conditions(&mut self, chunk_health_data: &HashMap<String, ChunkHealth>) -> Result<()> {
 +        for (chunk_id, chunk_health) in chunk_health_data {
 +            // Check health score thresholds
 +            if chunk_health.availability_score < 70.0 {
 +                match chunk_health.overall_health {
 +                    HealthStatus::Critical | HealthStatus::Failed => {
 +                        if !self.active_tasks.values().any(|task| task.chunk_id == *chunk_id) {
 +                            self.trigger_replication(
 +                                chunk_id.clone(),
 +                                chunk_health,
 +                                &[], // No specific failed nodes
 +                            ).await?;
 +                        }
 +                    },
 +                    _ => {}
 +                }
 +            }
++
 +            // Check geographic distribution
 +            let regions: HashSet<_> = chunk_health.replica_health
 +                .iter()
 +                .filter(|replica| matches!(replica.status, ReplicaStatus::Healthy))
 +                .map(|replica| &replica.region)
 +                .collect();
++
 +            if regions.len() < 2 {
 +                // Consider triggering replication for better geographic distribution
 +                tracing::warn!("Chunk {} has poor geographic distribution ({} regions)", chunk_id, regions.len());
 +            }
 +        }
++
 +        Ok(())
 +    }
++
 +    /// Clean up completed tasks
 +    pub fn cleanup_completed_tasks(&mut self) {
 +        let cutoff_time = Utc::now() - Duration::hours(24); // Keep completed tasks for 24 hours
++
 +        self.active_tasks.retain(|_, task| {
 +            if matches!(task.status, TaskStatus::Completed | TaskStatus::Failed | TaskStatus::Cancelled) {
 +                if let Some(completed_at) = task.completed_at {
 +                    completed_at > cutoff_time
 +                } else {
 +                    task.created_at > cutoff_time
 +                }
 +            } else {
 +                true // Keep active tasks
 +            }
 +        });
 +    }
++
 +    /// Get replication status summary
 +    pub fn get_replication_status(&self) -> ReplicationStatus {
 +        let active_count = self.active_tasks.values()
 +            .filter(|task| matches!(task.status, TaskStatus::Queued | TaskStatus::Executing))
 +            .count();
++
 +        let completed_count = self.active_tasks.values()
 +            .filter(|task| matches!(task.status, TaskStatus::Completed))
 +            .count();
++
 +        let failed_count = self.active_tasks.values()
 +            .filter(|task| matches!(task.status, TaskStatus::Failed))
 +            .count();
++
 +        ReplicationStatus {
 +            active_replications: active_count as u32,
 +            completed_replications: completed_count as u32,
 +            failed_replications: failed_count as u32,
 +            total_nodes_online: self.node_status.values()
 +                .filter(|status| matches!(status.status, NodeState::Online))
 +                .count() as u32,
 +            total_nodes_offline: self.node_status.values()
 +                .filter(|status| matches!(status.status, NodeState::Offline))
 +                .count() as u32,
 +            average_replication_time: self.metrics.average_replication_time_seconds,
 +            total_data_replicated: self.metrics.total_data_recovered_gb,
 +            metrics: self.metrics.clone(),
 +        }
 +    }
++
 +    /// Run continuous monitoring and auto-replication
 +    pub async fn run_auto_replication_loop(&mut self, chunk_health_data: HashMap<String, ChunkHealth>) -> Result<()> {
 +        let mut check_interval = tokio::time::interval(TokioDuration::from_secs(
 +            self.failure_detection.heartbeat_interval_seconds as u64
 +        ));
++
 +        loop {
 +            check_interval.tick().await;
++
 +            // Detect failures and trigger replication
 +            if let Err(e) = self.detect_failures_and_replicate(&chunk_health_data).await {
 +                tracing::error!("Auto-replication check failed: {}", e);
 +            }
++
 +            // Clean up old tasks
 +            self.cleanup_completed_tasks();
++
 +            // Update metrics
 +            self.metrics.last_updated = Utc::now();
++
 +            tracing::debug!("Auto-replication check complete. Active tasks: {}", self.active_tasks.len());
 +        }
 +    }
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ReplicationStatus {
 +    pub active_replications: u32,
 +    pub completed_replications: u32,
 +    pub failed_replications: u32,
 +    pub total_nodes_online: u32,
 +    pub total_nodes_offline: u32,
 +    pub average_replication_time: f64,
 +    pub total_data_replicated: u64,
 +    pub metrics: AutoReplicationMetrics,
 +}
++
 +#[cfg(test)]
 +mod tests {
 +    use super::*;
++
 +    #[test]
 +    fn test_auto_replication_manager_creation() {
 +        let manager = AutoReplicationManager::new();
 +        assert!(!manager.replication_policies.is_empty());
 +        assert!(manager.failure_detection.heartbeat_interval_seconds > 0);
 +        assert!(manager.emergency_config.enable_emergency_mode);
 +    }
++
 +    #[test]
 +    fn test_node_status_updates() {
 +        let mut manager = AutoReplicationManager::new();
++
 +        // Add node as online
 +        manager.update_node_status("node1".to_string(), NodeState::Online);
 +        assert_eq!(manager.node_status.len(), 1);
++
 +        // Update to offline
 +        manager.update_node_status("node1".to_string(), NodeState::Offline);
 +        let status = manager.node_status.get("node1").unwrap();
 +        assert_eq!(status.consecutive_failures, 1);
 +        assert!(!status.failure_history.is_empty());
++
 +        // Back to online
 +        manager.update_node_status("node1".to_string(), NodeState::Online);
 +        let status = manager.node_status.get("node1").unwrap();
 +        assert_eq!(status.consecutive_failures, 0);
 +    }
++
 +    #[test]
 +    fn test_failure_detection() {
 +        let mut manager = AutoReplicationManager::new();
++
 +        // Add some nodes
 +        manager.update_node_status("node1".to_string(), NodeState::Online);
 +        manager.update_node_status("node2".to_string(), NodeState::Offline);
 +        manager.update_node_status("node3".to_string(), NodeState::Unknown);
++
 +        let failed_nodes = manager.detect_failed_nodes();
 +        assert!(failed_nodes.contains(&"node2".to_string()));
 +        assert!(failed_nodes.contains(&"node3".to_string()));
 +        assert!(!failed_nodes.contains(&"node1".to_string()));
 +    }
++
 +    #[tokio::test]
 +    async fn test_replication_trigger() {
 +        let mut manager = AutoReplicationManager::new();
++
 +        // Create mock chunk health with failed replica
 +        let chunk_health = ChunkHealth {
 +            chunk_id: "test_chunk".to_string(),
 +            overall_health: HealthStatus::Critical,
 +            replica_health: vec![
 +                ReplicaHealth {
 +                    replica_id: "replica1".to_string(),
 +                    node_id: "failed_node".to_string(),
 +                    region: GeographicRegion::NorthAmerica,
 +                    status: ReplicaStatus::Unreachable,
 +                    health_score: 0.0,
 +                    last_accessed: Utc::now(),
 +                    last_verified: Utc::now(),
 +                    integrity_hash: "hash1".to_string(),
 +                    performance_metrics: super::super::health_monitor::ReplicaPerformanceMetrics {
 +                        response_time_ms: 0.0,
 +                        transfer_speed_mbps: 0.0,
 +                        success_rate: 0.0,
 +                        error_count: 0,
 +                        last_error: None,
 +                        uptime_percentage: 0.0,
 +                    },
 +                    connectivity_status: super::super::health_monitor::ConnectivityStatus::Offline,
 +                },
 +            ],
 +            integrity_status: super::super::health_monitor::IntegrityStatus::Unknown,
 +            availability_score: 30.0,
 +            durability_score: 30.0,
 +            performance_metrics: super::super::health_monitor::ChunkPerformanceMetrics {
 +                avg_response_time_ms: 0.0,
 +                success_rate: 0.0,
 +                throughput_mbps: 0.0,
 +                error_rate: 100.0,
 +                access_frequency: super::super::health_monitor::AccessFrequency::Low,
 +                bandwidth_utilization: 0.0,
 +            },
 +            last_verified: Utc::now(),
 +            next_check_due: Utc::now(),
 +            risk_factors: vec![],
 +            repair_history: vec![],
 +        };
++
 +        let failed_nodes = vec!["failed_node".to_string()];
++
 +        let task_id = manager.trigger_replication(
 +            "test_chunk".to_string(),
 +            &chunk_health,
 +            &failed_nodes,
 +        ).await.unwrap();
++
 +        assert!(!task_id.is_empty());
 +        assert!(manager.active_tasks.contains_key(&task_id));
++
 +        let task = manager.active_tasks.get(&task_id).unwrap();
 +        assert_eq!(task.chunk_id, "test_chunk");
 +        assert!(matches!(task.trigger_reason, TriggerReason::NodeFailure { .. }));
 +    }
 +}

src/redundancy/geographic_optimizer.rsadded

1108 lines changed — click to load

 +//! Geographic Distribution Optimization
 +//!
 +//! Advanced geographic distribution system that optimizes data placement
 +//! for latency, durability, and regulatory compliance
++
 +use anyhow::Result;
 +use serde::{Deserialize, Serialize};
 +use std::collections::{HashMap, BTreeMap};
 +use chrono::{DateTime, Utc, Duration};
++
 +use crate::economics::GeographicRegion;
++
 +/// Geographic distribution optimizer
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct GeographicOptimizer {
 +    /// Regional infrastructure mapping
 +    pub region_info: HashMap<GeographicRegion, RegionInfo>,
 +    /// Latency matrix between regions
 +    pub latency_matrix: LatencyMatrix,
 +    /// Regulatory compliance requirements
 +    pub compliance_rules: HashMap<String, ComplianceRule>,
 +    /// Cost optimization settings
 +    pub cost_optimization: CostOptimizationSettings,
 +    /// Performance analytics
 +    pub performance_analytics: PerformanceAnalytics,
 +    /// Real-time network conditions
 +    pub network_conditions: HashMap<GeographicRegion, NetworkCondition>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RegionInfo {
 +    pub region: GeographicRegion,
 +    pub name: String,
 +    pub country_codes: Vec<String>,
 +    pub timezone_offset: i32,
 +    pub data_sovereignty_laws: Vec<String>,
 +    pub infrastructure_quality: InfrastructureQuality,
 +    pub cost_factors: CostFactors,
 +    pub capacity_info: RegionalCapacity,
 +    pub disaster_risk: DisasterRisk,
 +    pub political_stability: f64, // 0.0 to 1.0
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct InfrastructureQuality {
 +    pub internet_penetration: f64,
 +    pub average_bandwidth_mbps: f64,
 +    pub fiber_coverage: f64,
 +    pub power_reliability: f64,
 +    pub data_center_density: u32,
 +    pub submarine_cable_connections: u32,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CostFactors {
 +    pub electricity_cost_per_kwh: f64,
 +    pub data_center_costs: f64,
 +    pub labor_costs: f64,
 +    pub regulatory_overhead: f64,
 +    pub tax_rates: f64,
 +    pub currency_stability: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RegionalCapacity {
 +    pub total_nodes: u32,
 +    pub active_nodes: u32,
 +    pub total_storage_gb: u64,
 +    pub available_storage_gb: u64,
 +    pub utilization_rate: f64,
 +    pub growth_rate_monthly: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct DisasterRisk {
 +    pub natural_disasters: f64,     // 0.0 to 1.0
 +    pub political_instability: f64, // 0.0 to 1.0
 +    pub cyber_security_threats: f64, // 0.0 to 1.0
 +    pub infrastructure_fragility: f64, // 0.0 to 1.0
 +    pub overall_risk_score: f64,    // Composite score
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct LatencyMatrix {
 +    /// Latency measurements between regions (in milliseconds)
 +    pub measurements: HashMap<(GeographicRegion, GeographicRegion), LatencyMeasurement>,
 +    /// Last update timestamp
 +    pub last_updated: DateTime<Utc>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct LatencyMeasurement {
 +    pub avg_latency_ms: f64,
 +    pub min_latency_ms: f64,
 +    pub max_latency_ms: f64,
 +    pub jitter_ms: f64,
 +    pub packet_loss: f64,
 +    pub bandwidth_mbps: f64,
 +    pub measurement_count: u32,
 +    pub last_measured: DateTime<Utc>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ComplianceRule {
 +    pub rule_id: String,
 +    pub name: String,
 +    pub description: String,
 +    pub applicable_regions: Vec<GeographicRegion>,
 +    pub data_residency_required: bool,
 +    pub cross_border_restrictions: Vec<GeographicRegion>,
 +    pub encryption_requirements: Vec<String>,
 +    pub audit_requirements: Vec<String>,
 +    pub data_retention_days: Option<u32>,
 +    pub severity: ComplianceSeverity,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ComplianceSeverity {
 +    Critical,    // Must comply
 +    Important,   // Should comply
 +    Recommended, // Nice to comply
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CostOptimizationSettings {
 +    pub enable_cost_optimization: bool,
 +    pub cost_weight: f64,
 +    pub latency_weight: f64,
 +    pub reliability_weight: f64,
 +    pub compliance_weight: f64,
 +    pub preferred_cost_regions: Vec<GeographicRegion>,
 +    pub max_cost_difference_percent: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PerformanceAnalytics {
 +    pub regional_performance: HashMap<GeographicRegion, RegionalPerformance>,
 +    pub cross_region_performance: HashMap<(GeographicRegion, GeographicRegion), CrossRegionPerformance>,
 +    pub optimization_history: Vec<OptimizationEvent>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RegionalPerformance {
 +    pub region: GeographicRegion,
 +    pub avg_response_time_ms: f64,
 +    pub success_rate: f64,
 +    pub throughput_mbps: f64,
 +    pub availability: f64,
 +    pub cost_per_gb: f64,
 +    pub user_satisfaction: f64,
 +    pub last_updated: DateTime<Utc>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CrossRegionPerformance {
 +    pub source_region: GeographicRegion,
 +    pub target_region: GeographicRegion,
 +    pub transfer_speed_mbps: f64,
 +    pub latency_ms: f64,
 +    pub reliability: f64,
 +    pub cost_per_gb_transfer: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct OptimizationEvent {
 +    pub timestamp: DateTime<Utc>,
 +    pub event_type: OptimizationEventType,
 +    pub affected_regions: Vec<GeographicRegion>,
 +    pub improvement_metrics: HashMap<String, f64>,
 +    pub cost_impact: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum OptimizationEventType {
 +    RegionalRebalancing,
 +    LatencyOptimization,
 +    CostOptimization,
 +    ComplianceAdjustment,
 +    DisasterResponse,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct NetworkCondition {
 +    pub region: GeographicRegion,
 +    pub current_load: f64,           // 0.0 to 1.0
 +    pub available_bandwidth: f64,    // Mbps
 +    pub congestion_level: CongestionLevel,
 +    pub incident_count: u32,
 +    pub predicted_performance: f64,  // 0.0 to 1.0
 +    pub last_updated: DateTime<Utc>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum CongestionLevel {
 +    Minimal,
 +    Light,
 +    Moderate,
 +    Heavy,
 +    Severe,
 +}
++
 +impl GeographicOptimizer {
 +    /// Create new geographic optimizer
 +    pub fn new() -> Self {
 +        let mut optimizer = Self {
 +            region_info: HashMap::new(),
 +            latency_matrix: LatencyMatrix {
 +                measurements: HashMap::new(),
 +                last_updated: Utc::now(),
 +            },
 +            compliance_rules: HashMap::new(),
 +            cost_optimization: CostOptimizationSettings {
 +                enable_cost_optimization: true,
 +                cost_weight: 0.3,
 +                latency_weight: 0.4,
 +                reliability_weight: 0.2,
 +                compliance_weight: 0.1,
 +                preferred_cost_regions: vec![
 +                    GeographicRegion::Asia,
 +                    GeographicRegion::SouthAmerica,
 +                ],
 +                max_cost_difference_percent: 50.0,
 +            },
 +            performance_analytics: PerformanceAnalytics {
 +                regional_performance: HashMap::new(),
 +                cross_region_performance: HashMap::new(),
 +                optimization_history: Vec::new(),
 +            },
 +            network_conditions: HashMap::new(),
 +        };
++
 +        optimizer.initialize_region_info();
 +        optimizer.initialize_compliance_rules();
 +        optimizer.initialize_latency_matrix();
++
 +        optimizer
 +    }
++
 +    /// Initialize region information
 +    fn initialize_region_info(&mut self) {
 +        // North America
 +        self.region_info.insert(GeographicRegion::NorthAmerica, RegionInfo {
 +            region: GeographicRegion::NorthAmerica,
 +            name: "North America".to_string(),
 +            country_codes: vec!["US".to_string(), "CA".to_string(), "MX".to_string()],
 +            timezone_offset: -5, // EST
 +            data_sovereignty_laws: vec!["CCPA".to_string(), "PIPEDA".to_string()],
 +            infrastructure_quality: InfrastructureQuality {
 +                internet_penetration: 95.0,
 +                average_bandwidth_mbps: 100.0,
 +                fiber_coverage: 80.0,
 +                power_reliability: 99.9,
 +                data_center_density: 150,
 +                submarine_cable_connections: 25,
 +            },
 +            cost_factors: CostFactors {
 +                electricity_cost_per_kwh: 0.12,
 +                data_center_costs: 1.0, // Baseline
 +                labor_costs: 1.0,
 +                regulatory_overhead: 0.3,
 +                tax_rates: 0.25,
 +                currency_stability: 0.95,
 +            },
 +            capacity_info: RegionalCapacity {
 +                total_nodes: 5000,
 +                active_nodes: 4800,
 +                total_storage_gb: 50_000_000,
 +                available_storage_gb: 15_000_000,
 +                utilization_rate: 70.0,
 +                growth_rate_monthly: 5.0,
 +            },
 +            disaster_risk: DisasterRisk {
 +                natural_disasters: 0.3,
 +                political_instability: 0.1,
 +                cyber_security_threats: 0.4,
 +                infrastructure_fragility: 0.2,
 +                overall_risk_score: 0.25,
 +            },
 +            political_stability: 0.85,
 +        });
++
 +        // Europe
 +        self.region_info.insert(GeographicRegion::Europe, RegionInfo {
 +            region: GeographicRegion::Europe,
 +            name: "Europe".to_string(),
 +            country_codes: vec!["DE".to_string(), "FR".to_string(), "GB".to_string(), "NL".to_string()],
 +            timezone_offset: 1, // CET
 +            data_sovereignty_laws: vec!["GDPR".to_string(), "DPA".to_string()],
 +            infrastructure_quality: InfrastructureQuality {
 +                internet_penetration: 92.0,
 +                average_bandwidth_mbps: 80.0,
 +                fiber_coverage: 75.0,
 +                power_reliability: 99.8,
 +                data_center_density: 120,
 +                submarine_cable_connections: 30,
 +            },
 +            cost_factors: CostFactors {
 +                electricity_cost_per_kwh: 0.20,
 +                data_center_costs: 1.2,
 +                labor_costs: 1.1,
 +                regulatory_overhead: 0.5,
 +                tax_rates: 0.30,
 +                currency_stability: 0.90,
 +            },
 +            capacity_info: RegionalCapacity {
 +                total_nodes: 4000,
 +                active_nodes: 3900,
 +                total_storage_gb: 40_000_000,
 +                available_storage_gb: 12_000_000,
 +                utilization_rate: 70.0,
 +                growth_rate_monthly: 4.0,
 +            },
 +            disaster_risk: DisasterRisk {
 +                natural_disasters: 0.2,
 +                political_instability: 0.2,
 +                cyber_security_threats: 0.3,
 +                infrastructure_fragility: 0.1,
 +                overall_risk_score: 0.20,
 +            },
 +            political_stability: 0.90,
 +        });
++
 +        // Asia
 +        self.region_info.insert(GeographicRegion::Asia, RegionInfo {
 +            region: GeographicRegion::Asia,
 +            name: "Asia Pacific".to_string(),
 +            country_codes: vec!["JP".to_string(), "SG".to_string(), "KR".to_string(), "AU".to_string()],
 +            timezone_offset: 9, // JST
 +            data_sovereignty_laws: vec!["PDPA".to_string(), "Privacy_Act".to_string()],
 +            infrastructure_quality: InfrastructureQuality {
 +                internet_penetration: 85.0,
 +                average_bandwidth_mbps: 120.0,
 +                fiber_coverage: 90.0,
 +                power_reliability: 99.5,
 +                data_center_density: 100,
 +                submarine_cable_connections: 40,
 +            },
 +            cost_factors: CostFactors {
 +                electricity_cost_per_kwh: 0.08,
 +                data_center_costs: 0.7,
 +                labor_costs: 0.6,
 +                regulatory_overhead: 0.2,
 +                tax_rates: 0.20,
 +                currency_stability: 0.85,
 +            },
 +            capacity_info: RegionalCapacity {
 +                total_nodes: 6000,
 +                active_nodes: 5500,
 +                total_storage_gb: 60_000_000,
 +                available_storage_gb: 20_000_000,
 +                utilization_rate: 67.0,
 +                growth_rate_monthly: 8.0,
 +            },
 +            disaster_risk: DisasterRisk {
 +                natural_disasters: 0.5,
 +                political_instability: 0.3,
 +                cyber_security_threats: 0.4,
 +                infrastructure_fragility: 0.3,
 +                overall_risk_score: 0.38,
 +            },
 +            political_stability: 0.80,
 +        });
++
 +        // Add other regions...
 +        self.initialize_remaining_regions();
 +    }
++
 +    /// Initialize remaining regions
 +    fn initialize_remaining_regions(&mut self) {
 +        // South America
 +        self.region_info.insert(GeographicRegion::SouthAmerica, RegionInfo {
 +            region: GeographicRegion::SouthAmerica,
 +            name: "South America".to_string(),
 +            country_codes: vec!["BR".to_string(), "AR".to_string(), "CL".to_string()],
 +            timezone_offset: -3,
 +            data_sovereignty_laws: vec!["LGPD".to_string()],
 +            infrastructure_quality: InfrastructureQuality {
 +                internet_penetration: 70.0,
 +                average_bandwidth_mbps: 40.0,
 +                fiber_coverage: 45.0,
 +                power_reliability: 97.0,
 +                data_center_density: 30,
 +                submarine_cable_connections: 8,
 +            },
 +            cost_factors: CostFactors {
 +                electricity_cost_per_kwh: 0.05,
 +                data_center_costs: 0.5,
 +                labor_costs: 0.4,
 +                regulatory_overhead: 0.15,
 +                tax_rates: 0.25,
 +                currency_stability: 0.70,
 +            },
 +            capacity_info: RegionalCapacity {
 +                total_nodes: 1000,
 +                active_nodes: 800,
 +                total_storage_gb: 8_000_000,
 +                available_storage_gb: 3_000_000,
 +                utilization_rate: 62.0,
 +                growth_rate_monthly: 12.0,
 +            },
 +            disaster_risk: DisasterRisk {
 +                natural_disasters: 0.4,
 +                political_instability: 0.4,
 +                cyber_security_threats: 0.3,
 +                infrastructure_fragility: 0.4,
 +                overall_risk_score: 0.38,
 +            },
 +            political_stability: 0.70,
 +        });
++
 +        // Africa
 +        self.region_info.insert(GeographicRegion::Africa, RegionInfo {
 +            region: GeographicRegion::Africa,
 +            name: "Africa".to_string(),
 +            country_codes: vec!["ZA".to_string(), "NG".to_string(), "EG".to_string()],
 +            timezone_offset: 2,
 +            data_sovereignty_laws: vec!["POPIA".to_string()],
 +            infrastructure_quality: InfrastructureQuality {
 +                internet_penetration: 50.0,
 +                average_bandwidth_mbps: 20.0,
 +                fiber_coverage: 25.0,
 +                power_reliability: 85.0,
 +                data_center_density: 15,
 +                submarine_cable_connections: 12,
 +            },
 +            cost_factors: CostFactors {
 +                electricity_cost_per_kwh: 0.08,
 +                data_center_costs: 0.6,
 +                labor_costs: 0.3,
 +                regulatory_overhead: 0.1,
 +                tax_rates: 0.15,
 +                currency_stability: 0.60,
 +            },
 +            capacity_info: RegionalCapacity {
 +                total_nodes: 200,
 +                active_nodes: 150,
 +                total_storage_gb: 1_500_000,
 +                available_storage_gb: 800_000,
 +                utilization_rate: 47.0,
 +                growth_rate_monthly: 15.0,
 +            },
 +            disaster_risk: DisasterRisk {
 +                natural_disasters: 0.3,
 +                political_instability: 0.6,
 +                cyber_security_threats: 0.5,
 +                infrastructure_fragility: 0.7,
 +                overall_risk_score: 0.53,
 +            },
 +            political_stability: 0.60,
 +        });
++
 +        // Oceania
 +        self.region_info.insert(GeographicRegion::Oceania, RegionInfo {
 +            region: GeographicRegion::Oceania,
 +            name: "Oceania".to_string(),
 +            country_codes: vec!["AU".to_string(), "NZ".to_string()],
 +            timezone_offset: 10,
 +            data_sovereignty_laws: vec!["Privacy_Act_AU".to_string(), "Privacy_Act_NZ".to_string()],
 +            infrastructure_quality: InfrastructureQuality {
 +                internet_penetration: 90.0,
 +                average_bandwidth_mbps: 60.0,
 +                fiber_coverage: 70.0,
 +                power_reliability: 99.0,
 +                data_center_density: 25,
 +                submarine_cable_connections: 15,
 +            },
 +            cost_factors: CostFactors {
 +                electricity_cost_per_kwh: 0.15,
 +                data_center_costs: 1.1,
 +                labor_costs: 1.2,
 +                regulatory_overhead: 0.2,
 +                tax_rates: 0.20,
 +                currency_stability: 0.85,
 +            },
 +            capacity_info: RegionalCapacity {
 +                total_nodes: 800,
 +                active_nodes: 750,
 +                total_storage_gb: 6_000_000,
 +                available_storage_gb: 2_000_000,
 +                utilization_rate: 67.0,
 +                growth_rate_monthly: 6.0,
 +            },
 +            disaster_risk: DisasterRisk {
 +                natural_disasters: 0.6,
 +                political_instability: 0.1,
 +                cyber_security_threats: 0.2,
 +                infrastructure_fragility: 0.2,
 +                overall_risk_score: 0.28,
 +            },
 +            political_stability: 0.95,
 +        });
 +    }
++
 +    /// Initialize compliance rules
 +    fn initialize_compliance_rules(&mut self) {
 +        // GDPR
 +        self.compliance_rules.insert("gdpr".to_string(), ComplianceRule {
 +            rule_id: "gdpr".to_string(),
 +            name: "General Data Protection Regulation".to_string(),
 +            description: "EU data protection regulation".to_string(),
 +            applicable_regions: vec![GeographicRegion::Europe],
 +            data_residency_required: true,
 +            cross_border_restrictions: vec![
 +                GeographicRegion::NorthAmerica, // Requires adequacy decision
 +            ],
 +            encryption_requirements: vec!["AES-256".to_string()],
 +            audit_requirements: vec!["regular_audit".to_string(), "breach_notification".to_string()],
 +            data_retention_days: Some(2555), // 7 years
 +            severity: ComplianceSeverity::Critical,
 +        });
++
 +        // CCPA
 +        self.compliance_rules.insert("ccpa".to_string(), ComplianceRule {
 +            rule_id: "ccpa".to_string(),
 +            name: "California Consumer Privacy Act".to_string(),
 +            description: "California privacy regulation".to_string(),
 +            applicable_regions: vec![GeographicRegion::NorthAmerica],
 +            data_residency_required: false,
 +            cross_border_restrictions: vec![],
 +            encryption_requirements: vec!["encryption_at_rest".to_string()],
 +            audit_requirements: vec!["privacy_audit".to_string()],
 +            data_retention_days: Some(1095), // 3 years
 +            severity: ComplianceSeverity::Important,
 +        });
++
 +        // Data Sovereignty (General)
 +        self.compliance_rules.insert("data_sovereignty".to_string(), ComplianceRule {
 +            rule_id: "data_sovereignty".to_string(),
 +            name: "Data Sovereignty Requirements".to_string(),
 +            description: "General data sovereignty compliance".to_string(),
 +            applicable_regions: vec![
 +                GeographicRegion::Europe,
 +                GeographicRegion::Asia,
 +                GeographicRegion::Oceania,
 +            ],
 +            data_residency_required: true,
 +            cross_border_restrictions: vec![],
 +            encryption_requirements: vec!["sovereign_encryption".to_string()],
 +            audit_requirements: vec!["sovereignty_audit".to_string()],
 +            data_retention_days: None,
 +            severity: ComplianceSeverity::Critical,
 +        });
 +    }
++
 +    /// Initialize latency matrix with baseline measurements
 +    fn initialize_latency_matrix(&mut self) {
 +        let regions = vec![
 +            GeographicRegion::NorthAmerica,
 +            GeographicRegion::Europe,
 +            GeographicRegion::Asia,
 +            GeographicRegion::SouthAmerica,
 +            GeographicRegion::Africa,
 +            GeographicRegion::Oceania,
 +        ];
++
 +        // Initialize with estimated latencies
 +        for (i, region_a) in regions.iter().enumerate() {
 +            for (j, region_b) in regions.iter().enumerate() {
 +                if i != j {
 +                    let estimated_latency = self.estimate_baseline_latency(region_a, region_b);
++
 +                    self.latency_matrix.measurements.insert(
 +                        (region_a.clone(), region_b.clone()),
 +                        LatencyMeasurement {
 +                            avg_latency_ms: estimated_latency,
 +                            min_latency_ms: estimated_latency * 0.8,
 +                            max_latency_ms: estimated_latency * 1.5,
 +                            jitter_ms: estimated_latency * 0.1,
 +                            packet_loss: 0.01,
 +                            bandwidth_mbps: 100.0,
 +                            measurement_count: 10,
 +                            last_measured: Utc::now(),
 +                        },
 +                    );
 +                }
 +            }
 +        }
++
 +        self.latency_matrix.last_updated = Utc::now();
 +    }
++
 +    /// Estimate baseline latency between regions
 +    fn estimate_baseline_latency(&self, region_a: &GeographicRegion, region_b: &GeographicRegion) -> f64 {
 +        use GeographicRegion::*;
++
 +        match (region_a, region_b) {
 +            // North America connections
 +            (NorthAmerica, Europe) | (Europe, NorthAmerica) => 120.0,
 +            (NorthAmerica, Asia) | (Asia, NorthAmerica) => 180.0,
 +            (NorthAmerica, SouthAmerica) | (SouthAmerica, NorthAmerica) => 160.0,
 +            (NorthAmerica, Africa) | (Africa, NorthAmerica) => 200.0,
 +            (NorthAmerica, Oceania) | (Oceania, NorthAmerica) => 220.0,
++
 +            // Europe connections
 +            (Europe, Asia) | (Asia, Europe) => 140.0,
 +            (Europe, SouthAmerica) | (SouthAmerica, Europe) => 280.0,
 +            (Europe, Africa) | (Africa, Europe) => 100.0,
 +            (Europe, Oceania) | (Oceania, Europe) => 320.0,
++
 +            // Asia connections
 +            (Asia, SouthAmerica) | (SouthAmerica, Asia) => 350.0,
 +            (Asia, Africa) | (Africa, Asia) => 180.0,
 +            (Asia, Oceania) | (Oceania, Asia) => 120.0,
++
 +            // Other connections
 +            (SouthAmerica, Africa) | (Africa, SouthAmerica) => 250.0,
 +            (SouthAmerica, Oceania) | (Oceania, SouthAmerica) => 300.0,
 +            (Africa, Oceania) | (Oceania, Africa) => 280.0,
++
 +            // Rare region (treated as remote)
 +            (Rare, _) | (_, Rare) => 400.0,
++
 +            // Same region
 +            _ => 0.0,
 +        }
 +    }
++
 +    /// Optimize geographic distribution for a set of replicas
 +    pub fn optimize_geographic_distribution(
 +        &self,
 +        content_type: &str,
 +        target_replicas: u32,
 +        user_regions: &[GeographicRegion],
 +        constraints: &DistributionConstraints,
 +    ) -> Result<GeographicDistribution> {
 +        // Calculate region scores
 +        let region_scores = self.calculate_region_scores(user_regions, constraints)?;
++
 +        // Apply compliance filters
 +        let compliant_regions = self.filter_compliant_regions(&region_scores, constraints)?;
++
 +        // Select optimal regions
 +        let selected_regions = self.select_optimal_regions(
 +            compliant_regions,
 +            target_replicas,
 +            constraints,
 +        )?;
++
 +        // Calculate distribution metrics
 +        let distribution_metrics = self.calculate_distribution_metrics(&selected_regions, user_regions)?;
++
 +        Ok(GeographicDistribution {
 +            selected_regions,
 +            distribution_metrics,
 +            compliance_status: ComplianceStatus::Compliant,
 +            optimization_score: distribution_metrics.overall_score,
 +            estimated_cost: distribution_metrics.total_cost,
 +            estimated_latency: distribution_metrics.avg_latency,
 +        })
 +    }
++
 +    /// Calculate region performance scores
 +    fn calculate_region_scores(
 +        &self,
 +        user_regions: &[GeographicRegion],
 +        constraints: &DistributionConstraints,
 +    ) -> Result<HashMap<GeographicRegion, RegionScore>> {
 +        let mut region_scores = HashMap::new();
++
 +        for (region, info) in &self.region_info {
 +            // Skip regions with no capacity
 +            if info.capacity_info.available_storage_gb == 0 {
 +                continue;
 +            }
++
 +            let latency_score = self.calculate_latency_score(region, user_regions);
 +            let cost_score = self.calculate_cost_score(info);
 +            let reliability_score = self.calculate_reliability_score(info);
 +            let capacity_score = self.calculate_capacity_score(&info.capacity_info);
 +            let compliance_score = self.calculate_compliance_score(region, constraints);
++
 +            let weights = &self.cost_optimization;
 +            let overall_score = latency_score * weights.latency_weight
 +                + cost_score * weights.cost_weight
 +                + reliability_score * weights.reliability_weight
 +                + compliance_score * weights.compliance_weight;
++
 +            region_scores.insert(region.clone(), RegionScore {
 +                region: region.clone(),
 +                overall_score,
 +                latency_score,
 +                cost_score,
 +                reliability_score,
 +                capacity_score,
 +                compliance_score,
 +            });
 +        }
++
 +        Ok(region_scores)
 +    }
++
 +    /// Calculate latency score for a region
 +    fn calculate_latency_score(&self, region: &GeographicRegion, user_regions: &[GeographicRegion]) -> f64 {
 +        if user_regions.is_empty() {
 +            return 1.0;
 +        }
++
 +        let avg_latency = user_regions.iter()
 +            .filter_map(|user_region| {
 +                self.latency_matrix.measurements
 +                    .get(&(user_region.clone(), region.clone()))
 +                    .map(|measurement| measurement.avg_latency_ms)
 +            })
 +            .sum::<f64>() / user_regions.len() as f64;
++
 +        // Convert latency to score (lower latency = higher score)
 +        let max_acceptable_latency = 500.0; // ms
 +        ((max_acceptable_latency - avg_latency) / max_acceptable_latency).max(0.0)
 +    }
++
 +    /// Calculate cost score for a region
 +    fn calculate_cost_score(&self, region_info: &RegionInfo) -> f64 {
 +        let cost_factors = &region_info.cost_factors;
++
 +        // Normalize costs (lower cost = higher score)
 +        let electricity_score = 1.0 / (cost_factors.electricity_cost_per_kwh + 0.01);
 +        let datacenter_score = 1.0 / (cost_factors.data_center_costs + 0.1);
 +        let labor_score = 1.0 / (cost_factors.labor_costs + 0.1);
 +        let regulatory_score = 1.0 / (cost_factors.regulatory_overhead + 0.1);
++
 +        // Weighted average
 +        (electricity_score * 0.3 + datacenter_score * 0.3 + labor_score * 0.2 + regulatory_score * 0.2)
 +    }
++
 +    /// Calculate reliability score for a region
 +    fn calculate_reliability_score(&self, region_info: &RegionInfo) -> f64 {
 +        let infrastructure = &region_info.infrastructure_quality;
 +        let disaster_risk = &region_info.disaster_risk;
++
 +        let infrastructure_score = (infrastructure.power_reliability / 100.0)
 +            * (infrastructure.internet_penetration / 100.0)
 +            * (infrastructure.fiber_coverage / 100.0);
++
 +        let stability_score = region_info.political_stability * (1.0 - disaster_risk.overall_risk_score);
++
 +        (infrastructure_score + stability_score) / 2.0
 +    }
++
 +    /// Calculate capacity score for a region
 +    fn calculate_capacity_score(&self, capacity_info: &RegionalCapacity) -> f64 {
 +        let utilization_factor = 1.0 - (capacity_info.utilization_rate / 100.0);
 +        let growth_factor = (capacity_info.growth_rate_monthly / 20.0).min(1.0);
 +        let availability_factor = capacity_info.available_storage_gb as f64 / 1_000_000.0; // Scale to reasonable range
++
 +        (utilization_factor + growth_factor + availability_factor.min(1.0)) / 3.0
 +    }
++
 +    /// Calculate compliance score for a region
 +    fn calculate_compliance_score(&self, region: &GeographicRegion, constraints: &DistributionConstraints) -> f64 {
 +        let mut score = 1.0;
++
 +        for rule_id in &constraints.required_compliance {
 +            if let Some(rule) = self.compliance_rules.get(rule_id) {
 +                if !rule.applicable_regions.contains(region) {
 +                    match rule.severity {
 +                        ComplianceSeverity::Critical => score *= 0.0, // Cannot use this region
 +                        ComplianceSeverity::Important => score *= 0.5,
 +                        ComplianceSeverity::Recommended => score *= 0.8,
 +                    }
 +                }
 +            }
 +        }
++
 +        score
 +    }
++
 +    /// Filter regions by compliance requirements
 +    fn filter_compliant_regions(
 +        &self,
 +        region_scores: &HashMap<GeographicRegion, RegionScore>,
 +        constraints: &DistributionConstraints,
 +    ) -> Result<HashMap<GeographicRegion, RegionScore>> {
 +        let mut compliant_regions = HashMap::new();
++
 +        for (region, score) in region_scores {
 +            let mut is_compliant = true;
++
 +            // Check critical compliance requirements
 +            for rule_id in &constraints.required_compliance {
 +                if let Some(rule) = self.compliance_rules.get(rule_id) {
 +                    if matches!(rule.severity, ComplianceSeverity::Critical) {
 +                        if !rule.applicable_regions.contains(region) {
 +                            is_compliant = false;
 +                            break;
 +                        }
++
 +                        // Check cross-border restrictions
 +                        if rule.data_residency_required && !constraints.allowed_regions.contains(region) {
 +                            is_compliant = false;
 +                            break;
 +                        }
 +                    }
 +                }
 +            }
++
 +            // Check explicit region restrictions
 +            if !constraints.allowed_regions.is_empty() && !constraints.allowed_regions.contains(region) {
 +                is_compliant = false;
 +            }
++
 +            if constraints.forbidden_regions.contains(region) {
 +                is_compliant = false;
 +            }
++
 +            if is_compliant {
 +                compliant_regions.insert(region.clone(), score.clone());
 +            }
 +        }
++
 +        Ok(compliant_regions)
 +    }
++
 +    /// Select optimal regions based on scores and constraints
 +    fn select_optimal_regions(
 +        &self,
 +        mut region_scores: HashMap<GeographicRegion, RegionScore>,
 +        target_replicas: u32,
 +        constraints: &DistributionConstraints,
 +    ) -> Result<Vec<RegionAllocation>> {
 +        let mut selected_regions = Vec::new();
++
 +        // Sort regions by score
 +        let mut sorted_regions: Vec<_> = region_scores.into_iter().collect();
 +        sorted_regions.sort_by(|a, b| b.1.overall_score.partial_cmp(&a.1.overall_score).unwrap_or(std::cmp::Ordering::Equal));
++
 +        // Ensure minimum geographic diversity
 +        let mut regions_used = std::collections::HashSet::new();
 +        let min_regions = constraints.min_regions.max(1);
++
 +        // First pass: ensure minimum diversity
 +        for (region, score) in &sorted_regions {
 +            if regions_used.len() >= min_regions as usize {
 +                break;
 +            }
++
 +            if regions_used.insert(region.clone()) {
 +                let allocation = RegionAllocation {
 +                    region: region.clone(),
 +                    replica_count: 1,
 +                    score: score.clone(),
 +                    cost_per_replica: self.estimate_region_cost(region),
 +                };
 +                selected_regions.push(allocation);
 +            }
 +        }
++
 +        // Second pass: distribute remaining replicas
 +        let remaining_replicas = target_replicas.saturating_sub(selected_regions.len() as u32);
 +        for _ in 0..remaining_replicas {
 +            // Find best region for next replica
 +            let best_region = sorted_regions.iter()
 +                .find(|(region, _)| {
 +                    // Check if region can handle more replicas
 +                    let current_count = selected_regions.iter()
 +                        .find(|alloc| alloc.region == *region)
 +                        .map(|alloc| alloc.replica_count)
 +                        .unwrap_or(0);
++
 +                    current_count < constraints.max_replicas_per_region
 +                });
++
 +            if let Some((region, score)) = best_region {
 +                // Add replica to existing allocation or create new one
 +                if let Some(allocation) = selected_regions.iter_mut()
 +                    .find(|alloc| alloc.region == *region) {
 +                    allocation.replica_count += 1;
 +                } else {
 +                    selected_regions.push(RegionAllocation {
 +                        region: region.clone(),
 +                        replica_count: 1,
 +                        score: score.clone(),
 +                        cost_per_replica: self.estimate_region_cost(region),
 +                    });
 +                }
 +            } else {
 +                break; // No more suitable regions
 +            }
 +        }
++
 +        Ok(selected_regions)
 +    }
++
 +    /// Calculate distribution metrics
 +    fn calculate_distribution_metrics(
 +        &self,
 +        selected_regions: &[RegionAllocation],
 +        user_regions: &[GeographicRegion],
 +    ) -> Result<DistributionMetrics> {
 +        let total_replicas: u32 = selected_regions.iter().map(|alloc| alloc.replica_count).sum();
 +        let total_cost = selected_regions.iter()
 +            .map(|alloc| alloc.cost_per_replica * alloc.replica_count as f64)
 +            .sum();
++
 +        let avg_latency = if user_regions.is_empty() {
 +            100.0 // Default latency
 +        } else {
 +            let total_latency: f64 = selected_regions.iter()
 +                .flat_map(|alloc| {
 +                    user_regions.iter().map(move |user_region| {
 +                        self.latency_matrix.measurements
 +                            .get(&(user_region.clone(), alloc.region.clone()))
 +                            .map(|measurement| measurement.avg_latency_ms)
 +                            .unwrap_or(200.0)
 +                    })
 +                })
 +                .sum();
++
 +            total_latency / (selected_regions.len() * user_regions.len()) as f64
 +        };
++
 +        let geographic_diversity = selected_regions.len() as f64 / 6.0; // Normalize by max regions
++
 +        let avg_reliability = selected_regions.iter()
 +            .map(|alloc| alloc.score.reliability_score)
 +            .sum::<f64>() / selected_regions.len() as f64;
++
 +        let overall_score = (1.0 / (avg_latency / 100.0))
 +            * (1.0 / (total_cost / 0.05))
 +            * avg_reliability
 +            * geographic_diversity;
++
 +        Ok(DistributionMetrics {
 +            total_replicas,
 +            total_cost,
 +            avg_latency,
 +            geographic_diversity,
 +            avg_reliability,
 +            overall_score,
 +        })
 +    }
++
 +    /// Estimate cost for storing in a region
 +    fn estimate_region_cost(&self, region: &GeographicRegion) -> f64 {
 +        self.region_info.get(region)
 +            .map(|info| {
 +                let base_cost = 0.02; // Base cost per GB per month
 +                base_cost * info.cost_factors.data_center_costs
 +            })
 +            .unwrap_or(0.05) // Default cost
 +    }
++
 +    /// Update latency measurement between regions
 +    pub fn update_latency_measurement(
 +        &mut self,
 +        source: GeographicRegion,
 +        target: GeographicRegion,
 +        measurement: LatencyMeasurement,
 +    ) {
 +        self.latency_matrix.measurements.insert((source, target), measurement);
 +        self.latency_matrix.last_updated = Utc::now();
 +    }
++
 +    /// Update regional performance metrics
 +    pub fn update_regional_performance(&mut self, region: GeographicRegion, performance: RegionalPerformance) {
 +        self.performance_analytics.regional_performance.insert(region, performance);
 +    }
++
 +    /// Get latency between two regions
 +    pub fn get_latency(&self, source: &GeographicRegion, target: &GeographicRegion) -> Option<f64> {
 +        self.latency_matrix.measurements
 +            .get(&(source.clone(), target.clone()))
 +            .map(|measurement| measurement.avg_latency_ms)
 +    }
++
 +    /// Get optimal regions for user access
 +    pub fn get_optimal_access_regions(&self, user_regions: &[GeographicRegion], max_latency: f64) -> Vec<GeographicRegion> {
 +        let mut optimal_regions = Vec::new();
++
 +        for (region, _) in &self.region_info {
 +            let avg_latency = user_regions.iter()
 +                .filter_map(|user_region| self.get_latency(user_region, region))
 +                .sum::<f64>() / user_regions.len().max(1) as f64;
++
 +            if avg_latency <= max_latency {
 +                optimal_regions.push(region.clone());
 +            }
 +        }
++
 +        // Sort by performance score
 +        optimal_regions.sort_by(|a, b| {
 +            let score_a = self.region_info.get(a)
 +                .map(|info| self.calculate_reliability_score(info))
 +                .unwrap_or(0.0);
 +            let score_b = self.region_info.get(b)
 +                .map(|info| self.calculate_reliability_score(info))
 +                .unwrap_or(0.0);
++
 +            score_b.partial_cmp(&score_a).unwrap_or(std::cmp::Ordering::Equal)
 +        });
++
 +        optimal_regions
 +    }
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct DistributionConstraints {
 +    pub min_regions: u32,
 +    pub max_regions: u32,
 +    pub max_replicas_per_region: u32,
 +    pub required_compliance: Vec<String>,
 +    pub allowed_regions: Vec<GeographicRegion>,
 +    pub forbidden_regions: Vec<GeographicRegion>,
 +    pub max_latency_ms: f64,
 +    pub max_cost_per_gb: f64,
 +    pub min_reliability: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RegionScore {
 +    pub region: GeographicRegion,
 +    pub overall_score: f64,
 +    pub latency_score: f64,
 +    pub cost_score: f64,
 +    pub reliability_score: f64,
 +    pub capacity_score: f64,
 +    pub compliance_score: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct GeographicDistribution {
 +    pub selected_regions: Vec<RegionAllocation>,
 +    pub distribution_metrics: DistributionMetrics,
 +    pub compliance_status: ComplianceStatus,
 +    pub optimization_score: f64,
 +    pub estimated_cost: f64,
 +    pub estimated_latency: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RegionAllocation {
 +    pub region: GeographicRegion,
 +    pub replica_count: u32,
 +    pub score: RegionScore,
 +    pub cost_per_replica: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct DistributionMetrics {
 +    pub total_replicas: u32,
 +    pub total_cost: f64,
 +    pub avg_latency: f64,
 +    pub geographic_diversity: f64,
 +    pub avg_reliability: f64,
 +    pub overall_score: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ComplianceStatus {
 +    Compliant,
 +    PartiallyCompliant,
 +    NonCompliant,
 +}
++
 +#[cfg(test)]
 +mod tests {
 +    use super::*;
++
 +    #[test]
 +    fn test_geographic_optimizer_creation() {
 +        let optimizer = GeographicOptimizer::new();
 +        assert!(!optimizer.region_info.is_empty());
 +        assert!(!optimizer.compliance_rules.is_empty());
 +        assert!(!optimizer.latency_matrix.measurements.is_empty());
 +    }
++
 +    #[test]
 +    fn test_region_scoring() {
 +        let optimizer = GeographicOptimizer::new();
 +        let user_regions = vec![GeographicRegion::NorthAmerica];
 +        let constraints = DistributionConstraints {
 +            min_regions: 2,
 +            max_regions: 5,
 +            max_replicas_per_region: 3,
 +            required_compliance: vec![],
 +            allowed_regions: vec![],
 +            forbidden_regions: vec![],
 +            max_latency_ms: 300.0,
 +            max_cost_per_gb: 0.10,
 +            min_reliability: 0.9,
 +        };
++
 +        let scores = optimizer.calculate_region_scores(&user_regions, &constraints).unwrap();
 +        assert!(!scores.is_empty());
++
 +        // North America should have good latency score for North American users
 +        let na_score = scores.get(&GeographicRegion::NorthAmerica).unwrap();
 +        assert!(na_score.latency_score > 0.8);
 +    }
++
 +    #[test]
 +    fn test_latency_estimation() {
 +        let optimizer = GeographicOptimizer::new();
++
 +        // Same region should have low latency
 +        let same_region_latency = optimizer.estimate_baseline_latency(
 +            &GeographicRegion::NorthAmerica,
 +            &GeographicRegion::NorthAmerica
 +        );
 +        assert_eq!(same_region_latency, 0.0);
++
 +        // Cross-continental should have higher latency
 +        let cross_continental_latency = optimizer.estimate_baseline_latency(
 +            &GeographicRegion::NorthAmerica,
 +            &GeographicRegion::Asia
 +        );
 +        assert!(cross_continental_latency > 100.0);
 +    }
 +}

src/redundancy/health_monitor.rsadded

1167 lines changed — click to load

 +//! Real-Time Chunk Health Monitoring
 +//!
 +//! Comprehensive monitoring system that tracks chunk health, replica status,
 +//! and data integrity across the distributed network
++
 +use anyhow::Result;
 +use serde::{Deserialize, Serialize};
 +use std::collections::{HashMap, VecDeque, BTreeMap};
 +use chrono::{DateTime, Utc, Duration};
 +use tokio::time::{sleep, Duration as TokioDuration};
++
 +use crate::economics::GeographicRegion;
++
 +/// Real-time chunk health monitoring system
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ChunkHealthMonitor {
 +    /// Health status for all monitored chunks
 +    pub chunk_health: HashMap<String, ChunkHealth>,
 +    /// Node health tracking
 +    pub node_health: HashMap<String, NodeHealth>,
 +    /// Real-time metrics
 +    pub monitoring_metrics: MonitoringMetrics,
 +    /// Alert configuration
 +    pub alert_config: AlertConfiguration,
 +    /// Health check scheduler
 +    pub check_scheduler: HealthCheckScheduler,
 +    /// Historical health data
 +    pub health_history: HashMap<String, VecDeque<HealthSnapshot>>,
 +    /// Performance analytics
 +    pub analytics: HealthAnalytics,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ChunkHealth {
 +    pub chunk_id: String,
 +    pub overall_health: HealthStatus,
 +    pub replica_health: Vec<ReplicaHealth>,
 +    pub integrity_status: IntegrityStatus,
 +    pub availability_score: f64,
 +    pub durability_score: f64,
 +    pub performance_metrics: ChunkPerformanceMetrics,
 +    pub last_verified: DateTime<Utc>,
 +    pub next_check_due: DateTime<Utc>,
 +    pub risk_factors: Vec<RiskFactor>,
 +    pub repair_history: Vec<RepairRecord>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ReplicaHealth {
 +    pub replica_id: String,
 +    pub node_id: String,
 +    pub region: GeographicRegion,
 +    pub status: ReplicaStatus,
 +    pub health_score: f64,
 +    pub last_accessed: DateTime<Utc>,
 +    pub last_verified: DateTime<Utc>,
 +    pub integrity_hash: String,
 +    pub performance_metrics: ReplicaPerformanceMetrics,
 +    pub connectivity_status: ConnectivityStatus,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum HealthStatus {
 +    Excellent,   // All replicas healthy, high durability
 +    Good,        // Most replicas healthy, adequate durability
 +    Warning,     // Some replicas degraded, durability at risk
 +    Critical,    // Many replicas unhealthy, immediate action needed
 +    Failed,      // Cannot guarantee data availability
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ReplicaStatus {
 +    Healthy,
 +    Degraded,
 +    Slow,
 +    Unreachable,
 +    Corrupted,
 +    Missing,
 +    Verifying,
 +    Repairing,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum IntegrityStatus {
 +    Verified,
 +    Pending,
 +    Suspicious,
 +    Corrupted,
 +    Unknown,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ConnectivityStatus {
 +    Online,
 +    Intermittent,
 +    Offline,
 +    Unknown,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ChunkPerformanceMetrics {
 +    pub avg_response_time_ms: f64,
 +    pub success_rate: f64,
 +    pub throughput_mbps: f64,
 +    pub error_rate: f64,
 +    pub access_frequency: AccessFrequency,
 +    pub bandwidth_utilization: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ReplicaPerformanceMetrics {
 +    pub response_time_ms: f64,
 +    pub transfer_speed_mbps: f64,
 +    pub success_rate: f64,
 +    pub error_count: u32,
 +    pub last_error: Option<String>,
 +    pub uptime_percentage: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum AccessFrequency {
 +    VeryHigh,  // > 1000 accesses/day
 +    High,      // 100-1000 accesses/day
 +    Medium,    // 10-100 accesses/day
 +    Low,       // 1-10 accesses/day
 +    VeryLow,   // < 1 access/day
 +    Archived,  // Not accessed recently
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RiskFactor {
 +    pub risk_type: RiskType,
 +    pub severity: RiskSeverity,
 +    pub probability: f64, // 0.0 to 1.0
 +    pub impact: f64,      // 0.0 to 1.0
 +    pub description: String,
 +    pub mitigation_actions: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum RiskType {
 +    NodeFailure,
 +    NetworkPartition,
 +    GeographicRisk,
 +    PerformanceDegradation,
 +    CapacityLimits,
 +    ComplianceViolation,
 +    SecurityThreat,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum RiskSeverity {
 +    Low,
 +    Medium,
 +    High,
 +    Critical,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RepairRecord {
 +    pub repair_id: String,
 +    pub timestamp: DateTime<Utc>,
 +    pub repair_type: RepairType,
 +    pub affected_replicas: Vec<String>,
 +    pub repair_strategy: String,
 +    pub success: bool,
 +    pub duration_seconds: u64,
 +    pub cost: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum RepairType {
 +    ReplicationIncrease,
 +    ReplicaReplacement,
 +    IntegrityRepair,
 +    PerformanceOptimization,
 +    GeographicRebalancing,
 +    EmergencyRecovery,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct NodeHealth {
 +    pub node_id: String,
 +    pub region: GeographicRegion,
 +    pub overall_health: HealthStatus,
 +    pub uptime_percentage: f64,
 +    pub response_time_ms: f64,
 +    pub bandwidth_mbps: f64,
 +    pub storage_health: StorageHealth,
 +    pub connectivity_quality: ConnectivityQuality,
 +    pub load_metrics: LoadMetrics,
 +    pub last_seen: DateTime<Utc>,
 +    pub consecutive_failures: u32,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct StorageHealth {
 +    pub total_capacity_gb: u64,
 +    pub used_capacity_gb: u64,
 +    pub available_capacity_gb: u64,
 +    pub disk_health_score: f64,
 +    pub io_performance: f64,
 +    pub error_rate: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ConnectivityQuality {
 +    pub latency_ms: f64,
 +    pub jitter_ms: f64,
 +    pub packet_loss: f64,
 +    pub bandwidth_stability: f64,
 +    pub connection_type: String,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct LoadMetrics {
 +    pub cpu_usage: f64,
 +    pub memory_usage: f64,
 +    pub network_utilization: f64,
 +    pub disk_utilization: f64,
 +    pub active_connections: u32,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct MonitoringMetrics {
 +    pub total_chunks_monitored: u64,
 +    pub healthy_chunks: u64,
 +    pub degraded_chunks: u64,
 +    pub critical_chunks: u64,
 +    pub failed_chunks: u64,
 +    pub total_replicas: u64,
 +    pub healthy_replicas: u64,
 +    pub degraded_replicas: u64,
 +    pub average_health_score: f64,
 +    pub monitoring_efficiency: f64,
 +    pub last_updated: DateTime<Utc>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AlertConfiguration {
 +    pub enable_alerts: bool,
 +    pub health_thresholds: HealthThresholds,
 +    pub notification_channels: Vec<NotificationChannel>,
 +    pub alert_cooldown_minutes: u32,
 +    pub escalation_rules: Vec<EscalationRule>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct HealthThresholds {
 +    pub critical_health_score: f64,
 +    pub warning_health_score: f64,
 +    pub max_response_time_ms: f64,
 +    pub min_success_rate: f64,
 +    pub max_error_rate: f64,
 +    pub min_replica_count: u32,
 +    pub max_consecutive_failures: u32,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct NotificationChannel {
 +    pub channel_type: NotificationType,
 +    pub endpoint: String,
 +    pub severity_filter: Vec<RiskSeverity>,
 +    pub enabled: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum NotificationType {
 +    Email,
 +    Slack,
 +    Webhook,
 +    SMS,
 +    PagerDuty,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct EscalationRule {
 +    pub condition: String,
 +    pub delay_minutes: u32,
 +    pub action: EscalationAction,
 +    pub repeat_count: u32,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum EscalationAction {
 +    NotifyManager,
 +    AutoRepair,
 +    IncreaseReplication,
 +    EmergencyProtocol,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct HealthCheckScheduler {
 +    pub check_intervals: HashMap<HealthStatus, Duration>,
 +    pub priority_queue: BTreeMap<DateTime<Utc>, Vec<String>>, // chunk_ids
 +    pub concurrent_checks: u32,
 +    pub batch_size: u32,
 +    pub adaptive_scheduling: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct HealthSnapshot {
 +    pub timestamp: DateTime<Utc>,
 +    pub health_status: HealthStatus,
 +    pub health_score: f64,
 +    pub replica_count: u32,
 +    pub healthy_replicas: u32,
 +    pub performance_metrics: ChunkPerformanceMetrics,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct HealthAnalytics {
 +    pub health_trends: HashMap<String, HealthTrend>,
 +    pub failure_patterns: Vec<FailurePattern>,
 +    pub performance_baselines: HashMap<String, PerformanceBaseline>,
 +    pub prediction_models: HashMap<String, PredictionModel>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct HealthTrend {
 +    pub chunk_id: String,
 +    pub trend_direction: TrendDirection,
 +    pub trend_strength: f64,
 +    pub prediction_confidence: f64,
 +    pub time_to_critical: Option<Duration>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum TrendDirection {
 +    Improving,
 +    Stable,
 +    Degrading,
 +    Volatile,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct FailurePattern {
 +    pub pattern_id: String,
 +    pub pattern_type: String,
 +    pub frequency: f64,
 +    pub affected_chunks: Vec<String>,
 +    pub common_factors: Vec<String>,
 +    pub prevention_strategies: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PerformanceBaseline {
 +    pub metric_name: String,
 +    pub baseline_value: f64,
 +    pub acceptable_variance: f64,
 +    pub seasonal_adjustments: HashMap<u8, f64>, // Month -> adjustment factor
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PredictionModel {
 +    pub model_type: String,
 +    pub accuracy: f64,
 +    pub last_trained: DateTime<Utc>,
 +    pub parameters: HashMap<String, f64>,
 +}
++
 +impl Default for HealthThresholds {
 +    fn default() -> Self {
 +        Self {
 +            critical_health_score: 50.0,
 +            warning_health_score: 75.0,
 +            max_response_time_ms: 1000.0,
 +            min_success_rate: 95.0,
 +            max_error_rate: 5.0,
 +            min_replica_count: 3,
 +            max_consecutive_failures: 3,
 +        }
 +    }
 +}
++
 +impl ChunkHealthMonitor {
 +    /// Create new chunk health monitor
 +    pub fn new() -> Self {
 +        Self {
 +            chunk_health: HashMap::new(),
 +            node_health: HashMap::new(),
 +            monitoring_metrics: MonitoringMetrics {
 +                total_chunks_monitored: 0,
 +                healthy_chunks: 0,
 +                degraded_chunks: 0,
 +                critical_chunks: 0,
 +                failed_chunks: 0,
 +                total_replicas: 0,
 +                healthy_replicas: 0,
 +                degraded_replicas: 0,
 +                average_health_score: 100.0,
 +                monitoring_efficiency: 100.0,
 +                last_updated: Utc::now(),
 +            },
 +            alert_config: AlertConfiguration {
 +                enable_alerts: true,
 +                health_thresholds: HealthThresholds::default(),
 +                notification_channels: Vec::new(),
 +                alert_cooldown_minutes: 15,
 +                escalation_rules: Vec::new(),
 +            },
 +            check_scheduler: HealthCheckScheduler {
 +                check_intervals: HashMap::from([
 +                    (HealthStatus::Excellent, Duration::hours(24)),
 +                    (HealthStatus::Good, Duration::hours(6)),
 +                    (HealthStatus::Warning, Duration::hours(1)),
 +                    (HealthStatus::Critical, Duration::minutes(15)),
 +                    (HealthStatus::Failed, Duration::minutes(5)),
 +                ]),
 +                priority_queue: BTreeMap::new(),
 +                concurrent_checks: 10,
 +                batch_size: 100,
 +                adaptive_scheduling: true,
 +            },
 +            health_history: HashMap::new(),
 +            analytics: HealthAnalytics {
 +                health_trends: HashMap::new(),
 +                failure_patterns: Vec::new(),
 +                performance_baselines: HashMap::new(),
 +                prediction_models: HashMap::new(),
 +            },
 +        }
 +    }
++
 +    /// Add chunk for monitoring
 +    pub fn add_chunk_monitoring(&mut self, chunk_id: String, initial_replicas: Vec<ReplicaHealth>) {
 +        let health_score = self.calculate_chunk_health_score(&initial_replicas);
 +        let health_status = self.determine_health_status(health_score, &initial_replicas);
++
 +        let chunk_health = ChunkHealth {
 +            chunk_id: chunk_id.clone(),
 +            overall_health: health_status.clone(),
 +            replica_health: initial_replicas,
 +            integrity_status: IntegrityStatus::Pending,
 +            availability_score: health_score,
 +            durability_score: health_score,
 +            performance_metrics: ChunkPerformanceMetrics {
 +                avg_response_time_ms: 0.0,
 +                success_rate: 100.0,
 +                throughput_mbps: 0.0,
 +                error_rate: 0.0,
 +                access_frequency: AccessFrequency::Low,
 +                bandwidth_utilization: 0.0,
 +            },
 +            last_verified: Utc::now(),
 +            next_check_due: Utc::now() + self.get_check_interval(&health_status),
 +            risk_factors: Vec::new(),
 +            repair_history: Vec::new(),
 +        };
++
 +        self.chunk_health.insert(chunk_id.clone(), chunk_health);
++
 +        // Schedule health check
 +        self.schedule_health_check(chunk_id, Utc::now() + self.get_check_interval(&health_status));
++
 +        // Initialize health history
 +        self.health_history.insert(chunk_id, VecDeque::with_capacity(1000));
++
 +        self.update_monitoring_metrics();
 +    }
++
 +    /// Perform health check on a chunk
 +    pub async fn perform_health_check(&mut self, chunk_id: &str) -> Result<HealthCheckResult> {
 +        let chunk_health = self.chunk_health.get_mut(chunk_id)
 +            .ok_or_else(|| anyhow::anyhow!("Chunk not found in monitoring"))?;
++
 +        let mut check_results = Vec::new();
 +        let mut healthy_replicas = 0;
 +        let mut total_response_time = 0.0;
++
 +        // Check each replica
 +        for replica in &mut chunk_health.replica_health {
 +            let replica_result = self.check_replica_health(replica).await?;
++
 +            if matches!(replica_result.status, ReplicaStatus::Healthy) {
 +                healthy_replicas += 1;
 +            }
++
 +            total_response_time += replica_result.response_time_ms;
 +            check_results.push(replica_result);
 +        }
++
 +        // Update chunk health based on check results
 +        let new_health_score = self.calculate_chunk_health_score(&chunk_health.replica_health);
 +        let new_health_status = self.determine_health_status(new_health_score, &chunk_health.replica_health);
++
 +        chunk_health.overall_health = new_health_status.clone();
 +        chunk_health.availability_score = new_health_score;
 +        chunk_health.performance_metrics.avg_response_time_ms = total_response_time / check_results.len() as f64;
 +        chunk_health.performance_metrics.success_rate = (healthy_replicas as f64 / check_results.len() as f64) * 100.0;
 +        chunk_health.last_verified = Utc::now();
 +        chunk_health.next_check_due = Utc::now() + self.get_check_interval(&new_health_status);
++
 +        // Update risk factors
 +        chunk_health.risk_factors = self.assess_risk_factors(chunk_health);
++
 +        // Record health snapshot
 +        self.record_health_snapshot(chunk_id, chunk_health);
++
 +        // Schedule next check
 +        self.schedule_health_check(chunk_id.to_string(), chunk_health.next_check_due);
++
 +        // Check for alerts
 +        if self.alert_config.enable_alerts {
 +            self.check_alert_conditions(chunk_id, chunk_health).await?;
 +        }
++
 +        self.update_monitoring_metrics();
++
 +        Ok(HealthCheckResult {
 +            chunk_id: chunk_id.to_string(),
 +            health_status: new_health_status,
 +            health_score: new_health_score,
 +            replica_results: check_results,
 +            issues_detected: chunk_health.risk_factors.clone(),
 +            recommendations: self.generate_recommendations(chunk_health),
 +        })
 +    }
++
 +    /// Check individual replica health
 +    async fn check_replica_health(&mut self, replica: &mut ReplicaHealth) -> Result<ReplicaCheckResult> {
 +        let start_time = std::time::Instant::now();
++
 +        // Simulate health check (in real implementation, this would be actual network calls)
 +        let connectivity_check = self.check_replica_connectivity(&replica.node_id).await?;
 +        let integrity_check = self.verify_replica_integrity(replica).await?;
 +        let performance_check = self.measure_replica_performance(replica).await?;
++
 +        let check_duration = start_time.elapsed();
++
 +        // Update replica status based on checks
 +        replica.status = if connectivity_check && integrity_check && performance_check.response_time_ms < 1000.0 {
 +            ReplicaStatus::Healthy
 +        } else if connectivity_check && integrity_check {
 +            ReplicaStatus::Slow
 +        } else if connectivity_check {
 +            ReplicaStatus::Degraded
 +        } else {
 +            ReplicaStatus::Unreachable
 +        };
++
 +        replica.last_verified = Utc::now();
 +        replica.performance_metrics = performance_check.clone();
++
 +        Ok(ReplicaCheckResult {
 +            replica_id: replica.replica_id.clone(),
 +            node_id: replica.node_id.clone(),
 +            status: replica.status.clone(),
 +            response_time_ms: performance_check.response_time_ms,
 +            connectivity_ok: connectivity_check,
 +            integrity_ok: integrity_check,
 +            performance_metrics: performance_check,
 +        })
 +    }
++
 +    /// Check replica connectivity
 +    async fn check_replica_connectivity(&self, node_id: &str) -> Result<bool> {
 +        // Simulate connectivity check
 +        tokio::time::sleep(TokioDuration::from_millis(10)).await;
++
 +        // Check if node is in our health records and recently seen
 +        if let Some(node_health) = self.node_health.get(node_id) {
 +            let time_since_last_seen = Utc::now() - node_health.last_seen;
 +            Ok(time_since_last_seen < Duration::minutes(5))
 +        } else {
 +            Ok(false)
 +        }
 +    }
++
 +    /// Verify replica integrity
 +    async fn verify_replica_integrity(&self, replica: &ReplicaHealth) -> Result<bool> {
 +        // Simulate integrity verification
 +        tokio::time::sleep(TokioDuration::from_millis(50)).await;
++
 +        // In real implementation, this would verify checksums, etc.
 +        Ok(!replica.integrity_hash.is_empty())
 +    }
++
 +    /// Measure replica performance
 +    async fn measure_replica_performance(&self, replica: &ReplicaHealth) -> Result<ReplicaPerformanceMetrics> {
 +        // Simulate performance measurement
 +        let base_latency = 100.0;
 +        let jitter = (rand::random::<f64>() - 0.5) * 50.0;
 +        let response_time = base_latency + jitter;
++
 +        tokio::time::sleep(TokioDuration::from_millis(response_time as u64)).await;
++
 +        Ok(ReplicaPerformanceMetrics {
 +            response_time_ms: response_time.max(0.0),
 +            transfer_speed_mbps: 50.0 + (rand::random::<f64>() * 50.0),
 +            success_rate: 95.0 + (rand::random::<f64>() * 5.0),
 +            error_count: 0,
 +            last_error: None,
 +            uptime_percentage: 99.0 + (rand::random::<f64>() * 1.0),
 +        })
 +    }
++
 +    /// Calculate overall chunk health score
 +    fn calculate_chunk_health_score(&self, replicas: &[ReplicaHealth]) -> f64 {
 +        if replicas.is_empty() {
 +            return 0.0;
 +        }
++
 +        let healthy_count = replicas.iter()
 +            .filter(|r| matches!(r.status, ReplicaStatus::Healthy))
 +            .count();
++
 +        let degraded_count = replicas.iter()
 +            .filter(|r| matches!(r.status, ReplicaStatus::Degraded | ReplicaStatus::Slow))
 +            .count();
++
 +        let unhealthy_count = replicas.len() - healthy_count - degraded_count;
++
 +        // Weight factors
 +        let healthy_weight = 1.0;
 +        let degraded_weight = 0.5;
 +        let unhealthy_weight = 0.0;
++
 +        let weighted_score = (healthy_count as f64 * healthy_weight
 +            + degraded_count as f64 * degraded_weight
 +            + unhealthy_count as f64 * unhealthy_weight) / replicas.len() as f64;
++
 +        weighted_score * 100.0
 +    }
++
 +    /// Determine health status from score and replica states
 +    fn determine_health_status(&self, health_score: f64, replicas: &[ReplicaHealth]) -> HealthStatus {
 +        let healthy_count = replicas.iter()
 +            .filter(|r| matches!(r.status, ReplicaStatus::Healthy))
 +            .count();
++
 +        let total_count = replicas.len();
++
 +        if health_score >= 90.0 && healthy_count >= (total_count * 3) / 4 {
 +            HealthStatus::Excellent
 +        } else if health_score >= 75.0 && healthy_count >= total_count / 2 {
 +            HealthStatus::Good
 +        } else if health_score >= 50.0 && healthy_count >= total_count / 3 {
 +            HealthStatus::Warning
 +        } else if healthy_count > 0 {
 +            HealthStatus::Critical
 +        } else {
 +            HealthStatus::Failed
 +        }
 +    }
++
 +    /// Get check interval for health status
 +    fn get_check_interval(&self, status: &HealthStatus) -> Duration {
 +        self.check_scheduler.check_intervals
 +            .get(status)
 +            .copied()
 +            .unwrap_or(Duration::hours(6))
 +    }
++
 +    /// Schedule health check
 +    fn schedule_health_check(&mut self, chunk_id: String, check_time: DateTime<Utc>) {
 +        self.check_scheduler.priority_queue
 +            .entry(check_time)
 +            .or_insert_with(Vec::new)
 +            .push(chunk_id);
 +    }
++
 +    /// Assess risk factors for a chunk
 +    fn assess_risk_factors(&self, chunk_health: &ChunkHealth) -> Vec<RiskFactor> {
 +        let mut risk_factors = Vec::new();
++
 +        // Check replica count
 +        let healthy_replicas = chunk_health.replica_health.iter()
 +            .filter(|r| matches!(r.status, ReplicaStatus::Healthy))
 +            .count();
++
 +        if healthy_replicas < 3 {
 +            risk_factors.push(RiskFactor {
 +                risk_type: RiskType::NodeFailure,
 +                severity: if healthy_replicas < 2 { RiskSeverity::Critical } else { RiskSeverity::High },
 +                probability: 0.8,
 +                impact: 0.9,
 +                description: format!("Only {} healthy replicas remaining", healthy_replicas),
 +                mitigation_actions: vec!["Increase replication".to_string(), "Replace unhealthy replicas".to_string()],
 +            });
 +        }
++
 +        // Check geographic distribution
 +        let regions: std::collections::HashSet<_> = chunk_health.replica_health.iter()
 +            .map(|r| &r.region)
 +            .collect();
++
 +        if regions.len() < 2 {
 +            risk_factors.push(RiskFactor {
 +                risk_type: RiskType::GeographicRisk,
 +                severity: RiskSeverity::Medium,
 +                probability: 0.3,
 +                impact: 0.7,
 +                description: "Poor geographic distribution".to_string(),
 +                mitigation_actions: vec!["Add replicas in different regions".to_string()],
 +            });
 +        }
++
 +        // Check performance degradation
 +        if chunk_health.performance_metrics.avg_response_time_ms > 1000.0 {
 +            risk_factors.push(RiskFactor {
 +                risk_type: RiskType::PerformanceDegradation,
 +                severity: RiskSeverity::Medium,
 +                probability: 0.6,
 +                impact: 0.4,
 +                description: "High response times detected".to_string(),
 +                mitigation_actions: vec!["Optimize replica placement".to_string(), "Check network conditions".to_string()],
 +            });
 +        }
++
 +        risk_factors
 +    }
++
 +    /// Generate recommendations for chunk health improvement
 +    fn generate_recommendations(&self, chunk_health: &ChunkHealth) -> Vec<String> {
 +        let mut recommendations = Vec::new();
++
 +        match chunk_health.overall_health {
 +            HealthStatus::Failed => {
 +                recommendations.push("URGENT: Immediate recovery required - chunk data may be lost".to_string());
 +                recommendations.push("Attempt recovery from any available replicas".to_string());
 +                recommendations.push("Check backup systems".to_string());
 +            },
 +            HealthStatus::Critical => {
 +                recommendations.push("Create additional replicas immediately".to_string());
 +                recommendations.push("Repair or replace unhealthy replicas".to_string());
 +                recommendations.push("Monitor closely for further degradation".to_string());
 +            },
 +            HealthStatus::Warning => {
 +                recommendations.push("Consider increasing replication factor".to_string());
 +                recommendations.push("Investigate cause of replica degradation".to_string());
 +                recommendations.push("Improve geographic distribution".to_string());
 +            },
 +            HealthStatus::Good => {
 +                recommendations.push("Monitor performance trends".to_string());
 +                recommendations.push("Consider optimizing replica placement for better performance".to_string());
 +            },
 +            HealthStatus::Excellent => {
 +                recommendations.push("Maintain current configuration".to_string());
 +                recommendations.push("Consider this as a model for other chunks".to_string());
 +            },
 +        }
++
 +        recommendations
 +    }
++
 +    /// Record health snapshot in history
 +    fn record_health_snapshot(&mut self, chunk_id: &str, chunk_health: &ChunkHealth) {
 +        let snapshot = HealthSnapshot {
 +            timestamp: Utc::now(),
 +            health_status: chunk_health.overall_health.clone(),
 +            health_score: chunk_health.availability_score,
 +            replica_count: chunk_health.replica_health.len() as u32,
 +            healthy_replicas: chunk_health.replica_health.iter()
 +                .filter(|r| matches!(r.status, ReplicaStatus::Healthy))
 +                .count() as u32,
 +            performance_metrics: chunk_health.performance_metrics.clone(),
 +        };
++
 +        if let Some(history) = self.health_history.get_mut(chunk_id) {
 +            history.push_back(snapshot);
++
 +            // Keep only last 1000 snapshots
 +            if history.len() > 1000 {
 +                history.pop_front();
 +            }
 +        }
 +    }
++
 +    /// Check alert conditions and send notifications
 +    async fn check_alert_conditions(&mut self, chunk_id: &str, chunk_health: &ChunkHealth) -> Result<()> {
 +        let thresholds = &self.alert_config.health_thresholds;
++
 +        let should_alert = match chunk_health.overall_health {
 +            HealthStatus::Failed | HealthStatus::Critical => true,
 +            HealthStatus::Warning => chunk_health.availability_score < thresholds.warning_health_score,
 +            _ => false,
 +        };
++
 +        if should_alert {
 +            let alert = HealthAlert {
 +                alert_id: format!("alert_{}_{}", chunk_id, Utc::now().timestamp()),
 +                chunk_id: chunk_id.to_string(),
 +                severity: match chunk_health.overall_health {
 +                    HealthStatus::Failed => RiskSeverity::Critical,
 +                    HealthStatus::Critical => RiskSeverity::High,
 +                    HealthStatus::Warning => RiskSeverity::Medium,
 +                    _ => RiskSeverity::Low,
 +                },
 +                message: format!("Chunk {} health degraded to {:?}", chunk_id, chunk_health.overall_health),
 +                timestamp: Utc::now(),
 +                health_score: chunk_health.availability_score,
 +                recommendations: self.generate_recommendations(chunk_health),
 +            };
++
 +            self.send_alert(alert).await?;
 +        }
++
 +        Ok(())
 +    }
++
 +    /// Send health alert
 +    async fn send_alert(&self, alert: HealthAlert) -> Result<()> {
 +        // In real implementation, this would send to configured notification channels
 +        tracing::warn!("Health Alert: {} - {} (Score: {:.1})",
 +            alert.alert_id, alert.message, alert.health_score);
++
 +        for recommendation in &alert.recommendations {
 +            tracing::info!("Recommendation: {}", recommendation);
 +        }
++
 +        Ok(())
 +    }
++
 +    /// Update monitoring metrics
 +    fn update_monitoring_metrics(&mut self) {
 +        let total_chunks = self.chunk_health.len() as u64;
 +        let mut healthy = 0;
 +        let mut degraded = 0;
 +        let mut critical = 0;
 +        let mut failed = 0;
 +        let mut total_score = 0.0;
 +        let mut total_replicas = 0;
 +        let mut healthy_replicas = 0;
++
 +        for chunk_health in self.chunk_health.values() {
 +            match chunk_health.overall_health {
 +                HealthStatus::Excellent | HealthStatus::Good => healthy += 1,
 +                HealthStatus::Warning => degraded += 1,
 +                HealthStatus::Critical => critical += 1,
 +                HealthStatus::Failed => failed += 1,
 +            }
++
 +            total_score += chunk_health.availability_score;
 +            total_replicas += chunk_health.replica_health.len();
 +            healthy_replicas += chunk_health.replica_health.iter()
 +                .filter(|r| matches!(r.status, ReplicaStatus::Healthy))
 +                .count();
 +        }
++
 +        self.monitoring_metrics = MonitoringMetrics {
 +            total_chunks_monitored: total_chunks,
 +            healthy_chunks: healthy,
 +            degraded_chunks: degraded,
 +            critical_chunks: critical,
 +            failed_chunks: failed,
 +            total_replicas: total_replicas as u64,
 +            healthy_replicas: healthy_replicas as u64,
 +            degraded_replicas: (total_replicas - healthy_replicas) as u64,
 +            average_health_score: if total_chunks > 0 { total_score / total_chunks as f64 } else { 100.0 },
 +            monitoring_efficiency: 100.0, // Would be calculated based on check success rate
 +            last_updated: Utc::now(),
 +        };
 +    }
++
 +    /// Run continuous health monitoring
 +    pub async fn run_continuous_monitoring(&mut self) -> Result<()> {
 +        let mut check_interval = tokio::time::interval(TokioDuration::from_secs(60)); // Check every minute
++
 +        loop {
 +            check_interval.tick().await;
++
 +            // Process due health checks
 +            let now = Utc::now();
 +            let due_chunks: Vec<String> = self.check_scheduler.priority_queue
 +                .range(..=now)
 +                .flat_map(|(_, chunks)| chunks.iter().cloned())
 +                .collect();
++
 +            // Remove processed items from queue
 +            self.check_scheduler.priority_queue.retain(|time, _| *time > now);
++
 +            // Process health checks in batches
 +            for chunk_batch in due_chunks.chunks(self.check_scheduler.batch_size as usize) {
 +                let mut check_tasks = Vec::new();
++
 +                for chunk_id in chunk_batch {
 +                    if check_tasks.len() >= self.check_scheduler.concurrent_checks as usize {
 +                        // Wait for some tasks to complete
 +                        let _ = futures::future::join_all(check_tasks.drain(..)).await;
 +                    }
++
 +                    let chunk_id_clone = chunk_id.clone();
 +                    let task = async move {
 +                        // Would perform actual health check here
 +                        tokio::time::sleep(TokioDuration::from_millis(100)).await;
 +                        Ok(chunk_id_clone)
 +                    };
++
 +                    check_tasks.push(task);
 +                }
++
 +                // Wait for remaining tasks
 +                let results = futures::future::join_all(check_tasks).await;
++
 +                // Process results
 +                for result in results {
 +                    match result {
 +                        Ok(chunk_id) => {
 +                            if let Err(e) = self.perform_health_check(&chunk_id).await {
 +                                tracing::error!("Health check failed for chunk {}: {}", chunk_id, e);
 +                            }
 +                        },
 +                        Err(e) => {
 +                            tracing::error!("Health check task failed: {}", e);
 +                        }
 +                    }
 +                }
 +            }
++
 +            // Update analytics
 +            self.update_health_analytics();
 +        }
 +    }
++
 +    /// Update health analytics and trends
 +    fn update_health_analytics(&mut self) {
 +        // Analyze health trends for each chunk
 +        for (chunk_id, history) in &self.health_history {
 +            if history.len() >= 10 {
 +                let trend = self.analyze_health_trend(history);
 +                self.analytics.health_trends.insert(chunk_id.clone(), trend);
 +            }
 +        }
++
 +        // Detect failure patterns
 +        self.detect_failure_patterns();
++
 +        // Update performance baselines
 +        self.update_performance_baselines();
 +    }
++
 +    /// Analyze health trend for a chunk
 +    fn analyze_health_trend(&self, history: &VecDeque<HealthSnapshot>) -> HealthTrend {
 +        let recent_scores: Vec<f64> = history.iter()
 +            .rev()
 +            .take(10)
 +            .map(|snapshot| snapshot.health_score)
 +            .collect();
++
 +        let trend_direction = if recent_scores.len() >= 2 {
 +            let first_half_avg = recent_scores.iter().take(recent_scores.len() / 2).sum::<f64>() / (recent_scores.len() / 2) as f64;
 +            let second_half_avg = recent_scores.iter().skip(recent_scores.len() / 2).sum::<f64>() / (recent_scores.len() - recent_scores.len() / 2) as f64;
++
 +            let diff = second_half_avg - first_half_avg;
 +            if diff > 5.0 {
 +                TrendDirection::Improving
 +            } else if diff < -5.0 {
 +                TrendDirection::Degrading
 +            } else {
 +                TrendDirection::Stable
 +            }
 +        } else {
 +            TrendDirection::Stable
 +        };
++
 +        HealthTrend {
 +            chunk_id: String::new(), // Would be filled by caller
 +            trend_direction,
 +            trend_strength: 0.5, // Simplified calculation
 +            prediction_confidence: 0.7,
 +            time_to_critical: None, // Would calculate based on trend
 +        }
 +    }
++
 +    /// Detect common failure patterns
 +    fn detect_failure_patterns(&mut self) {
 +        // Simplified pattern detection
 +        // In real implementation, this would use more sophisticated ML algorithms
 +    }
++
 +    /// Update performance baselines
 +    fn update_performance_baselines(&mut self) {
 +        // Update baselines based on recent performance data
 +        // In real implementation, this would calculate statistical baselines
 +    }
++
 +    /// Get health summary
 +    pub fn get_health_summary(&self) -> HealthSummary {
 +        HealthSummary {
 +            overall_health: if self.monitoring_metrics.average_health_score >= 90.0 {
 +                HealthStatus::Excellent
 +            } else if self.monitoring_metrics.average_health_score >= 75.0 {
 +                HealthStatus::Good
 +            } else if self.monitoring_metrics.average_health_score >= 50.0 {
 +                HealthStatus::Warning
 +            } else {
 +                HealthStatus::Critical
 +            },
 +            metrics: self.monitoring_metrics.clone(),
 +            top_risks: self.get_top_risk_factors(),
 +            recommendations: self.get_global_recommendations(),
 +        }
 +    }
++
 +    /// Get top risk factors across all chunks
 +    fn get_top_risk_factors(&self) -> Vec<RiskFactor> {
 +        let mut all_risks: Vec<RiskFactor> = self.chunk_health
 +            .values()
 +            .flat_map(|chunk| chunk.risk_factors.iter().cloned())
 +            .collect();
++
 +        all_risks.sort_by(|a, b| {
 +            let score_a = a.probability * a.impact;
 +            let score_b = b.probability * b.impact;
 +            score_b.partial_cmp(&score_a).unwrap_or(std::cmp::Ordering::Equal)
 +        });
++
 +        all_risks.into_iter().take(10).collect()
 +    }
++
 +    /// Get global recommendations
 +    fn get_global_recommendations(&self) -> Vec<String> {
 +        let mut recommendations = Vec::new();
++
 +        if self.monitoring_metrics.critical_chunks > 0 {
 +            recommendations.push("URGENT: Address critical chunks immediately".to_string());
 +        }
++
 +        if self.monitoring_metrics.degraded_chunks > self.monitoring_metrics.total_chunks_monitored / 4 {
 +            recommendations.push("High number of degraded chunks - investigate infrastructure issues".to_string());
 +        }
++
 +        if self.monitoring_metrics.average_health_score < 80.0 {
 +            recommendations.push("Overall system health is below optimal - consider increasing redundancy".to_string());
 +        }
++
 +        recommendations
 +    }
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct HealthCheckResult {
 +    pub chunk_id: String,
 +    pub health_status: HealthStatus,
 +    pub health_score: f64,
 +    pub replica_results: Vec<ReplicaCheckResult>,
 +    pub issues_detected: Vec<RiskFactor>,
 +    pub recommendations: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ReplicaCheckResult {
 +    pub replica_id: String,
 +    pub node_id: String,
 +    pub status: ReplicaStatus,
 +    pub response_time_ms: f64,
 +    pub connectivity_ok: bool,
 +    pub integrity_ok: bool,
 +    pub performance_metrics: ReplicaPerformanceMetrics,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct HealthAlert {
 +    pub alert_id: String,
 +    pub chunk_id: String,
 +    pub severity: RiskSeverity,
 +    pub message: String,
 +    pub timestamp: DateTime<Utc>,
 +    pub health_score: f64,
 +    pub recommendations: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct HealthSummary {
 +    pub overall_health: HealthStatus,
 +    pub metrics: MonitoringMetrics,
 +    pub top_risks: Vec<RiskFactor>,
 +    pub recommendations: Vec<String>,
 +}
++
 +#[cfg(test)]
 +mod tests {
 +    use super::*;
++
 +    #[test]
 +    fn test_health_monitor_creation() {
 +        let monitor = ChunkHealthMonitor::new();
 +        assert!(monitor.chunk_health.is_empty());
 +        assert!(monitor.alert_config.enable_alerts);
 +        assert_eq!(monitor.monitoring_metrics.total_chunks_monitored, 0);
 +    }
++
 +    #[test]
 +    fn test_health_score_calculation() {
 +        let monitor = ChunkHealthMonitor::new();
++
 +        let replicas = vec![
 +            ReplicaHealth {
 +                replica_id: "replica1".to_string(),
 +                node_id: "node1".to_string(),
 +                region: GeographicRegion::NorthAmerica,
 +                status: ReplicaStatus::Healthy,
 +                health_score: 100.0,
 +                last_accessed: Utc::now(),
 +                last_verified: Utc::now(),
 +                integrity_hash: "hash1".to_string(),
 +                performance_metrics: ReplicaPerformanceMetrics {
 +                    response_time_ms: 100.0,
 +                    transfer_speed_mbps: 50.0,
 +                    success_rate: 99.0,
 +                    error_count: 0,
 +                    last_error: None,
 +                    uptime_percentage: 99.9,
 +                },
 +                connectivity_status: ConnectivityStatus::Online,
 +            },
 +            ReplicaHealth {
 +                replica_id: "replica2".to_string(),
 +                node_id: "node2".to_string(),
 +                region: GeographicRegion::Europe,
 +                status: ReplicaStatus::Degraded,
 +                health_score: 70.0,
 +                last_accessed: Utc::now(),
 +                last_verified: Utc::now(),
 +                integrity_hash: "hash2".to_string(),
 +                performance_metrics: ReplicaPerformanceMetrics {
 +                    response_time_ms: 300.0,
 +                    transfer_speed_mbps: 20.0,
 +                    success_rate: 95.0,
 +                    error_count: 2,
 +                    last_error: Some("Network timeout".to_string()),
 +                    uptime_percentage: 98.0,
 +                },
 +                connectivity_status: ConnectivityStatus::Intermittent,
 +            },
 +        ];
++
 +        let score = monitor.calculate_chunk_health_score(&replicas);
 +        assert!(score > 50.0 && score < 100.0); // Should be between 50-100 for mixed health
 +    }
++
 +    #[tokio::test]
 +    async fn test_health_check_workflow() {
 +        let mut monitor = ChunkHealthMonitor::new();
++
 +        let replicas = vec![
 +            ReplicaHealth {
 +                replica_id: "replica1".to_string(),
 +                node_id: "node1".to_string(),
 +                region: GeographicRegion::NorthAmerica,
 +                status: ReplicaStatus::Healthy,
 +                health_score: 100.0,
 +                last_accessed: Utc::now(),
 +                last_verified: Utc::now(),
 +                integrity_hash: "hash1".to_string(),
 +                performance_metrics: ReplicaPerformanceMetrics {
 +                    response_time_ms: 100.0,
 +                    transfer_speed_mbps: 50.0,
 +                    success_rate: 99.0,
 +                    error_count: 0,
 +                    last_error: None,
 +                    uptime_percentage: 99.9,
 +                },
 +                connectivity_status: ConnectivityStatus::Online,
 +            },
 +        ];
++
 +        monitor.add_chunk_monitoring("test_chunk".to_string(), replicas);
 +        assert_eq!(monitor.chunk_health.len(), 1);
++
 +        // Perform health check
 +        let result = monitor.perform_health_check("test_chunk").await.unwrap();
 +        assert_eq!(result.chunk_id, "test_chunk");
 +        assert!(!result.replica_results.is_empty());
 +    }
 +}

src/redundancy/intelligent_replication.rsadded

 +//! Intelligent Replication Strategy
 +//!
 +//! Adaptive redundancy system that optimizes data durability based on content importance,
 +//! network conditions, and cost considerations
++
 +use anyhow::Result;
 +use serde::{Deserialize, Serialize};
 +use std::collections::{HashMap, BTreeMap};
 +use chrono::{DateTime, Utc, Duration};
++
 +use crate::economics::{NetworkHealthMetrics, VolunteerMetrics, GeographicRegion};
++
 +/// Intelligent replication manager
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct IntelligentReplicationManager {
 +    /// Replication policies for different content types
 +    pub policies: HashMap<ContentType, ReplicationPolicy>,
 +    /// Current replication state tracking
 +    pub replication_state: HashMap<String, ChunkReplicationState>,
 +    /// Node performance tracking for replication decisions
 +    pub node_performance: HashMap<String, NodePerformanceProfile>,
 +    /// Geographic distribution requirements
 +    pub geo_distribution: GeographicDistributionConfig,
 +    /// Adaptive redundancy configuration
 +    pub adaptive_config: AdaptiveRedundancyConfig,
 +    /// Cost optimization settings
 +    pub cost_config: CostOptimizationConfig,
 +}
++
 +#[derive(Debug, Clone, Hash, Eq, PartialEq, Serialize, Deserialize)]
 +pub enum ContentType {
 +    Critical,      // System-critical data
 +    Important,     // User-important files
 +    Standard,      // Regular user files
 +    Archive,       // Long-term storage
 +    Temporary,     // Short-term cache
 +    Backup,        // Backup copies
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ReplicationPolicy {
 +    pub content_type: ContentType,
 +    pub min_replicas: u32,
 +    pub max_replicas: u32,
 +    pub target_replicas: u32,
 +    pub geographic_spread: GeographicSpread,
 +    pub node_quality_requirements: NodeQualityRequirements,
 +    pub redundancy_scheme: RedundancyScheme,
 +    pub replication_priority: ReplicationPriority,
 +    pub cost_sensitivity: f64, // 0.0 = cost-insensitive, 1.0 = highly cost-sensitive
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum GeographicSpread {
 +    SingleRegion,
 +    MultiRegion(u32),     // Minimum number of regions
 +    GlobalDistribution,   // Maximum geographic spread
 +    RegionSpecific(Vec<GeographicRegion>), // Specific regions required
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct NodeQualityRequirements {
 +    pub min_uptime_percentage: f64,
 +    pub min_bandwidth_mbps: f64,
 +    pub max_latency_ms: u64,
 +    pub min_reliability_score: f64,
 +    pub required_connection_quality: Option<ConnectionQuality>,
 +    pub exclude_unstable_nodes: bool,
 +    pub prefer_premium_nodes: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum RedundancyScheme {
 +    SimpleReplication,           // Basic copying
 +    ReedSolomon { data: u32, parity: u32 }, // (n,k) Reed-Solomon
 +    HybridErasure { replicas: u32, erasure: (u32, u32) }, // Combination
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ReplicationPriority {
 +    Immediate,
 +    High,
 +    Normal,
 +    Low,
 +    Background,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ConnectionQuality {
 +    Fiber,
 +    Broadband,
 +    Mobile,
 +    Satellite,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ChunkReplicationState {
 +    pub chunk_id: String,
 +    pub content_type: ContentType,
 +    pub current_replicas: Vec<ReplicaLocation>,
 +    pub target_replicas: u32,
 +    pub health_score: f64,
 +    pub last_verification: DateTime<Utc>,
 +    pub replication_status: ReplicationStatus,
 +    pub repair_history: Vec<RepairEvent>,
 +    pub access_patterns: AccessPatterns,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ReplicaLocation {
 +    pub node_id: String,
 +    pub region: GeographicRegion,
 +    pub quality_score: f64,
 +    pub created_at: DateTime<Utc>,
 +    pub last_verified: DateTime<Utc>,
 +    pub status: ReplicaStatus,
 +    pub performance_metrics: ReplicaPerformance,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ReplicaStatus {
 +    Healthy,
 +    Degraded,
 +    Unreachable,
 +    Corrupted,
 +    Missing,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ReplicaPerformance {
 +    pub response_time_ms: u64,
 +    pub transfer_speed_mbps: f64,
 +    pub success_rate: f64,
 +    pub last_access: DateTime<Utc>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ReplicationStatus {
 +    Optimal,              // Meets all requirements
 +    Adequate,             // Meets minimum requirements
 +    Degraded,             // Below minimum requirements
 +    Critical,             // Immediate action needed
 +    Repairing,            // Currently being repaired
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RepairEvent {
 +    pub event_id: String,
 +    pub timestamp: DateTime<Utc>,
 +    pub event_type: RepairEventType,
 +    pub affected_replicas: Vec<String>,
 +    pub repair_strategy: RepairStrategy,
 +    pub success: bool,
 +    pub duration_seconds: u64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum RepairEventType {
 +    NodeFailure,
 +    NetworkPartition,
 +    CorruptionDetected,
 +    PerformanceDegradation,
 +    ScheduledMaintenance,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum RepairStrategy {
 +    CreateNewReplica,
 +    RepairExistingReplica,
 +    MigrateReplica,
 +    IncreaseRedundancy,
 +    RebuildFromErasure,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AccessPatterns {
 +    pub access_frequency: AccessFrequency,
 +    pub geographic_access: HashMap<GeographicRegion, u32>,
 +    pub time_patterns: HashMap<u8, u32>, // Hour of day -> access count
 +    pub last_access: DateTime<Utc>,
 +    pub predicted_next_access: Option<DateTime<Utc>>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum AccessFrequency {
 +    VeryHigh,  // Multiple times per hour
 +    High,      // Multiple times per day
 +    Medium,    // Daily access
 +    Low,       // Weekly access
 +    VeryLow,   // Monthly access
 +    Archive,   // Rarely accessed
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct NodePerformanceProfile {
 +    pub node_id: String,
 +    pub region: GeographicRegion,
 +    pub uptime_percentage: f64,
 +    pub bandwidth_mbps: f64,
 +    pub latency_ms: u64,
 +    pub reliability_score: f64,
 +    pub connection_quality: ConnectionQuality,
 +    pub storage_capacity_gb: u64,
 +    pub available_capacity_gb: u64,
 +    pub cost_per_gb_month: f64,
 +    pub performance_tier: PerformanceTier,
 +    pub last_updated: DateTime<Utc>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum PerformanceTier {
 +    Premium,   // Top 10% performers
 +    High,      // Top 25% performers
 +    Standard,  // Average performers
 +    Basic,     // Below average
 +    Unreliable, // Poor performers
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct GeographicDistributionConfig {
 +    pub min_regions_per_chunk: u32,
 +    pub preferred_regions: Vec<GeographicRegion>,
 +    pub region_weights: HashMap<GeographicRegion, f64>,
 +    pub latency_requirements: HashMap<GeographicRegion, u64>,
 +    pub regulatory_constraints: HashMap<GeographicRegion, Vec<String>>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AdaptiveRedundancyConfig {
 +    pub enable_dynamic_adjustment: bool,
 +    pub adjustment_frequency_hours: u32,
 +    pub network_health_threshold: f64,
 +    pub failure_rate_threshold: f64,
 +    pub auto_scale_replicas: bool,
 +    pub max_auto_replicas: u32,
 +    pub min_auto_replicas: u32,
 +    pub cost_efficiency_target: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CostOptimizationConfig {
 +    pub enable_cost_optimization: bool,
 +    pub cost_efficiency_weight: f64,
 +    pub durability_weight: f64,
 +    pub performance_weight: f64,
 +    pub max_cost_per_gb_month: f64,
 +    pub prefer_cheaper_nodes: bool,
 +    pub cost_monitoring_enabled: bool,
 +}
++
 +impl Default for ReplicationPolicy {
 +    fn default() -> Self {
 +        Self {
 +            content_type: ContentType::Standard,
 +            min_replicas: 3,
 +            max_replicas: 10,
 +            target_replicas: 5,
 +            geographic_spread: GeographicSpread::MultiRegion(2),
 +            node_quality_requirements: NodeQualityRequirements {
 +                min_uptime_percentage: 95.0,
 +                min_bandwidth_mbps: 10.0,
 +                max_latency_ms: 200,
 +                min_reliability_score: 90.0,
 +                required_connection_quality: None,
 +                exclude_unstable_nodes: true,
 +                prefer_premium_nodes: false,
 +            },
 +            redundancy_scheme: RedundancyScheme::SimpleReplication,
 +            replication_priority: ReplicationPriority::Normal,
 +            cost_sensitivity: 0.3,
 +        }
 +    }
 +}
++
 +impl IntelligentReplicationManager {
 +    /// Create new intelligent replication manager
 +    pub fn new() -> Self {
 +        let mut manager = Self {
 +            policies: HashMap::new(),
 +            replication_state: HashMap::new(),
 +            node_performance: HashMap::new(),
 +            geo_distribution: GeographicDistributionConfig {
 +                min_regions_per_chunk: 2,
 +                preferred_regions: vec![
 +                    GeographicRegion::NorthAmerica,
 +                    GeographicRegion::Europe,
 +                    GeographicRegion::Asia,
 +                ],
 +                region_weights: HashMap::new(),
 +                latency_requirements: HashMap::new(),
 +                regulatory_constraints: HashMap::new(),
 +            },
 +            adaptive_config: AdaptiveRedundancyConfig {
 +                enable_dynamic_adjustment: true,
 +                adjustment_frequency_hours: 6,
 +                network_health_threshold: 95.0,
 +                failure_rate_threshold: 0.01,
 +                auto_scale_replicas: true,
 +                max_auto_replicas: 15,
 +                min_auto_replicas: 3,
 +                cost_efficiency_target: 0.8,
 +            },
 +            cost_config: CostOptimizationConfig {
 +                enable_cost_optimization: true,
 +                cost_efficiency_weight: 0.3,
 +                durability_weight: 0.5,
 +                performance_weight: 0.2,
 +                max_cost_per_gb_month: 0.05,
 +                prefer_cheaper_nodes: false,
 +                cost_monitoring_enabled: true,
 +            },
 +        };
++
 +        manager.initialize_default_policies();
 +        manager
 +    }
++
 +    /// Initialize default replication policies
 +    fn initialize_default_policies(&mut self) {
 +        // Critical content policy
 +        self.policies.insert(ContentType::Critical, ReplicationPolicy {
 +            content_type: ContentType::Critical,
 +            min_replicas: 5,
 +            max_replicas: 15,
 +            target_replicas: 8,
 +            geographic_spread: GeographicSpread::GlobalDistribution,
 +            node_quality_requirements: NodeQualityRequirements {
 +                min_uptime_percentage: 99.0,
 +                min_bandwidth_mbps: 50.0,
 +                max_latency_ms: 100,
 +                min_reliability_score: 95.0,
 +                required_connection_quality: Some(ConnectionQuality::Fiber),
 +                exclude_unstable_nodes: true,
 +                prefer_premium_nodes: true,
 +            },
 +            redundancy_scheme: RedundancyScheme::ReedSolomon { data: 6, parity: 3 },
 +            replication_priority: ReplicationPriority::Immediate,
 +            cost_sensitivity: 0.1, // Low cost sensitivity for critical data
 +        });
++
 +        // Important content policy
 +        self.policies.insert(ContentType::Important, ReplicationPolicy {
 +            content_type: ContentType::Important,
 +            min_replicas: 4,
 +            max_replicas: 10,
 +            target_replicas: 6,
 +            geographic_spread: GeographicSpread::MultiRegion(3),
 +            node_quality_requirements: NodeQualityRequirements {
 +                min_uptime_percentage: 97.0,
 +                min_bandwidth_mbps: 25.0,
 +                max_latency_ms: 150,
 +                min_reliability_score: 92.0,
 +                required_connection_quality: None,
 +                exclude_unstable_nodes: true,
 +                prefer_premium_nodes: true,
 +            },
 +            redundancy_scheme: RedundancyScheme::ReedSolomon { data: 4, parity: 2 },
 +            replication_priority: ReplicationPriority::High,
 +            cost_sensitivity: 0.2,
 +        });
++
 +        // Standard content policy
 +        self.policies.insert(ContentType::Standard, ReplicationPolicy::default());
++
 +        // Archive content policy
 +        self.policies.insert(ContentType::Archive, ReplicationPolicy {
 +            content_type: ContentType::Archive,
 +            min_replicas: 3,
 +            max_replicas: 8,
 +            target_replicas: 4,
 +            geographic_spread: GeographicSpread::MultiRegion(2),
 +            node_quality_requirements: NodeQualityRequirements {
 +                min_uptime_percentage: 90.0,
 +                min_bandwidth_mbps: 5.0,
 +                max_latency_ms: 500,
 +                min_reliability_score: 85.0,
 +                required_connection_quality: None,
 +                exclude_unstable_nodes: false,
 +                prefer_premium_nodes: false,
 +            },
 +            redundancy_scheme: RedundancyScheme::ReedSolomon { data: 3, parity: 2 },
 +            replication_priority: ReplicationPriority::Background,
 +            cost_sensitivity: 0.8, // High cost sensitivity for archive data
 +        });
++
 +        // Temporary content policy
 +        self.policies.insert(ContentType::Temporary, ReplicationPolicy {
 +            content_type: ContentType::Temporary,
 +            min_replicas: 2,
 +            max_replicas: 4,
 +            target_replicas: 3,
 +            geographic_spread: GeographicSpread::SingleRegion,
 +            node_quality_requirements: NodeQualityRequirements {
 +                min_uptime_percentage: 85.0,
 +                min_bandwidth_mbps: 10.0,
 +                max_latency_ms: 300,
 +                min_reliability_score: 80.0,
 +                required_connection_quality: None,
 +                exclude_unstable_nodes: false,
 +                prefer_premium_nodes: false,
 +            },
 +            redundancy_scheme: RedundancyScheme::SimpleReplication,
 +            replication_priority: ReplicationPriority::Low,
 +            cost_sensitivity: 1.0, // Maximum cost sensitivity
 +        });
 +    }
++
 +    /// Determine optimal replication strategy for a chunk
 +    pub fn determine_replication_strategy(
 +        &self,
 +        chunk_id: &str,
 +        content_type: ContentType,
 +        access_patterns: &AccessPatterns,
 +        network_health: &NetworkHealthMetrics,
 +    ) -> Result<ReplicationStrategy> {
 +        let policy = self.policies.get(&content_type)
 +            .ok_or_else(|| anyhow::anyhow!("No policy found for content type: {:?}", content_type))?;
++
 +        // Calculate base replication requirements
 +        let mut target_replicas = policy.target_replicas;
++
 +        // Adjust based on access patterns
 +        target_replicas = self.adjust_for_access_patterns(target_replicas, access_patterns);
++
 +        // Adjust based on network health
 +        target_replicas = self.adjust_for_network_health(target_replicas, network_health);
++
 +        // Ensure within policy bounds
 +        target_replicas = target_replicas.max(policy.min_replicas).min(policy.max_replicas);
++
 +        // Select optimal nodes
 +        let selected_nodes = self.select_optimal_nodes(
 +            target_replicas,
 +            &policy.node_quality_requirements,
 +            &policy.geographic_spread,
 +            policy.cost_sensitivity,
 +        )?;
++
 +        Ok(ReplicationStrategy {
 +            chunk_id: chunk_id.to_string(),
 +            content_type,
 +            target_replicas,
 +            selected_nodes,
 +            redundancy_scheme: policy.redundancy_scheme.clone(),
 +            priority: policy.replication_priority.clone(),
 +            estimated_cost: self.calculate_replication_cost(&selected_nodes),
 +            durability_score: self.calculate_durability_score(&selected_nodes, &policy.redundancy_scheme),
 +        })
 +    }
++
 +    /// Adjust replica count based on access patterns
 +    fn adjust_for_access_patterns(&self, base_replicas: u32, access_patterns: &AccessPatterns) -> u32 {
 +        let frequency_multiplier = match access_patterns.access_frequency {
 +            AccessFrequency::VeryHigh => 1.5,
 +            AccessFrequency::High => 1.2,
 +            AccessFrequency::Medium => 1.0,
 +            AccessFrequency::Low => 0.9,
 +            AccessFrequency::VeryLow => 0.8,
 +            AccessFrequency::Archive => 0.7,
 +        };
++
 +        // Geographic access diversity bonus
 +        let geo_diversity_bonus = if access_patterns.geographic_access.len() > 2 {
 +            1.1
 +        } else {
 +            1.0
 +        };
++
 +        ((base_replicas as f64) * frequency_multiplier * geo_diversity_bonus) as u32
 +    }
++
 +    /// Adjust replica count based on network health
 +    fn adjust_for_network_health(&self, base_replicas: u32, network_health: &NetworkHealthMetrics) -> u32 {
 +        let health_factor = if network_health.average_uptime < 90.0 {
 +            1.3 // Increase replicas for poor network health
 +        } else if network_health.average_uptime < 95.0 {
 +            1.1
 +        } else {
 +            1.0 // Normal replication for healthy network
 +        };
++
 +        // Adjust for utilization pressure
 +        let utilization_factor = if network_health.utilization_rate > 90.0 {
 +            0.9 // Reduce replicas under high utilization
 +        } else {
 +            1.0
 +        };
++
 +        ((base_replicas as f64) * health_factor * utilization_factor) as u32
 +    }
++
 +    /// Select optimal nodes for replication
 +    fn select_optimal_nodes(
 +        &self,
 +        target_replicas: u32,
 +        quality_requirements: &NodeQualityRequirements,
 +        geographic_spread: &GeographicSpread,
 +        cost_sensitivity: f64,
 +    ) -> Result<Vec<String>> {
 +        // Filter nodes by quality requirements
 +        let eligible_nodes: Vec<_> = self.node_performance
 +            .values()
 +            .filter(|node| self.meets_quality_requirements(node, quality_requirements))
 +            .collect();
++
 +        if eligible_nodes.is_empty() {
 +            return Err(anyhow::anyhow!("No nodes meet quality requirements"));
 +        }
++
 +        // Group by region for geographic distribution
 +        let nodes_by_region = self.group_nodes_by_region(&eligible_nodes);
++
 +        // Select nodes based on geographic spread requirements
 +        let selected_nodes = self.apply_geographic_selection(
 +            nodes_by_region,
 +            target_replicas,
 +            geographic_spread,
 +            cost_sensitivity,
 +        )?;
++
 +        Ok(selected_nodes)
 +    }
++
 +    /// Check if node meets quality requirements
 +    fn meets_quality_requirements(
 +        &self,
 +        node: &NodePerformanceProfile,
 +        requirements: &NodeQualityRequirements,
 +    ) -> bool {
 +        node.uptime_percentage >= requirements.min_uptime_percentage
 +            && node.bandwidth_mbps >= requirements.min_bandwidth_mbps
 +            && node.latency_ms <= requirements.max_latency_ms
 +            && node.reliability_score >= requirements.min_reliability_score
 +            && node.available_capacity_gb > 0
 +            && (!requirements.exclude_unstable_nodes || !matches!(node.performance_tier, PerformanceTier::Unreliable))
 +            && requirements.required_connection_quality.as_ref()
 +                .map_or(true, |required| self.connection_quality_matches(&node.connection_quality, required))
 +    }
++
 +    /// Check if connection quality matches requirement
 +    fn connection_quality_matches(&self, actual: &ConnectionQuality, required: &ConnectionQuality) -> bool {
 +        match (actual, required) {
 +            (ConnectionQuality::Fiber, _) => true,
 +            (ConnectionQuality::Broadband, ConnectionQuality::Fiber) => false,
 +            (ConnectionQuality::Broadband, _) => true,
 +            (ConnectionQuality::Mobile, ConnectionQuality::Fiber | ConnectionQuality::Broadband) => false,
 +            (ConnectionQuality::Mobile, _) => true,
 +            (ConnectionQuality::Satellite, ConnectionQuality::Satellite) => true,
 +            (ConnectionQuality::Satellite, _) => false,
 +        }
 +    }
++
 +    /// Group nodes by geographic region
 +    fn group_nodes_by_region(
 +        &self,
 +        nodes: &[&NodePerformanceProfile],
 +    ) -> HashMap<GeographicRegion, Vec<&NodePerformanceProfile>> {
 +        let mut grouped = HashMap::new();
++
 +        for node in nodes {
 +            grouped.entry(node.region.clone())
 +                .or_insert_with(Vec::new)
 +                .push(*node);
 +        }
++
 +        // Sort nodes within each region by performance score
 +        for region_nodes in grouped.values_mut() {
 +            region_nodes.sort_by(|a, b| {
 +                let score_a = self.calculate_node_score(a, 0.3); // Default cost sensitivity
 +                let score_b = self.calculate_node_score(b, 0.3);
 +                score_b.partial_cmp(&score_a).unwrap_or(std::cmp::Ordering::Equal)
 +            });
 +        }
++
 +        grouped
 +    }
++
 +    /// Apply geographic selection strategy
 +    fn apply_geographic_selection(
 +        &self,
 +        nodes_by_region: HashMap<GeographicRegion, Vec<&NodePerformanceProfile>>,
 +        target_replicas: u32,
 +        geographic_spread: &GeographicSpread,
 +        cost_sensitivity: f64,
 +    ) -> Result<Vec<String>> {
 +        let mut selected_nodes = Vec::new();
++
 +        match geographic_spread {
 +            GeographicSpread::SingleRegion => {
 +                // Select all from the best region
 +                let best_region = self.find_best_region(&nodes_by_region, cost_sensitivity)?;
 +                if let Some(region_nodes) = nodes_by_region.get(&best_region) {
 +                    for node in region_nodes.iter().take(target_replicas as usize) {
 +                        selected_nodes.push(node.node_id.clone());
 +                    }
 +                }
 +            },
 +            GeographicSpread::MultiRegion(min_regions) => {
 +                selected_nodes = self.select_multi_region_nodes(
 +                    &nodes_by_region,
 +                    target_replicas,
 +                    *min_regions,
 +                    cost_sensitivity,
 +                )?;
 +            },
 +            GeographicSpread::GlobalDistribution => {
 +                selected_nodes = self.select_global_distribution_nodes(
 +                    &nodes_by_region,
 +                    target_replicas,
 +                    cost_sensitivity,
 +                )?;
 +            },
 +            GeographicSpread::RegionSpecific(required_regions) => {
 +                selected_nodes = self.select_region_specific_nodes(
 +                    &nodes_by_region,
 +                    target_replicas,
 +                    required_regions,
 +                    cost_sensitivity,
 +                )?;
 +            },
 +        }
++
 +        if selected_nodes.len() < target_replicas as usize {
 +            tracing::warn!("Could only select {} nodes out of {} requested",
 +                selected_nodes.len(), target_replicas);
 +        }
++
 +        Ok(selected_nodes)
 +    }
++
 +    /// Find the best region based on cost and performance
 +    fn find_best_region(
 +        &self,
 +        nodes_by_region: &HashMap<GeographicRegion, Vec<&NodePerformanceProfile>>,
 +        cost_sensitivity: f64,
 +    ) -> Result<GeographicRegion> {
 +        let mut best_region = None;
 +        let mut best_score = 0.0;
++
 +        for (region, nodes) in nodes_by_region {
 +            if nodes.is_empty() {
 +                continue;
 +            }
++
 +            let avg_score = nodes.iter()
 +                .map(|node| self.calculate_node_score(node, cost_sensitivity))
 +                .sum::<f64>() / nodes.len() as f64;
++
 +            if avg_score > best_score {
 +                best_score = avg_score;
 +                best_region = Some(region.clone());
 +            }
 +        }
++
 +        best_region.ok_or_else(|| anyhow::anyhow!("No suitable region found"))
 +    }
++
 +    /// Select nodes across multiple regions
 +    fn select_multi_region_nodes(
 +        &self,
 +        nodes_by_region: &HashMap<GeographicRegion, Vec<&NodePerformanceProfile>>,
 +        target_replicas: u32,
 +        min_regions: u32,
 +        cost_sensitivity: f64,
 +    ) -> Result<Vec<String>> {
 +        let mut selected_nodes = Vec::new();
 +        let available_regions: Vec<_> = nodes_by_region.keys()
 +            .filter(|region| !nodes_by_region[*region].is_empty())
 +            .collect();
++
 +        if available_regions.len() < min_regions as usize {
 +            return Err(anyhow::anyhow!("Not enough regions available: {} < {}",
 +                available_regions.len(), min_regions));
 +        }
++
 +        // Calculate replicas per region
 +        let replicas_per_region = target_replicas / min_regions;
 +        let extra_replicas = target_replicas % min_regions;
++
 +        // Sort regions by quality
 +        let mut sorted_regions = available_regions;
 +        sorted_regions.sort_by(|a, b| {
 +            let score_a = self.calculate_region_score(nodes_by_region[*a].as_slice(), cost_sensitivity);
 +            let score_b = self.calculate_region_score(nodes_by_region[*b].as_slice(), cost_sensitivity);
 +            score_b.partial_cmp(&score_a).unwrap_or(std::cmp::Ordering::Equal)
 +        });
++
 +        // Select nodes from each region
 +        for (i, region) in sorted_regions.iter().take(min_regions as usize).enumerate() {
 +            let region_nodes = &nodes_by_region[*region];
 +            let region_replicas = replicas_per_region + if i < extra_replicas as usize { 1 } else { 0 };
++
 +            for node in region_nodes.iter().take(region_replicas as usize) {
 +                selected_nodes.push(node.node_id.clone());
 +            }
 +        }
++
 +        Ok(selected_nodes)
 +    }
++
 +    /// Select nodes for global distribution
 +    fn select_global_distribution_nodes(
 +        &self,
 +        nodes_by_region: &HashMap<GeographicRegion, Vec<&NodePerformanceProfile>>,
 +        target_replicas: u32,
 +        cost_sensitivity: f64,
 +    ) -> Result<Vec<String>> {
 +        // Try to distribute across all available regions
 +        let available_regions = nodes_by_region.len() as u32;
 +        self.select_multi_region_nodes(nodes_by_region, target_replicas, available_regions, cost_sensitivity)
 +    }
++
 +    /// Select nodes from specific regions
 +    fn select_region_specific_nodes(
 +        &self,
 +        nodes_by_region: &HashMap<GeographicRegion, Vec<&NodePerformanceProfile>>,
 +        target_replicas: u32,
 +        required_regions: &[GeographicRegion],
 +        cost_sensitivity: f64,
 +    ) -> Result<Vec<String>> {
 +        let mut selected_nodes = Vec::new();
 +        let replicas_per_region = target_replicas / required_regions.len() as u32;
 +        let extra_replicas = target_replicas % required_regions.len() as u32;
++
 +        for (i, region) in required_regions.iter().enumerate() {
 +            if let Some(region_nodes) = nodes_by_region.get(region) {
 +                let region_replicas = replicas_per_region + if i < extra_replicas as usize { 1 } else { 0 };
++
 +                for node in region_nodes.iter().take(region_replicas as usize) {
 +                    selected_nodes.push(node.node_id.clone());
 +                }
 +            }
 +        }
++
 +        Ok(selected_nodes)
 +    }
++
 +    /// Calculate node performance score
 +    fn calculate_node_score(&self, node: &NodePerformanceProfile, cost_sensitivity: f64) -> f64 {
 +        let performance_score = (node.uptime_percentage / 100.0)
 +            * (node.reliability_score / 100.0)
 +            * (node.bandwidth_mbps / 100.0).min(1.0)
 +            * (200.0 / (node.latency_ms as f64 + 50.0));
++
 +        let cost_score = if cost_sensitivity > 0.0 {
 +            1.0 / (node.cost_per_gb_month + 0.01) // Avoid division by zero
 +        } else {
 +            1.0
 +        };
++
 +        // Weighted combination
 +        performance_score * (1.0 - cost_sensitivity) + cost_score * cost_sensitivity
 +    }
++
 +    /// Calculate region quality score
 +    fn calculate_region_score(&self, nodes: &[&NodePerformanceProfile], cost_sensitivity: f64) -> f64 {
 +        if nodes.is_empty() {
 +            return 0.0;
 +        }
++
 +        nodes.iter()
 +            .map(|node| self.calculate_node_score(node, cost_sensitivity))
 +            .sum::<f64>() / nodes.len() as f64
 +    }
++
 +    /// Calculate estimated replication cost
 +    fn calculate_replication_cost(&self, selected_nodes: &[String]) -> f64 {
 +        selected_nodes.iter()
 +            .filter_map(|node_id| self.node_performance.get(node_id))
 +            .map(|node| node.cost_per_gb_month)
 +            .sum()
 +    }
++
 +    /// Calculate expected durability score
 +    fn calculate_durability_score(&self, selected_nodes: &[String], redundancy_scheme: &RedundancyScheme) -> f64 {
 +        let avg_reliability = selected_nodes.iter()
 +            .filter_map(|node_id| self.node_performance.get(node_id))
 +            .map(|node| node.reliability_score / 100.0)
 +            .sum::<f64>() / selected_nodes.len() as f64;
++
 +        // Calculate durability based on redundancy scheme
 +        match redundancy_scheme {
 +            RedundancyScheme::SimpleReplication => {
 +                // Simple calculation: 1 - (1 - reliability)^replicas
 +                1.0 - (1.0 - avg_reliability).powf(selected_nodes.len() as f64)
 +            },
 +            RedundancyScheme::ReedSolomon { data, parity } => {
 +                // Can survive up to 'parity' failures
 +                let total_shards = data + parity;
 +                let failure_tolerance = *parity as f64;
++
 +                // Simplified calculation
 +                let failure_prob = 1.0 - avg_reliability;
 +                let survive_prob = (0..=failure_tolerance as u32)
 +                    .map(|failures| {
 +                        binomial_probability(total_shards, failures, failure_prob)
 +                    })
 +                    .sum::<f64>();
++
 +                survive_prob
 +            },
 +            RedundancyScheme::HybridErasure { replicas, erasure } => {
 +                // Combination of replication and erasure coding
 +                let replication_durability = 1.0 - (1.0 - avg_reliability).powf(*replicas as f64);
 +                let erasure_durability = self.calculate_durability_score(
 +                    selected_nodes,
 +                    &RedundancyScheme::ReedSolomon { data: erasure.0, parity: erasure.1 }
 +                );
++
 +                // Best of both
 +                replication_durability.max(erasure_durability)
 +            },
 +        }
 +    }
++
 +    /// Update node performance profile
 +    pub fn update_node_performance(&mut self, node_id: String, profile: NodePerformanceProfile) {
 +        self.node_performance.insert(node_id, profile);
 +    }
++
 +    /// Update chunk replication state
 +    pub fn update_chunk_state(&mut self, chunk_id: String, state: ChunkReplicationState) {
 +        self.replication_state.insert(chunk_id, state);
 +    }
++
 +    /// Get replication recommendations for a chunk
 +    pub fn get_replication_recommendations(&self, chunk_id: &str) -> Result<Vec<ReplicationRecommendation>> {
 +        let state = self.replication_state.get(chunk_id)
 +            .ok_or_else(|| anyhow::anyhow!("Chunk state not found"))?;
++
 +        let mut recommendations = Vec::new();
++
 +        // Check if we need more replicas
 +        if state.current_replicas.len() < state.target_replicas as usize {
 +            recommendations.push(ReplicationRecommendation {
 +                recommendation_type: RecommendationType::IncreaseReplicas,
 +                priority: ReplicationPriority::High,
 +                estimated_cost: 0.02, // Placeholder
 +                durability_impact: 0.15,
 +                description: "Increase replica count to meet target".to_string(),
 +            });
 +        }
++
 +        // Check for unhealthy replicas
 +        let unhealthy_replicas: Vec<_> = state.current_replicas.iter()
 +            .filter(|replica| !matches!(replica.status, ReplicaStatus::Healthy))
 +            .collect();
++
 +        if !unhealthy_replicas.is_empty() {
 +            recommendations.push(ReplicationRecommendation {
 +                recommendation_type: RecommendationType::RepairReplicas,
 +                priority: ReplicationPriority::Immediate,
 +                estimated_cost: 0.05,
 +                durability_impact: 0.25,
 +                description: format!("Repair {} unhealthy replicas", unhealthy_replicas.len()),
 +            });
 +        }
++
 +        // Check geographic distribution
 +        let regions: std::collections::HashSet<_> = state.current_replicas.iter()
 +            .map(|replica| &replica.region)
 +            .collect();
++
 +        if regions.len() < self.geo_distribution.min_regions_per_chunk as usize {
 +            recommendations.push(ReplicationRecommendation {
 +                recommendation_type: RecommendationType::ImproveGeographicDistribution,
 +                priority: ReplicationPriority::Normal,
 +                estimated_cost: 0.03,
 +                durability_impact: 0.10,
 +                description: "Improve geographic distribution".to_string(),
 +            });
 +        }
++
 +        Ok(recommendations)
 +    }
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ReplicationStrategy {
 +    pub chunk_id: String,
 +    pub content_type: ContentType,
 +    pub target_replicas: u32,
 +    pub selected_nodes: Vec<String>,
 +    pub redundancy_scheme: RedundancyScheme,
 +    pub priority: ReplicationPriority,
 +    pub estimated_cost: f64,
 +    pub durability_score: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ReplicationRecommendation {
 +    pub recommendation_type: RecommendationType,
 +    pub priority: ReplicationPriority,
 +    pub estimated_cost: f64,
 +    pub durability_impact: f64,
 +    pub description: String,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum RecommendationType {
 +    IncreaseReplicas,
 +    DecreaseReplicas,
 +    RepairReplicas,
 +    MigrateReplicas,
 +    ImproveGeographicDistribution,
 +    OptimizeCost,
 +    UpgradeRedundancyScheme,
 +}
++
 +/// Calculate binomial probability
 +fn binomial_probability(n: u32, k: u32, p: f64) -> f64 {
 +    if k > n {
 +        return 0.0;
 +    }
++
 +    let combination = factorial(n) / (factorial(k) * factorial(n - k));
 +    combination as f64 * p.powi(k as i32) * (1.0 - p).powi((n - k) as i32)
 +}
++
 +/// Calculate factorial (simplified for small numbers)
 +fn factorial(n: u32) -> u64 {
 +    (1..=n as u64).product()
 +}
++
 +#[cfg(test)]
 +mod tests {
 +    use super::*;
++
 +    #[test]
 +    fn test_replication_manager_creation() {
 +        let manager = IntelligentReplicationManager::new();
 +        assert!(!manager.policies.is_empty());
 +        assert!(manager.policies.contains_key(&ContentType::Critical));
 +        assert!(manager.policies.contains_key(&ContentType::Standard));
 +    }
++
 +    #[test]
 +    fn test_node_quality_requirements() {
 +        let manager = IntelligentReplicationManager::new();
++
 +        let high_quality_node = NodePerformanceProfile {
 +            node_id: "node1".to_string(),
 +            region: GeographicRegion::NorthAmerica,
 +            uptime_percentage: 99.5,
 +            bandwidth_mbps: 100.0,
 +            latency_ms: 50,
 +            reliability_score: 98.0,
 +            connection_quality: ConnectionQuality::Fiber,
 +            storage_capacity_gb: 1000,
 +            available_capacity_gb: 500,
 +            cost_per_gb_month: 0.02,
 +            performance_tier: PerformanceTier::Premium,
 +            last_updated: Utc::now(),
 +        };
++
 +        let requirements = &manager.policies[&ContentType::Critical].node_quality_requirements;
 +        assert!(manager.meets_quality_requirements(&high_quality_node, requirements));
 +    }
++
 +    #[test]
 +    fn test_access_pattern_adjustment() {
 +        let manager = IntelligentReplicationManager::new();
++
 +        let high_access_patterns = AccessPatterns {
 +            access_frequency: AccessFrequency::VeryHigh,
 +            geographic_access: HashMap::from([
 +                (GeographicRegion::NorthAmerica, 100),
 +                (GeographicRegion::Europe, 50),
 +                (GeographicRegion::Asia, 25),
 +            ]),
 +            time_patterns: HashMap::new(),
 +            last_access: Utc::now(),
 +            predicted_next_access: None,
 +        };
++
 +        let adjusted = manager.adjust_for_access_patterns(5, &high_access_patterns);
 +        assert!(adjusted > 5); // Should increase for high-access content
 +    }
 +}

src/redundancy/mod.rsadded

 +//! Redundancy Module
 +//!
 +//! Smart redundancy and data durability system for ZephyrFS
++
 +pub mod intelligent_replication;
 +pub mod geographic_optimizer;
 +pub mod health_monitor;
 +pub mod auto_replication;
 +pub mod reed_solomon;
 +pub mod recovery_optimizer;
 +pub mod predictive_replication;
 +pub mod reputation_system;
 +pub mod network_health_monitor;
++
 +pub use intelligent_replication::{
 +    IntelligentReplicationManager, ReplicationStrategy, ContentType,
 +    ReplicationRecommendation, RecommendationType
 +};
 +pub use geographic_optimizer::{
 +    GeographicOptimizer, GeographicDistribution, DistributionConstraints,
 +    RegionScore, ComplianceStatus
 +};
 +pub use health_monitor::{
 +    ChunkHealthMonitor, ChunkHealth, ReplicaHealth, HealthStatus,
 +    HealthCheckResult, HealthSummary, RiskFactor
 +};
 +pub use auto_replication::{
 +    AutoReplicationManager, ReplicationTask, NodeStatus, NodeState,
 +    ReplicationStatus, AutoReplicationPolicy
 +};
 +pub use reed_solomon::{
 +    ReedSolomonCodec, ReedSolomonManager, ReedSolomonConfig,
 +    EncodedChunk, ReconstructionResult
 +};
 +pub use recovery_optimizer::{
 +    RecoveryOptimizer, RecoveryPlan, RecoveryStep,
 +    RecoveryExecutionResult, OptimizationStrategy
 +};
 +pub use predictive_replication::{
 +    MLPredictor, ProactiveReplicationManager, FailurePrediction,
 +    NodeMetrics, RecommendedAction
 +};
 +pub use reputation_system::{
 +    ReputationManager, NodeReputation, ReliabilityMetrics,
 +    PerformanceMetrics, ReputationEvent, EventType
 +};
 +pub use network_health_monitor::{
 +    NetworkHealthMonitor, NetworkHealthReport, HealthAlert,
 +    AlertSeverity, GlobalNetworkMetrics, RegionalHealth
 +};

src/redundancy/network_health_monitor.rsadded

 +//! Network Health Early Warning System
 +//!
 +//! Monitors overall network health and provides early warnings for potential issues
++
 +use serde::{Deserialize, Serialize};
 +use std::collections::{HashMap, VecDeque};
 +use tokio::time::{Duration, Instant};
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct NetworkHealthReport {
 +    pub timestamp: Instant,
 +    pub overall_health_score: f32, // 0.0 to 1.0
 +    pub critical_alerts: Vec<HealthAlert>,
 +    pub warnings: Vec<HealthAlert>,
 +    pub network_metrics: GlobalNetworkMetrics,
 +    pub regional_health: HashMap<String, RegionalHealth>,
 +    pub trend_analysis: HealthTrend,
 +    pub risk_assessment: RiskAssessment,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct HealthAlert {
 +    pub id: String,
 +    pub severity: AlertSeverity,
 +    pub alert_type: AlertType,
 +    pub message: String,
 +    pub affected_nodes: Vec<String>,
 +    pub affected_regions: Vec<String>,
 +    pub first_detected: Instant,
 +    pub estimated_impact: ImpactAssessment,
 +    pub recommended_actions: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum AlertSeverity {
 +    Critical,  // Immediate action required
 +    High,      // Action required within 1 hour
 +    Medium,    // Action required within 4 hours
 +    Low,       // Monitor and plan
 +    Info,      // Informational only
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum AlertType {
 +    NodeFailures,
 +    NetworkPartition,
 +    StorageCapacity,
 +    PerformanceDegradation,
 +    SecurityThreat,
 +    DataIntegrity,
 +    ConnectivityIssues,
 +    ResourceExhaustion,
 +    GeographicDisturbance,
 +    SystemOverload,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ImpactAssessment {
 +    pub affected_data_percentage: f32,
 +    pub performance_impact: f32,
 +    pub availability_risk: f32,
 +    pub estimated_users_affected: u32,
 +    pub data_at_risk: u64, // bytes
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct GlobalNetworkMetrics {
 +    pub total_nodes: u32,
 +    pub healthy_nodes: u32,
 +    pub unhealthy_nodes: u32,
 +    pub offline_nodes: u32,
 +    pub average_uptime: f32,
 +    pub network_latency_p50: Duration,
 +    pub network_latency_p95: Duration,
 +    pub total_storage_capacity: u64,
 +    pub used_storage_capacity: u64,
 +    pub data_redundancy_level: f32,
 +    pub throughput_mbps: f32,
 +    pub error_rate: f32,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RegionalHealth {
 +    pub region: String,
 +    pub health_score: f32,
 +    pub node_count: u32,
 +    pub healthy_nodes: u32,
 +    pub average_latency: Duration,
 +    pub storage_utilization: f32,
 +    pub connectivity_status: ConnectivityStatus,
 +    pub risk_factors: Vec<RegionalRiskFactor>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ConnectivityStatus {
 +    Excellent,   // All connections stable
 +    Good,        // Minor connectivity issues
 +    Degraded,    // Noticeable connectivity problems
 +    Poor,        // Significant connectivity issues
 +    Critical,    // Major connectivity failures
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum RegionalRiskFactor {
 +    HighLatency,
 +    NodeConcentration,
 +    InfrastructureIssues,
 +    NetworkCongestion,
 +    GeographicEvents,
 +    RegulatoryChanges,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct HealthTrend {
 +    pub direction: TrendDirection,
 +    pub confidence: f32,
 +    pub time_window: Duration,
 +    pub key_indicators: Vec<TrendIndicator>,
 +    pub predicted_issues: Vec<PredictedIssue>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum TrendDirection {
 +    StronglyImproving,
 +    Improving,
 +    Stable,
 +    Declining,
 +    StronglyDeclining,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct TrendIndicator {
 +    pub metric: String,
 +    pub current_value: f32,
 +    pub trend_direction: TrendDirection,
 +    pub rate_of_change: f32,
 +    pub significance: f32,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PredictedIssue {
 +    pub issue_type: AlertType,
 +    pub probability: f32,
 +    pub predicted_time: Instant,
 +    pub potential_impact: ImpactAssessment,
 +    pub prevention_actions: Vec<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RiskAssessment {
 +    pub overall_risk_level: RiskLevel,
 +    pub data_loss_risk: f32,
 +    pub availability_risk: f32,
 +    pub performance_risk: f32,
 +    pub security_risk: f32,
 +    pub mitigation_effectiveness: f32,
 +    pub risk_factors: Vec<NetworkRiskFactor>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum RiskLevel {
 +    VeryLow,
 +    Low,
 +    Medium,
 +    High,
 +    Critical,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct NetworkRiskFactor {
 +    pub factor_type: String,
 +    pub severity: f32,
 +    pub likelihood: f32,
 +    pub impact_scope: String,
 +    pub mitigation_options: Vec<String>,
 +}
++
 +pub struct NetworkHealthMonitor {
 +    health_history: VecDeque<NetworkHealthReport>,
 +    active_alerts: HashMap<String, HealthAlert>,
 +    node_health_cache: HashMap<String, NodeHealthStatus>,
 +    regional_monitors: HashMap<String, RegionalMonitor>,
 +    alert_thresholds: AlertThresholds,
 +    predictive_models: HashMap<String, HealthPredictionModel>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct NodeHealthStatus {
 +    node_id: String,
 +    last_seen: Instant,
 +    health_score: f32,
 +    metrics: NodeMetrics,
 +    status: NodeStatus,
 +}
++
 +#[derive(Debug, Clone)]
 +struct NodeMetrics {
 +    cpu_usage: f32,
 +    memory_usage: f32,
 +    disk_usage: f32,
 +    network_latency: Duration,
 +    error_count: u32,
 +    uptime: Duration,
 +}
++
 +#[derive(Debug, Clone)]
 +enum NodeStatus {
 +    Healthy,
 +    Warning,
 +    Critical,
 +    Offline,
 +    Unknown,
 +}
++
 +struct RegionalMonitor {
 +    region: String,
 +    nodes: Vec<String>,
 +    health_score_history: VecDeque<f32>,
 +    connectivity_matrix: HashMap<String, HashMap<String, Duration>>,
 +    last_health_check: Instant,
 +}
++
 +#[derive(Debug, Clone)]
 +struct AlertThresholds {
 +    node_failure_threshold: f32,
 +    network_latency_threshold: Duration,
 +    storage_utilization_threshold: f32,
 +    error_rate_threshold: f32,
 +    uptime_threshold: f32,
 +    redundancy_threshold: f32,
 +}
++
 +struct HealthPredictionModel {
 +    model_type: String,
 +    weights: Vec<f32>,
 +    accuracy: f32,
 +    training_data: VecDeque<HealthDataPoint>,
 +    last_prediction: Option<PredictedIssue>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct HealthDataPoint {
 +    timestamp: Instant,
 +    metrics: Vec<f32>,
 +    outcome: Option<AlertType>,
 +}
++
 +impl NetworkHealthMonitor {
 +    pub fn new() -> Self {
 +        Self {
 +            health_history: VecDeque::with_capacity(1440), // 24 hours of minute-by-minute data
 +            active_alerts: HashMap::new(),
 +            node_health_cache: HashMap::new(),
 +            regional_monitors: HashMap::new(),
 +            alert_thresholds: AlertThresholds::default(),
 +            predictive_models: HashMap::new(),
 +        }
 +    }
++
 +    pub async fn perform_health_check(&mut self) -> NetworkHealthReport {
 +        let timestamp = Instant::now();
++
 +        // Update node health status
 +        self.update_node_health_status().await;
++
 +        // Calculate global metrics
 +        let network_metrics = self.calculate_global_metrics().await;
++
 +        // Assess regional health
 +        let regional_health = self.assess_regional_health().await;
++
 +        // Analyze trends
 +        let trend_analysis = self.analyze_health_trends();
++
 +        // Assess risks
 +        let risk_assessment = self.assess_network_risks(&network_metrics, &regional_health);
++
 +        // Calculate overall health score
 +        let overall_health_score = self.calculate_overall_health_score(&network_metrics, &regional_health, &risk_assessment);
++
 +        // Generate alerts
 +        let (critical_alerts, warnings) = self.generate_health_alerts(&network_metrics, &regional_health, &risk_assessment).await;
++
 +        let report = NetworkHealthReport {
 +            timestamp,
 +            overall_health_score,
 +            critical_alerts,
 +            warnings,
 +            network_metrics,
 +            regional_health,
 +            trend_analysis,
 +            risk_assessment,
 +        };
++
 +        // Store in history
 +        self.health_history.push_back(report.clone());
 +        if self.health_history.len() > 1440 {
 +            self.health_history.pop_front();
 +        }
++
 +        // Update predictive models
 +        self.update_predictive_models(&report).await;
++
 +        report
 +    }
++
 +    pub async fn get_current_health_status(&self) -> Option<NetworkHealthReport> {
 +        self.health_history.back().cloned()
 +    }
++
 +    pub fn get_active_alerts(&self) -> Vec<&HealthAlert> {
 +        self.active_alerts.values().collect()
 +    }
++
 +    pub fn get_critical_alerts(&self) -> Vec<&HealthAlert> {
 +        self.active_alerts.values()
 +            .filter(|alert| matches!(alert.severity, AlertSeverity::Critical))
 +            .collect()
 +    }
++
 +    pub async fn predict_future_issues(&self, time_horizon: Duration) -> Vec<PredictedIssue> {
 +        let mut predictions = Vec::new();
++
 +        for model in self.predictive_models.values() {
 +            if let Some(prediction) = self.run_prediction_model(model, time_horizon).await {
 +                predictions.push(prediction);
 +            }
 +        }
++
 +        // Sort by probability and impact
 +        predictions.sort_by(|a, b| {
 +            let score_a = a.probability * a.potential_impact.availability_risk;
 +            let score_b = b.probability * b.potential_impact.availability_risk;
 +            score_b.partial_cmp(&score_a).unwrap()
 +        });
++
 +        predictions
 +    }
++
 +    async fn update_node_health_status(&mut self) {
 +        // Placeholder: In reality, this would collect metrics from all nodes
 +        let now = Instant::now();
++
 +        for node_id in ["node1", "node2", "node3"].iter() {
 +            let health_status = NodeHealthStatus {
 +                node_id: node_id.to_string(),
 +                last_seen: now,
 +                health_score: 0.85 + (now.elapsed().as_secs() as f32 % 100.0) / 1000.0,
 +                metrics: NodeMetrics {
 +                    cpu_usage: 0.4,
 +                    memory_usage: 0.6,
 +                    disk_usage: 0.3,
 +                    network_latency: Duration::from_millis(50),
 +                    error_count: 2,
 +                    uptime: Duration::from_secs(86400 * 30), // 30 days
 +                },
 +                status: NodeStatus::Healthy,
 +            };
++
 +            self.node_health_cache.insert(node_id.to_string(), health_status);
 +        }
 +    }
++
 +    async fn calculate_global_metrics(&self) -> GlobalNetworkMetrics {
 +        let total_nodes = self.node_health_cache.len() as u32;
 +        let healthy_nodes = self.node_health_cache.values()
 +            .filter(|node| matches!(node.status, NodeStatus::Healthy))
 +            .count() as u32;
 +        let unhealthy_nodes = self.node_health_cache.values()
 +            .filter(|node| matches!(node.status, NodeStatus::Warning | NodeStatus::Critical))
 +            .count() as u32;
 +        let offline_nodes = self.node_health_cache.values()
 +            .filter(|node| matches!(node.status, NodeStatus::Offline))
 +            .count() as u32;
++
 +        let average_uptime = if !self.node_health_cache.is_empty() {
 +            self.node_health_cache.values()
 +                .map(|node| node.health_score)
 +                .sum::<f32>() / total_nodes as f32
 +        } else {
 +            0.0
 +        };
++
 +        let latencies: Vec<_> = self.node_health_cache.values()
 +            .map(|node| node.metrics.network_latency.as_millis() as f32)
 +            .collect();
++
 +        let network_latency_p50 = Duration::from_millis(
 +            self.calculate_percentile(&latencies, 0.5) as u64
 +        );
 +        let network_latency_p95 = Duration::from_millis(
 +            self.calculate_percentile(&latencies, 0.95) as u64
 +        );
++
 +        let total_storage_capacity = 100 * 1024 * 1024 * 1024u64; // 100GB per node
 +        let used_storage_capacity = (total_storage_capacity as f32 * 0.4) as u64; // 40% used
++
 +        let error_rate = self.node_health_cache.values()
 +            .map(|node| node.metrics.error_count as f32)
 +            .sum::<f32>() / (total_nodes as f32).max(1.0) / 1000.0;
++
 +        GlobalNetworkMetrics {
 +            total_nodes,
 +            healthy_nodes,
 +            unhealthy_nodes,
 +            offline_nodes,
 +            average_uptime,
 +            network_latency_p50,
 +            network_latency_p95,
 +            total_storage_capacity: total_storage_capacity * total_nodes as u64,
 +            used_storage_capacity: used_storage_capacity * total_nodes as u64,
 +            data_redundancy_level: 2.5, // Average redundancy factor
 +            throughput_mbps: 150.0,
 +            error_rate,
 +        }
 +    }
++
 +    async fn assess_regional_health(&mut self) -> HashMap<String, RegionalHealth> {
 +        let mut regional_health = HashMap::new();
++
 +        let regions = vec!["us-east", "us-west", "europe", "asia-pacific"];
++
 +        for region in regions {
 +            let nodes_in_region: Vec<_> = self.node_health_cache.keys()
 +                .filter(|_| true) // Placeholder: filter by region
 +                .take(2)
 +                .cloned()
 +                .collect();
++
 +            let node_count = nodes_in_region.len() as u32;
 +            let healthy_nodes = nodes_in_region.iter()
 +                .filter(|node_id| {
 +                    if let Some(node) = self.node_health_cache.get(*node_id) {
 +                        matches!(node.status, NodeStatus::Healthy)
 +                    } else {
 +                        false
 +                    }
 +                })
 +                .count() as u32;
++
 +            let average_latency = if !nodes_in_region.is_empty() {
 +                let total_latency: u128 = nodes_in_region.iter()
 +                    .filter_map(|node_id| self.node_health_cache.get(node_id))
 +                    .map(|node| node.metrics.network_latency.as_millis())
 +                    .sum();
 +                Duration::from_millis((total_latency / nodes_in_region.len() as u128) as u64)
 +            } else {
 +                Duration::from_millis(0)
 +            };
++
 +            let health_score = if node_count > 0 {
 +                healthy_nodes as f32 / node_count as f32
 +            } else {
 +                0.0
 +            };
++
 +            let connectivity_status = if health_score > 0.9 {
 +                ConnectivityStatus::Excellent
 +            } else if health_score > 0.8 {
 +                ConnectivityStatus::Good
 +            } else if health_score > 0.6 {
 +                ConnectivityStatus::Degraded
 +            } else if health_score > 0.3 {
 +                ConnectivityStatus::Poor
 +            } else {
 +                ConnectivityStatus::Critical
 +            };
++
 +            let regional = RegionalHealth {
 +                region: region.to_string(),
 +                health_score,
 +                node_count,
 +                healthy_nodes,
 +                average_latency,
 +                storage_utilization: 0.4, // 40% utilized
 +                connectivity_status,
 +                risk_factors: self.identify_regional_risk_factors(region, health_score),
 +            };
++
 +            regional_health.insert(region.to_string(), regional);
 +        }
++
 +        regional_health
 +    }
++
 +    fn analyze_health_trends(&self) -> HealthTrend {
 +        if self.health_history.len() < 5 {
 +            return HealthTrend::default();
 +        }
++
 +        let recent_scores: Vec<_> = self.health_history.iter()
 +            .rev()
 +            .take(60) // Last hour
 +            .map(|report| report.overall_health_score)
 +            .collect();
++
 +        let trend_direction = self.calculate_trend_direction(&recent_scores);
 +        let confidence = self.calculate_trend_confidence(&recent_scores);
++
 +        let key_indicators = vec![
 +            TrendIndicator {
 +                metric: "Overall Health".to_string(),
 +                current_value: recent_scores.first().copied().unwrap_or(0.0),
 +                trend_direction: trend_direction.clone(),
 +                rate_of_change: self.calculate_rate_of_change(&recent_scores),
 +                significance: 0.9,
 +            },
 +            TrendIndicator {
 +                metric: "Node Availability".to_string(),
 +                current_value: 0.95,
 +                trend_direction: TrendDirection::Stable,
 +                rate_of_change: 0.001,
 +                significance: 0.8,
 +            },
 +        ];
++
 +        let predicted_issues = self.generate_trend_predictions(&recent_scores);
++
 +        HealthTrend {
 +            direction: trend_direction,
 +            confidence,
 +            time_window: Duration::from_secs(3600),
 +            key_indicators,
 +            predicted_issues,
 +        }
 +    }
++
 +    fn assess_network_risks(
 +        &self,
 +        metrics: &GlobalNetworkMetrics,
 +        regional_health: &HashMap<String, RegionalHealth>
 +    ) -> RiskAssessment {
 +        let data_loss_risk = if metrics.data_redundancy_level < 2.0 { 0.8 }
 +                            else if metrics.data_redundancy_level < 2.5 { 0.4 }
 +                            else { 0.1 };
++
 +        let availability_risk = 1.0 - (metrics.healthy_nodes as f32 / metrics.total_nodes as f32);
++
 +        let performance_risk = if metrics.network_latency_p95 > Duration::from_millis(1000) { 0.7 }
 +                              else if metrics.network_latency_p95 > Duration::from_millis(500) { 0.4 }
 +                              else { 0.1 };
++
 +        let security_risk = metrics.error_rate * 10.0;
++
 +        let overall_risk_score = (data_loss_risk + availability_risk + performance_risk + security_risk) / 4.0;
 +        let overall_risk_level = if overall_risk_score > 0.8 { RiskLevel::Critical }
 +                                else if overall_risk_score > 0.6 { RiskLevel::High }
 +                                else if overall_risk_score > 0.4 { RiskLevel::Medium }
 +                                else if overall_risk_score > 0.2 { RiskLevel::Low }
 +                                else { RiskLevel::VeryLow };
++
 +        let risk_factors = vec![
 +            NetworkRiskFactor {
 +                factor_type: "Node Concentration".to_string(),
 +                severity: 0.3,
 +                likelihood: 0.4,
 +                impact_scope: "Regional availability".to_string(),
 +                mitigation_options: vec!["Increase geographic distribution".to_string()],
 +            },
 +        ];
++
 +        RiskAssessment {
 +            overall_risk_level,
 +            data_loss_risk,
 +            availability_risk,
 +            performance_risk,
 +            security_risk,
 +            mitigation_effectiveness: 0.7,
 +            risk_factors,
 +        }
 +    }
++
 +    fn calculate_overall_health_score(
 +        &self,
 +        metrics: &GlobalNetworkMetrics,
 +        regional_health: &HashMap<String, RegionalHealth>,
 +        risk_assessment: &RiskAssessment,
 +    ) -> f32 {
 +        let availability_score = metrics.healthy_nodes as f32 / metrics.total_nodes as f32;
 +        let performance_score = if metrics.network_latency_p95 < Duration::from_millis(200) { 1.0 }
 +                               else if metrics.network_latency_p95 < Duration::from_millis(500) { 0.8 }
 +                               else if metrics.network_latency_p95 < Duration::from_millis(1000) { 0.6 }
 +                               else { 0.3 };
++
 +        let regional_score = if regional_health.is_empty() { 0.5 } else {
 +            regional_health.values().map(|r| r.health_score).sum::<f32>() / regional_health.len() as f32
 +        };
++
 +        let risk_score = 1.0 - risk_assessment.availability_risk;
++
 +        (availability_score * 0.4 + performance_score * 0.3 + regional_score * 0.2 + risk_score * 0.1)
 +    }
++
 +    async fn generate_health_alerts(
 +        &mut self,
 +        metrics: &GlobalNetworkMetrics,
 +        regional_health: &HashMap<String, RegionalHealth>,
 +        risk_assessment: &RiskAssessment,
 +    ) -> (Vec<HealthAlert>, Vec<HealthAlert>) {
 +        let mut critical_alerts = Vec::new();
 +        let mut warnings = Vec::new();
++
 +        // Check for critical node failures
 +        if metrics.offline_nodes > metrics.total_nodes / 4 {
 +            let alert = HealthAlert {
 +                id: format!("critical_node_failures_{}", Instant::now().elapsed().as_secs()),
 +                severity: AlertSeverity::Critical,
 +                alert_type: AlertType::NodeFailures,
 +                message: format!("{} nodes are offline ({}% of network)", metrics.offline_nodes,
 +                    (metrics.offline_nodes as f32 / metrics.total_nodes as f32 * 100.0) as u32),
 +                affected_nodes: vec!["multiple".to_string()],
 +                affected_regions: regional_health.keys().cloned().collect(),
 +                first_detected: Instant::now(),
 +                estimated_impact: ImpactAssessment {
 +                    affected_data_percentage: metrics.offline_nodes as f32 / metrics.total_nodes as f32,
 +                    performance_impact: 0.8,
 +                    availability_risk: 0.9,
 +                    estimated_users_affected: 10000,
 +                    data_at_risk: metrics.used_storage_capacity / 4,
 +                },
 +                recommended_actions: vec![
 +                    "Investigate node failures immediately".to_string(),
 +                    "Activate emergency replication".to_string(),
 +                    "Contact affected regions".to_string(),
 +                ],
 +            };
 +            critical_alerts.push(alert);
 +        }
++
 +        // Check storage capacity
 +        let storage_utilization = metrics.used_storage_capacity as f32 / metrics.total_storage_capacity as f32;
 +        if storage_utilization > 0.9 {
 +            let alert = HealthAlert {
 +                id: format!("storage_capacity_{}", Instant::now().elapsed().as_secs()),
 +                severity: AlertSeverity::High,
 +                alert_type: AlertType::StorageCapacity,
 +                message: format!("Network storage is {}% full", (storage_utilization * 100.0) as u32),
 +                affected_nodes: vec!["all".to_string()],
 +                affected_regions: regional_health.keys().cloned().collect(),
 +                first_detected: Instant::now(),
 +                estimated_impact: ImpactAssessment {
 +                    affected_data_percentage: 1.0,
 +                    performance_impact: 0.6,
 +                    availability_risk: 0.4,
 +                    estimated_users_affected: 50000,
 +                    data_at_risk: metrics.used_storage_capacity,
 +                },
 +                recommended_actions: vec![
 +                    "Add storage capacity".to_string(),
 +                    "Implement data cleanup policies".to_string(),
 +                    "Scale up storage nodes".to_string(),
 +                ],
 +            };
 +            warnings.push(alert);
 +        }
++
 +        // Check network performance
 +        if metrics.network_latency_p95 > Duration::from_millis(1000) {
 +            let alert = HealthAlert {
 +                id: format!("network_latency_{}", Instant::now().elapsed().as_secs()),
 +                severity: AlertSeverity::Medium,
 +                alert_type: AlertType::PerformanceDegradation,
 +                message: format!("Network latency is high: {}ms (95th percentile)",
 +                    metrics.network_latency_p95.as_millis()),
 +                affected_nodes: vec!["multiple".to_string()],
 +                affected_regions: regional_health.keys().cloned().collect(),
 +                first_detected: Instant::now(),
 +                estimated_impact: ImpactAssessment {
 +                    affected_data_percentage: 0.0,
 +                    performance_impact: 0.7,
 +                    availability_risk: 0.2,
 +                    estimated_users_affected: 25000,
 +                    data_at_risk: 0,
 +                },
 +                recommended_actions: vec![
 +                    "Investigate network congestion".to_string(),
 +                    "Optimize routing".to_string(),
 +                    "Check regional connectivity".to_string(),
 +                ],
 +            };
 +            warnings.push(alert);
 +        }
++
 +        (critical_alerts, warnings)
 +    }
++
 +    async fn update_predictive_models(&mut self, report: &NetworkHealthReport) {
 +        // Update models based on new health report data
 +        let data_point = HealthDataPoint {
 +            timestamp: report.timestamp,
 +            metrics: vec![
 +                report.overall_health_score,
 +                report.network_metrics.healthy_nodes as f32 / report.network_metrics.total_nodes as f32,
 +                report.network_metrics.network_latency_p95.as_millis() as f32 / 1000.0,
 +                report.network_metrics.error_rate,
 +            ],
 +            outcome: None, // Would be populated when actual issues occur
 +        };
++
 +        for model in self.predictive_models.values_mut() {
 +            model.training_data.push_back(data_point.clone());
 +            if model.training_data.len() > 1000 {
 +                model.training_data.pop_front();
 +            }
 +        }
 +    }
++
 +    async fn run_prediction_model(&self, model: &HealthPredictionModel, time_horizon: Duration) -> Option<PredictedIssue> {
 +        if model.training_data.len() < 10 {
 +            return None;
 +        }
++
 +        // Simple prediction based on recent trends
 +        let recent_health: Vec<_> = model.training_data.iter()
 +            .rev()
 +            .take(10)
 +            .map(|dp| dp.metrics[0])
 +            .collect();
++
 +        let trend = self.calculate_rate_of_change(&recent_health);
 +        let current_health = recent_health.first().copied().unwrap_or(0.5);
++
 +        if trend < -0.01 && current_health < 0.7 {
 +            Some(PredictedIssue {
 +                issue_type: AlertType::PerformanceDegradation,
 +                probability: 0.6,
 +                predicted_time: Instant::now() + time_horizon,
 +                potential_impact: ImpactAssessment {
 +                    affected_data_percentage: 0.3,
 +                    performance_impact: 0.5,
 +                    availability_risk: 0.3,
 +                    estimated_users_affected: 15000,
 +                    data_at_risk: 1024 * 1024 * 1024, // 1GB
 +                },
 +                prevention_actions: vec![
 +                    "Increase monitoring frequency".to_string(),
 +                    "Prepare additional resources".to_string(),
 +                ],
 +            })
 +        } else {
 +            None
 +        }
 +    }
++
 +    fn identify_regional_risk_factors(&self, _region: &str, health_score: f32) -> Vec<RegionalRiskFactor> {
 +        let mut factors = Vec::new();
++
 +        if health_score < 0.7 {
 +            factors.push(RegionalRiskFactor::InfrastructureIssues);
 +        }
++
 +        factors
 +    }
++
 +    fn calculate_percentile(&self, values: &[f32], percentile: f32) -> f32 {
 +        if values.is_empty() {
 +            return 0.0;
 +        }
++
 +        let mut sorted_values = values.to_vec();
 +        sorted_values.sort_by(|a, b| a.partial_cmp(b).unwrap());
++
 +        let index = (percentile * (sorted_values.len() - 1) as f32).round() as usize;
 +        sorted_values[index.min(sorted_values.len() - 1)]
 +    }
++
 +    fn calculate_trend_direction(&self, values: &[f32]) -> TrendDirection {
 +        if values.len() < 2 {
 +            return TrendDirection::Stable;
 +        }
++
 +        let slope = self.calculate_rate_of_change(values);
++
 +        if slope > 0.05 { TrendDirection::StronglyImproving }
 +        else if slope > 0.02 { TrendDirection::Improving }
 +        else if slope > -0.02 { TrendDirection::Stable }
 +        else if slope > -0.05 { TrendDirection::Declining }
 +        else { TrendDirection::StronglyDeclining }
 +    }
++
 +    fn calculate_trend_confidence(&self, values: &[f32]) -> f32 {
 +        if values.len() < 3 {
 +            return 0.1;
 +        }
++
 +        let mean = values.iter().sum::<f32>() / values.len() as f32;
 +        let variance = values.iter()
 +            .map(|&x| (x - mean).powi(2))
 +            .sum::<f32>() / values.len() as f32;
++
 +        1.0 / (1.0 + variance * 10.0)
 +    }
++
 +    fn calculate_rate_of_change(&self, values: &[f32]) -> f32 {
 +        if values.len() < 2 {
 +            return 0.0;
 +        }
++
 +        let first = values.last().copied().unwrap_or(0.0);
 +        let last = values.first().copied().unwrap_or(0.0);
++
 +        (last - first) / values.len() as f32
 +    }
++
 +    fn generate_trend_predictions(&self, _values: &[f32]) -> Vec<PredictedIssue> {
 +        // Placeholder: Would generate predictions based on trend analysis
 +        Vec::new()
 +    }
 +}
++
 +impl Default for AlertThresholds {
 +    fn default() -> Self {
 +        Self {
 +            node_failure_threshold: 0.1,     // 10% node failures trigger alert
 +            network_latency_threshold: Duration::from_millis(500),
 +            storage_utilization_threshold: 0.85, // 85% storage usage
 +            error_rate_threshold: 0.05,     // 5% error rate
 +            uptime_threshold: 0.95,         // 95% uptime required
 +            redundancy_threshold: 2.0,      // Minimum 2x redundancy
 +        }
 +    }
 +}
++
 +impl Default for HealthTrend {
 +    fn default() -> Self {
 +        Self {
 +            direction: TrendDirection::Stable,
 +            confidence: 0.5,
 +            time_window: Duration::from_secs(3600),
 +            key_indicators: Vec::new(),
 +            predicted_issues: Vec::new(),
 +        }
 +    }
 +}

src/redundancy/predictive_replication.rsadded

 +//! Predictive Replication Module
 +//!
 +//! Machine learning-based node failure prediction and proactive data migration
++
 +use serde::{Deserialize, Serialize};
 +use std::collections::HashMap;
 +use tokio::time::{Duration, Instant};
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct NodeMetrics {
 +    pub node_id: String,
 +    pub uptime_percentage: f32,
 +    pub response_latency: Duration,
 +    pub storage_usage: f32,
 +    pub bandwidth_utilization: f32,
 +    pub error_rate: f32,
 +    pub last_failure: Option<Instant>,
 +    pub hardware_health: HardwareHealth,
 +    pub geographic_risk: GeographicRisk,
 +    pub network_stability: NetworkStability,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct HardwareHealth {
 +    pub cpu_temperature: f32,
 +    pub disk_health_score: f32,
 +    pub memory_errors: u32,
 +    pub power_stability: f32,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct GeographicRisk {
 +    pub natural_disaster_risk: f32,
 +    pub political_stability: f32,
 +    pub infrastructure_quality: f32,
 +    pub connectivity_redundancy: f32,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct NetworkStability {
 +    pub connection_drops: u32,
 +    pub peer_count: u32,
 +    pub routing_efficiency: f32,
 +    pub congestion_level: f32,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct FailurePrediction {
 +    pub node_id: String,
 +    pub failure_probability: f32,
 +    pub predicted_failure_time: Option<Instant>,
 +    pub confidence_score: f32,
 +    pub risk_factors: Vec<RiskFactor>,
 +    pub recommended_actions: Vec<RecommendedAction>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum RiskFactor {
 +    HighLatency,
 +    FrequentDisconnections,
 +    StorageExhaustion,
 +    HardwareDeterioration,
 +    NetworkCongestion,
 +    GeographicInstability,
 +    PerformanceDegradation,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum RecommendedAction {
 +    MigrateChunksImmediately,
 +    IncreaseRedundancy,
 +    ScheduleMaintenance,
 +    ReduceLoad,
 +    MonitorClosely,
 +    PrepareFailover,
 +}
++
 +pub struct MLPredictor {
 +    node_history: HashMap<String, Vec<NodeMetrics>>,
 +    prediction_models: HashMap<String, PredictionModel>,
 +    feature_weights: FeatureWeights,
 +    training_data: Vec<TrainingExample>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct PredictionModel {
 +    weights: Vec<f32>,
 +    bias: f32,
 +    accuracy: f32,
 +    last_updated: Instant,
 +}
++
 +#[derive(Debug, Clone)]
 +struct FeatureWeights {
 +    uptime: f32,
 +    latency: f32,
 +    storage: f32,
 +    bandwidth: f32,
 +    error_rate: f32,
 +    hardware_health: f32,
 +    geographic_risk: f32,
 +    network_stability: f32,
 +}
++
 +#[derive(Debug, Clone)]
 +struct TrainingExample {
 +    features: Vec<f32>,
 +    outcome: bool, // true if node failed
 +    timestamp: Instant,
 +}
++
 +impl MLPredictor {
 +    pub fn new() -> Self {
 +        Self {
 +            node_history: HashMap::new(),
 +            prediction_models: HashMap::new(),
 +            feature_weights: FeatureWeights::default(),
 +            training_data: Vec::new(),
 +        }
 +    }
++
 +    pub async fn update_node_metrics(&mut self, metrics: NodeMetrics) {
 +        let node_id = metrics.node_id.clone();
 +        let history = self.node_history.entry(node_id.clone()).or_insert_with(Vec::new);
++
 +        history.push(metrics.clone());
++
 +        // Keep only last 1000 data points per node
 +        if history.len() > 1000 {
 +            history.drain(0..history.len() - 1000);
 +        }
++
 +        // Update training data based on actual failures
 +        if let Some(last_metrics) = history.get(history.len().saturating_sub(2)) {
 +            if self.detect_failure_transition(last_metrics, &metrics) {
 +                let features = self.extract_features(last_metrics);
 +                self.training_data.push(TrainingExample {
 +                    features,
 +                    outcome: true,
 +                    timestamp: Instant::now(),
 +                });
 +            }
 +        }
++
 +        // Retrain model periodically
 +        if history.len() % 100 == 0 {
 +            self.retrain_model(&node_id).await;
 +        }
 +    }
++
 +    pub async fn predict_node_failure(&self, node_id: &str) -> Option<FailurePrediction> {
 +        let history = self.node_history.get(node_id)?;
 +        let latest_metrics = history.last()?;
 +        let model = self.prediction_models.get(node_id)?;
++
 +        let features = self.extract_features(latest_metrics);
 +        let failure_probability = self.calculate_failure_probability(&features, model);
++
 +        if failure_probability < 0.1 {
 +            return None; // Low risk, no prediction needed
 +        }
++
 +        let confidence_score = self.calculate_confidence(&features, model);
 +        let risk_factors = self.identify_risk_factors(latest_metrics);
 +        let recommended_actions = self.generate_recommendations(failure_probability, &risk_factors);
++
 +        let predicted_failure_time = if failure_probability > 0.7 {
 +            Some(Instant::now() + Duration::from_secs(3600)) // 1 hour
 +        } else if failure_probability > 0.5 {
 +            Some(Instant::now() + Duration::from_secs(7200)) // 2 hours
 +        } else {
 +            Some(Instant::now() + Duration::from_secs(14400)) // 4 hours
 +        };
++
 +        Some(FailurePrediction {
 +            node_id: node_id.to_string(),
 +            failure_probability,
 +            predicted_failure_time,
 +            confidence_score,
 +            risk_factors,
 +            recommended_actions,
 +        })
 +    }
++
 +    pub async fn get_high_risk_nodes(&self) -> Vec<FailurePrediction> {
 +        let mut high_risk = Vec::new();
++
 +        for node_id in self.node_history.keys() {
 +            if let Some(prediction) = self.predict_node_failure(node_id).await {
 +                if prediction.failure_probability > 0.3 {
 +                    high_risk.push(prediction);
 +                }
 +            }
 +        }
++
 +        // Sort by failure probability (highest first)
 +        high_risk.sort_by(|a, b| b.failure_probability.partial_cmp(&a.failure_probability).unwrap());
 +        high_risk
 +    }
++
 +    fn extract_features(&self, metrics: &NodeMetrics) -> Vec<f32> {
 +        vec![
 +            metrics.uptime_percentage,
 +            metrics.response_latency.as_millis() as f32,
 +            metrics.storage_usage,
 +            metrics.bandwidth_utilization,
 +            metrics.error_rate,
 +            self.calculate_hardware_score(&metrics.hardware_health),
 +            self.calculate_geographic_risk_score(&metrics.geographic_risk),
 +            self.calculate_network_stability_score(&metrics.network_stability),
 +        ]
 +    }
++
 +    fn calculate_failure_probability(&self, features: &[f32], model: &PredictionModel) -> f32 {
 +        let mut score = model.bias;
 +        for (feature, weight) in features.iter().zip(model.weights.iter()) {
 +            score += feature * weight;
 +        }
++
 +        // Sigmoid activation
 +        1.0 / (1.0 + (-score).exp())
 +    }
++
 +    fn calculate_confidence(&self, features: &[f32], model: &PredictionModel) -> f32 {
 +        // Confidence based on feature consistency and model accuracy
 +        let feature_variance = self.calculate_feature_variance(features);
 +        let base_confidence = model.accuracy;
++
 +        // Higher variance reduces confidence
 +        base_confidence * (1.0 - feature_variance.min(0.5))
 +    }
++
 +    fn calculate_feature_variance(&self, features: &[f32]) -> f32 {
 +        if features.is_empty() {
 +            return 0.0;
 +        }
++
 +        let mean: f32 = features.iter().sum::<f32>() / features.len() as f32;
 +        let variance: f32 = features.iter()
 +            .map(|x| (x - mean).powi(2))
 +            .sum::<f32>() / features.len() as f32;
++
 +        variance.sqrt()
 +    }
++
 +    fn identify_risk_factors(&self, metrics: &NodeMetrics) -> Vec<RiskFactor> {
 +        let mut factors = Vec::new();
++
 +        if metrics.response_latency > Duration::from_millis(1000) {
 +            factors.push(RiskFactor::HighLatency);
 +        }
++
 +        if metrics.error_rate > 0.05 {
 +            factors.push(RiskFactor::FrequentDisconnections);
 +        }
++
 +        if metrics.storage_usage > 0.9 {
 +            factors.push(RiskFactor::StorageExhaustion);
 +        }
++
 +        if metrics.hardware_health.disk_health_score < 0.7
 +            || metrics.hardware_health.cpu_temperature > 80.0 {
 +            factors.push(RiskFactor::HardwareDeterioration);
 +        }
++
 +        if metrics.network_stability.congestion_level > 0.8 {
 +            factors.push(RiskFactor::NetworkCongestion);
 +        }
++
 +        if metrics.geographic_risk.natural_disaster_risk > 0.6
 +            || metrics.geographic_risk.political_stability < 0.4 {
 +            factors.push(RiskFactor::GeographicInstability);
 +        }
++
 +        if metrics.uptime_percentage < 0.95 && metrics.bandwidth_utilization < 0.3 {
 +            factors.push(RiskFactor::PerformanceDegradation);
 +        }
++
 +        factors
 +    }
++
 +    fn generate_recommendations(
 +        &self,
 +        failure_probability: f32,
 +        risk_factors: &[RiskFactor]
 +    ) -> Vec<RecommendedAction> {
 +        let mut actions = Vec::new();
++
 +        if failure_probability > 0.8 {
 +            actions.push(RecommendedAction::MigrateChunksImmediately);
 +            actions.push(RecommendedAction::PrepareFailover);
 +        } else if failure_probability > 0.6 {
 +            actions.push(RecommendedAction::IncreaseRedundancy);
 +            actions.push(RecommendedAction::MonitorClosely);
 +        } else if failure_probability > 0.4 {
 +            actions.push(RecommendedAction::ScheduleMaintenance);
 +        }
++
 +        for factor in risk_factors {
 +            match factor {
 +                RiskFactor::StorageExhaustion => {
 +                    actions.push(RecommendedAction::ReduceLoad);
 +                }
 +                RiskFactor::HardwareDeterioration => {
 +                    actions.push(RecommendedAction::ScheduleMaintenance);
 +                }
 +                RiskFactor::NetworkCongestion => {
 +                    actions.push(RecommendedAction::ReduceLoad);
 +                }
 +                _ => {}
 +            }
 +        }
++
 +        actions.sort();
 +        actions.dedup();
 +        actions
 +    }
++
 +    async fn retrain_model(&mut self, node_id: &str) {
 +        if let Some(history) = self.node_history.get(node_id) {
 +            if history.len() < 50 {
 +                return; // Need more data
 +            }
++
 +            let mut model = PredictionModel {
 +                weights: vec![0.1; 8], // Initialize with small weights
 +                bias: 0.0,
 +                accuracy: 0.5,
 +                last_updated: Instant::now(),
 +            };
++
 +            // Simple gradient descent training
 +            let learning_rate = 0.01;
 +            let epochs = 100;
++
 +            for _ in 0..epochs {
 +                for example in &self.training_data {
 +                    if example.features.len() == 8 {
 +                        let prediction = self.calculate_failure_probability(&example.features, &model);
 +                        let target = if example.outcome { 1.0 } else { 0.0 };
 +                        let error = prediction - target;
++
 +                        // Update weights
 +                        for (i, feature) in example.features.iter().enumerate() {
 +                            model.weights[i] -= learning_rate * error * feature;
 +                        }
 +                        model.bias -= learning_rate * error;
 +                    }
 +                }
 +            }
++
 +            // Calculate accuracy on validation set
 +            let mut correct = 0;
 +            let mut total = 0;
 +            for example in &self.training_data {
 +                if example.features.len() == 8 {
 +                    let prediction = self.calculate_failure_probability(&example.features, &model);
 +                    let predicted_outcome = prediction > 0.5;
 +                    if predicted_outcome == example.outcome {
 +                        correct += 1;
 +                    }
 +                    total += 1;
 +                }
 +            }
++
 +            if total > 0 {
 +                model.accuracy = correct as f32 / total as f32;
 +            }
++
 +            self.prediction_models.insert(node_id.to_string(), model);
 +        }
 +    }
++
 +    fn detect_failure_transition(&self, previous: &NodeMetrics, current: &NodeMetrics) -> bool {
 +        // Detect if node has failed based on metrics change
 +        let uptime_drop = previous.uptime_percentage - current.uptime_percentage;
 +        let latency_spike = current.response_latency.as_millis() as f32 /
 +                           previous.response_latency.as_millis() as f32;
 +        let error_increase = current.error_rate / previous.error_rate.max(0.001);
++
 +        uptime_drop > 0.2 || latency_spike > 2.0 || error_increase > 3.0
 +    }
++
 +    fn calculate_hardware_score(&self, health: &HardwareHealth) -> f32 {
 +        let temp_score = if health.cpu_temperature > 90.0 { 0.0 }
 +                        else if health.cpu_temperature > 80.0 { 0.3 }
 +                        else if health.cpu_temperature > 70.0 { 0.7 }
 +                        else { 1.0 };
++
 +        let disk_score = health.disk_health_score;
 +        let memory_score = if health.memory_errors > 10 { 0.2 }
 +                          else if health.memory_errors > 5 { 0.6 }
 +                          else { 1.0 };
 +        let power_score = health.power_stability;
++
 +        (temp_score + disk_score + memory_score + power_score) / 4.0
 +    }
++
 +    fn calculate_geographic_risk_score(&self, risk: &GeographicRisk) -> f32 {
 +        let disaster_score = 1.0 - risk.natural_disaster_risk;
 +        let political_score = risk.political_stability;
 +        let infrastructure_score = risk.infrastructure_quality;
 +        let connectivity_score = risk.connectivity_redundancy;
++
 +        (disaster_score + political_score + infrastructure_score + connectivity_score) / 4.0
 +    }
++
 +    fn calculate_network_stability_score(&self, stability: &NetworkStability) -> f32 {
 +        let connection_score = if stability.connection_drops > 10 { 0.2 }
 +                              else if stability.connection_drops > 5 { 0.6 }
 +                              else { 1.0 };
++
 +        let peer_score = if stability.peer_count < 3 { 0.3 }
 +                        else if stability.peer_count < 8 { 0.7 }
 +                        else { 1.0 };
++
 +        let routing_score = stability.routing_efficiency;
 +        let congestion_score = 1.0 - stability.congestion_level;
++
 +        (connection_score + peer_score + routing_score + congestion_score) / 4.0
 +    }
 +}
++
 +impl Default for FeatureWeights {
 +    fn default() -> Self {
 +        Self {
 +            uptime: 0.25,
 +            latency: 0.20,
 +            storage: 0.15,
 +            bandwidth: 0.10,
 +            error_rate: 0.15,
 +            hardware_health: 0.05,
 +            geographic_risk: 0.05,
 +            network_stability: 0.05,
 +        }
 +    }
 +}
++
 +pub struct ProactiveReplicationManager {
 +    predictor: MLPredictor,
 +    migration_scheduler: MigrationScheduler,
 +    chunk_priority_queue: Vec<ChunkMigrationTask>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct ChunkMigrationTask {
 +    chunk_id: String,
 +    source_nodes: Vec<String>,
 +    target_nodes: Vec<String>,
 +    priority: u8, // 1-10, higher is more urgent
 +    deadline: Instant,
 +    estimated_transfer_time: Duration,
 +}
++
 +struct MigrationScheduler {
 +    active_migrations: HashMap<String, MigrationProgress>,
 +    bandwidth_budget: BandwidthBudget,
 +    node_capacities: HashMap<String, NodeCapacity>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct MigrationProgress {
 +    task: ChunkMigrationTask,
 +    bytes_transferred: u64,
 +    total_bytes: u64,
 +    start_time: Instant,
 +    estimated_completion: Instant,
 +}
++
 +#[derive(Debug, Clone)]
 +struct BandwidthBudget {
 +    total_available: u64, // bytes per second
 +    reserved_for_users: u64,
 +    available_for_migration: u64,
 +    current_usage: u64,
 +}
++
 +#[derive(Debug, Clone)]
 +struct NodeCapacity {
 +    storage_available: u64,
 +    bandwidth_capacity: u64,
 +    current_load: f32,
 +    reliability_score: f32,
 +}
++
 +impl ProactiveReplicationManager {
 +    pub fn new() -> Self {
 +        Self {
 +            predictor: MLPredictor::new(),
 +            migration_scheduler: MigrationScheduler::new(),
 +            chunk_priority_queue: Vec::new(),
 +        }
 +    }
++
 +    pub async fn analyze_and_migrate(&mut self) -> Result<(), Box<dyn std::error::Error>> {
 +        // Get high-risk nodes
 +        let high_risk_nodes = self.predictor.get_high_risk_nodes().await;
++
 +        for prediction in high_risk_nodes {
 +            if prediction.failure_probability > 0.5 {
 +                self.schedule_emergency_migration(&prediction.node_id, prediction.failure_probability).await?;
 +            } else if prediction.failure_probability > 0.3 {
 +                self.schedule_preemptive_migration(&prediction.node_id, prediction.failure_probability).await?;
 +            }
 +        }
++
 +        // Execute scheduled migrations
 +        self.execute_migration_queue().await?;
++
 +        Ok(())
 +    }
++
 +    async fn schedule_emergency_migration(&mut self, node_id: &str, risk: f32) -> Result<(), Box<dyn std::error::Error>> {
 +        let chunks = self.get_chunks_on_node(node_id).await?;
++
 +        for chunk_id in chunks {
 +            let task = ChunkMigrationTask {
 +                chunk_id,
 +                source_nodes: vec![node_id.to_string()],
 +                target_nodes: self.select_migration_targets(2, Some(node_id)).await?,
 +                priority: 10, // Highest priority
 +                deadline: Instant::now() + Duration::from_secs(1800), // 30 minutes
 +                estimated_transfer_time: Duration::from_secs(300), // 5 minutes estimate
 +            };
++
 +            self.chunk_priority_queue.push(task);
 +        }
++
 +        // Sort by priority and deadline
 +        self.chunk_priority_queue.sort_by(|a, b| {
 +            b.priority.cmp(&a.priority)
 +                .then_with(|| a.deadline.cmp(&b.deadline))
 +        });
++
 +        Ok(())
 +    }
++
 +    async fn schedule_preemptive_migration(&mut self, node_id: &str, risk: f32) -> Result<(), Box<dyn std::error::Error>> {
 +        let chunks = self.get_chunks_on_node(node_id).await?;
 +        let priority = ((risk - 0.3) * 20.0) as u8 + 3; // Priority 3-7
++
 +        for chunk_id in chunks {
 +            let task = ChunkMigrationTask {
 +                chunk_id,
 +                source_nodes: vec![node_id.to_string()],
 +                target_nodes: self.select_migration_targets(1, Some(node_id)).await?,
 +                priority,
 +                deadline: Instant::now() + Duration::from_secs(7200), // 2 hours
 +                estimated_transfer_time: Duration::from_secs(600), // 10 minutes estimate
 +            };
++
 +            self.chunk_priority_queue.push(task);
 +        }
++
 +        self.chunk_priority_queue.sort_by(|a, b| {
 +            b.priority.cmp(&a.priority)
 +                .then_with(|| a.deadline.cmp(&b.deadline))
 +        });
++
 +        Ok(())
 +    }
++
 +    async fn execute_migration_queue(&mut self) -> Result<(), Box<dyn std::error::Error>> {
 +        let available_bandwidth = self.migration_scheduler.bandwidth_budget.available_for_migration;
 +        let mut current_bandwidth_usage = 0u64;
++
 +        while let Some(task) = self.chunk_priority_queue.pop() {
 +            if current_bandwidth_usage + self.estimate_bandwidth_usage(&task) > available_bandwidth {
 +                // Put task back and wait for next cycle
 +                self.chunk_priority_queue.push(task);
 +                break;
 +            }
++
 +            if self.can_start_migration(&task).await {
 +                self.start_migration(task).await?;
 +                current_bandwidth_usage += self.estimate_bandwidth_usage(&self.chunk_priority_queue.last().unwrap());
 +            }
 +        }
++
 +        Ok(())
 +    }
++
 +    async fn get_chunks_on_node(&self, _node_id: &str) -> Result<Vec<String>, Box<dyn std::error::Error>> {
 +        // Placeholder: In reality, this would query the chunk index
 +        Ok(vec!["chunk_1".to_string(), "chunk_2".to_string()])
 +    }
++
 +    async fn select_migration_targets(&self, count: usize, avoid_node: Option<&str>) -> Result<Vec<String>, Box<dyn std::error::Error>> {
 +        let mut candidates: Vec<_> = self.migration_scheduler.node_capacities.iter()
 +            .filter(|(node_id, capacity)| {
 +                if let Some(avoid) = avoid_node {
 +                    *node_id != avoid && capacity.current_load < 0.8 && capacity.reliability_score > 0.7
 +                } else {
 +                    capacity.current_load < 0.8 && capacity.reliability_score > 0.7
 +                }
 +            })
 +            .collect();
++
 +        candidates.sort_by(|a, b| b.1.reliability_score.partial_cmp(&a.1.reliability_score).unwrap());
++
 +        Ok(candidates.into_iter()
 +            .take(count)
 +            .map(|(node_id, _)| node_id.clone())
 +            .collect())
 +    }
++
 +    async fn can_start_migration(&self, task: &ChunkMigrationTask) -> bool {
 +        // Check if target nodes have capacity
 +        for target_node in &task.target_nodes {
 +            if let Some(capacity) = self.migration_scheduler.node_capacities.get(target_node) {
 +                if capacity.current_load > 0.85 {
 +                    return false;
 +                }
 +            }
 +        }
++
 +        // Check if we're not already migrating this chunk
 +        !self.migration_scheduler.active_migrations.contains_key(&task.chunk_id)
 +    }
++
 +    async fn start_migration(&mut self, task: ChunkMigrationTask) -> Result<(), Box<dyn std::error::Error>> {
 +        let progress = MigrationProgress {
 +            task: task.clone(),
 +            bytes_transferred: 0,
 +            total_bytes: 1024 * 1024, // 1MB estimate
 +            start_time: Instant::now(),
 +            estimated_completion: Instant::now() + task.estimated_transfer_time,
 +        };
++
 +        self.migration_scheduler.active_migrations.insert(task.chunk_id, progress);
++
 +        // Placeholder: In reality, this would initiate the actual transfer
 +        println!("Starting migration of chunk {} from {:?} to {:?}",
 +                task.chunk_id, task.source_nodes, task.target_nodes);
++
 +        Ok(())
 +    }
++
 +    fn estimate_bandwidth_usage(&self, task: &ChunkMigrationTask) -> u64 {
 +        // Estimate based on chunk size and transfer time
 +        let chunk_size = 1024 * 1024; // 1MB estimate
 +        let transfer_duration = task.estimated_transfer_time.as_secs().max(1);
 +        chunk_size / transfer_duration
 +    }
 +}
++
 +impl MigrationScheduler {
 +    fn new() -> Self {
 +        Self {
 +            active_migrations: HashMap::new(),
 +            bandwidth_budget: BandwidthBudget {
 +                total_available: 100 * 1024 * 1024, // 100 MB/s
 +                reserved_for_users: 70 * 1024 * 1024, // 70 MB/s for users
 +                available_for_migration: 30 * 1024 * 1024, // 30 MB/s for migration
 +                current_usage: 0,
 +            },
 +            node_capacities: HashMap::new(),
 +        }
 +    }
 +}

src/redundancy/recovery_optimizer.rsadded

 +//! Bandwidth-Optimized Recovery Algorithms
 +//!
 +//! Efficient algorithms for data recovery that minimize bandwidth usage
 +//! while maximizing recovery speed and reliability
++
 +use anyhow::Result;
 +use serde::{Deserialize, Serialize};
 +use std::collections::{HashMap, BTreeMap, HashSet};
 +use chrono::{DateTime, Utc, Duration};
++
 +use crate::economics::GeographicRegion;
 +use super::reed_solomon::{EncodedChunk, ReconstructionRequest};
++
 +/// Bandwidth-optimized recovery manager
 +#[derive(Debug, Clone)]
 +pub struct RecoveryOptimizer {
 +    /// Network topology information
 +    pub network_topology: NetworkTopology,
 +    /// Bandwidth optimization strategies
 +    pub optimization_strategies: Vec<OptimizationStrategy>,
 +    /// Performance metrics
 +    pub performance_metrics: RecoveryMetrics,
 +    /// Recovery algorithms configuration
 +    pub algorithms: AlgorithmConfig,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct NetworkTopology {
 +    /// Node connectivity information
 +    pub nodes: HashMap<String, NodeInfo>,
 +    /// Connection bandwidth matrix
 +    pub bandwidth_matrix: HashMap<(String, String), BandwidthInfo>,
 +    /// Regional connectivity
 +    pub regional_links: HashMap<GeographicRegion, RegionalConnectivity>,
 +    /// Network congestion levels
 +    pub congestion_levels: HashMap<String, CongestionInfo>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct NodeInfo {
 +    pub node_id: String,
 +    pub region: GeographicRegion,
 +    pub available_bandwidth_mbps: f64,
 +    pub latency_profile: HashMap<String, f64>,
 +    pub connection_quality: ConnectionQuality,
 +    pub load_factor: f64,
 +    pub active_transfers: u32,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct BandwidthInfo {
 +    pub theoretical_max_mbps: f64,
 +    pub current_available_mbps: f64,
 +    pub average_utilization: f64,
 +    pub latency_ms: f64,
 +    pub reliability_score: f64,
 +    pub cost_per_gb: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RegionalConnectivity {
 +    pub region: GeographicRegion,
 +    pub total_capacity_gbps: f64,
 +    pub utilized_capacity_gbps: f64,
 +    pub inter_region_links: HashMap<GeographicRegion, f64>,
 +    pub backbone_quality: BackboneQuality,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct CongestionInfo {
 +    pub node_id: String,
 +    pub current_load: f64,
 +    pub predicted_load: f64,
 +    pub congestion_trend: CongestionTrend,
 +    pub time_to_clear: Option<Duration>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum CongestionTrend {
 +    Increasing,
 +    Stable,
 +    Decreasing,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ConnectionQuality {
 +    Excellent, // Fiber, low latency
 +    Good,      // Fast broadband
 +    Average,   // Standard broadband
 +    Poor,      // Slow/unreliable
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum BackboneQuality {
 +    Tier1,     // Top-tier internet backbone
 +    Tier2,     // Regional provider
 +    Tier3,     // Local provider
 +    Satellite, // Satellite connectivity
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum OptimizationStrategy {
 +    ParallelRecovery,        // Download chunks in parallel
 +    ProgressiveRecovery,     // Start with most critical chunks
 +    LocalityOptimized,       // Prefer nearby nodes
 +    LoadBalanced,           // Balance load across nodes
 +    CostOptimized,          // Minimize transfer costs
 +    LatencyOptimized,       // Minimize total time
 +    AdaptiveBandwidth,      // Adjust based on available bandwidth
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RecoveryMetrics {
 +    pub total_recoveries: u64,
 +    pub successful_recoveries: u64,
 +    pub average_recovery_time_seconds: f64,
 +    pub average_bandwidth_efficiency: f64,
 +    pub total_bytes_recovered: u64,
 +    pub cost_savings_percent: f64,
 +    pub last_updated: DateTime<Utc>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct AlgorithmConfig {
 +    pub max_parallel_streams: u32,
 +    pub chunk_prefetch_count: u32,
 +    pub adaptive_bandwidth_threshold: f64,
 +    pub load_balancing_factor: f64,
 +    pub locality_preference_weight: f64,
 +    pub congestion_avoidance_enabled: bool,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RecoveryPlan {
 +    pub plan_id: String,
 +    pub target_chunks: Vec<String>,
 +    pub recovery_steps: Vec<RecoveryStep>,
 +    pub estimated_time_seconds: f64,
 +    pub estimated_bandwidth_usage_mb: f64,
 +    pub estimated_cost: f64,
 +    pub optimization_strategy: OptimizationStrategy,
 +    pub fallback_plans: Vec<FallbackPlan>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RecoveryStep {
 +    pub step_id: String,
 +    pub step_type: RecoveryStepType,
 +    pub source_nodes: Vec<String>,
 +    pub target_chunks: Vec<String>,
 +    pub estimated_duration_seconds: f64,
 +    pub bandwidth_requirement_mbps: f64,
 +    pub priority: RecoveryPriority,
 +    pub dependencies: Vec<String>, // Step IDs this depends on
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum RecoveryStepType {
 +    DirectTransfer,      // Direct chunk download
 +    ParallelTransfer,    // Multiple chunks in parallel
 +    ErasureReconstruct,  // Reed-Solomon reconstruction
 +    VerifyIntegrity,     // Verify recovered data
 +    Prefetch,           // Preemptive chunk fetching
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum RecoveryPriority {
 +    Critical,   // Must complete first
 +    High,       // Important for performance
 +    Normal,     // Standard priority
 +    Background, // Can be delayed
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct FallbackPlan {
 +    pub fallback_id: String,
 +    pub trigger_conditions: Vec<String>,
 +    pub alternative_steps: Vec<RecoveryStep>,
 +    pub performance_impact: f64,
 +}
++
 +impl Default for AlgorithmConfig {
 +    fn default() -> Self {
 +        Self {
 +            max_parallel_streams: 8,
 +            chunk_prefetch_count: 2,
 +            adaptive_bandwidth_threshold: 0.8,
 +            load_balancing_factor: 0.3,
 +            locality_preference_weight: 0.6,
 +            congestion_avoidance_enabled: true,
 +        }
 +    }
 +}
++
 +impl RecoveryOptimizer {
 +    /// Create new recovery optimizer
 +    pub fn new() -> Self {
 +        Self {
 +            network_topology: NetworkTopology {
 +                nodes: HashMap::new(),
 +                bandwidth_matrix: HashMap::new(),
 +                regional_links: HashMap::new(),
 +                congestion_levels: HashMap::new(),
 +            },
 +            optimization_strategies: vec![
 +                OptimizationStrategy::AdaptiveBandwidth,
 +                OptimizationStrategy::LoadBalanced,
 +                OptimizationStrategy::LocalityOptimized,
 +            ],
 +            performance_metrics: RecoveryMetrics {
 +                total_recoveries: 0,
 +                successful_recoveries: 0,
 +                average_recovery_time_seconds: 0.0,
 +                average_bandwidth_efficiency: 0.0,
 +                total_bytes_recovered: 0,
 +                cost_savings_percent: 0.0,
 +                last_updated: Utc::now(),
 +            },
 +            algorithms: AlgorithmConfig::default(),
 +        }
 +    }
++
 +    /// Create optimized recovery plan
 +    pub fn create_recovery_plan(
 +        &self,
 +        missing_chunks: &[String],
 +        available_chunks: &HashMap<String, Vec<NodeLocation>>,
 +        recovery_requirements: RecoveryRequirements,
 +    ) -> Result<RecoveryPlan> {
++
 +        // Analyze available sources
 +        let source_analysis = self.analyze_chunk_sources(available_chunks)?;
++
 +        // Select optimal strategy based on requirements
 +        let strategy = self.select_optimization_strategy(&recovery_requirements, &source_analysis)?;
++
 +        // Generate recovery steps
 +        let recovery_steps = self.generate_recovery_steps(
 +            missing_chunks,
 +            available_chunks,
 +            &strategy,
 +            &recovery_requirements,
 +        )?;
++
 +        // Calculate estimates
 +        let (estimated_time, estimated_bandwidth, estimated_cost) =
 +            self.calculate_recovery_estimates(&recovery_steps)?;
++
 +        // Generate fallback plans
 +        let fallback_plans = self.generate_fallback_plans(
 +            missing_chunks,
 +            available_chunks,
 +            &recovery_requirements,
 +        )?;
++
 +        Ok(RecoveryPlan {
 +            plan_id: format!("recovery_plan_{}", Utc::now().timestamp()),
 +            target_chunks: missing_chunks.to_vec(),
 +            recovery_steps,
 +            estimated_time_seconds: estimated_time,
 +            estimated_bandwidth_usage_mb: estimated_bandwidth,
 +            estimated_cost,
 +            optimization_strategy: strategy,
 +            fallback_plans,
 +        })
 +    }
++
 +    /// Analyze available chunk sources for optimization
 +    fn analyze_chunk_sources(
 +        &self,
 +        available_chunks: &HashMap<String, Vec<NodeLocation>>,
 +    ) -> Result<SourceAnalysis> {
 +        let mut analysis = SourceAnalysis {
 +            total_sources: 0,
 +            sources_by_region: HashMap::new(),
 +            bandwidth_distribution: BandwidthDistribution::default(),
 +            load_distribution: LoadDistribution::default(),
 +        };
++
 +        for (chunk_id, locations) in available_chunks {
 +            analysis.total_sources += locations.len();
++
 +            for location in locations {
 +                // Analyze by region
 +                *analysis.sources_by_region.entry(location.region.clone()).or_insert(0) += 1;
++
 +                // Analyze bandwidth availability
 +                if let Some(node_info) = self.network_topology.nodes.get(&location.node_id) {
 +                    analysis.bandwidth_distribution.update(node_info.available_bandwidth_mbps);
 +                    analysis.load_distribution.update(node_info.load_factor);
 +                }
 +            }
 +        }
++
 +        Ok(analysis)
 +    }
++
 +    /// Select optimal recovery strategy
 +    fn select_optimization_strategy(
 +        &self,
 +        requirements: &RecoveryRequirements,
 +        analysis: &SourceAnalysis,
 +    ) -> Result<OptimizationStrategy> {
++
 +        // Priority-based selection
 +        if requirements.time_critical {
 +            if analysis.bandwidth_distribution.high_bandwidth_sources > 3 {
 +                return Ok(OptimizationStrategy::ParallelRecovery);
 +            } else {
 +                return Ok(OptimizationStrategy::LatencyOptimized);
 +            }
 +        }
++
 +        if requirements.cost_sensitive {
 +            return Ok(OptimizationStrategy::CostOptimized);
 +        }
++
 +        if analysis.sources_by_region.len() > 1 {
 +            return Ok(OptimizationStrategy::LocalityOptimized);
 +        }
++
 +        // Default to adaptive bandwidth
 +        Ok(OptimizationStrategy::AdaptiveBandwidth)
 +    }
++
 +    /// Generate optimized recovery steps
 +    fn generate_recovery_steps(
 +        &self,
 +        missing_chunks: &[String],
 +        available_chunks: &HashMap<String, Vec<NodeLocation>>,
 +        strategy: &OptimizationStrategy,
 +        requirements: &RecoveryRequirements,
 +    ) -> Result<Vec<RecoveryStep>> {
 +        match strategy {
 +            OptimizationStrategy::ParallelRecovery => {
 +                self.generate_parallel_recovery_steps(missing_chunks, available_chunks, requirements)
 +            },
 +            OptimizationStrategy::ProgressiveRecovery => {
 +                self.generate_progressive_recovery_steps(missing_chunks, available_chunks, requirements)
 +            },
 +            OptimizationStrategy::LocalityOptimized => {
 +                self.generate_locality_optimized_steps(missing_chunks, available_chunks, requirements)
 +            },
 +            OptimizationStrategy::LoadBalanced => {
 +                self.generate_load_balanced_steps(missing_chunks, available_chunks, requirements)
 +            },
 +            OptimizationStrategy::AdaptiveBandwidth => {
 +                self.generate_adaptive_bandwidth_steps(missing_chunks, available_chunks, requirements)
 +            },
 +            _ => {
 +                // Default implementation
 +                self.generate_basic_recovery_steps(missing_chunks, available_chunks, requirements)
 +            }
 +        }
 +    }
++
 +    /// Generate parallel recovery steps
 +    fn generate_parallel_recovery_steps(
 +        &self,
 +        missing_chunks: &[String],
 +        available_chunks: &HashMap<String, Vec<NodeLocation>>,
 +        _requirements: &RecoveryRequirements,
 +    ) -> Result<Vec<RecoveryStep>> {
 +        let mut steps = Vec::new();
 +        let max_parallel = self.algorithms.max_parallel_streams as usize;
++
 +        // Group chunks into parallel batches
 +        for (batch_idx, chunk_batch) in missing_chunks.chunks(max_parallel).enumerate() {
 +            let mut source_nodes = Vec::new();
 +            let mut chunk_list = Vec::new();
++
 +            for chunk_id in chunk_batch {
 +                if let Some(locations) = available_chunks.get(chunk_id) {
 +                    // Select best source for this chunk
 +                    let best_source = self.select_best_source(locations)?;
 +                    source_nodes.push(best_source.node_id.clone());
 +                    chunk_list.push(chunk_id.clone());
 +                }
 +            }
++
 +            if !chunk_list.is_empty() {
 +                steps.push(RecoveryStep {
 +                    step_id: format!("parallel_batch_{}", batch_idx),
 +                    step_type: RecoveryStepType::ParallelTransfer,
 +                    source_nodes,
 +                    target_chunks: chunk_list,
 +                    estimated_duration_seconds: 30.0, // Estimate based on parallel efficiency
 +                    bandwidth_requirement_mbps: 100.0 * chunk_batch.len() as f64,
 +                    priority: RecoveryPriority::High,
 +                    dependencies: Vec::new(),
 +                });
 +            }
 +        }
++
 +        // Add verification step
 +        steps.push(RecoveryStep {
 +            step_id: "verify_parallel_recovery".to_string(),
 +            step_type: RecoveryStepType::VerifyIntegrity,
 +            source_nodes: Vec::new(),
 +            target_chunks: missing_chunks.to_vec(),
 +            estimated_duration_seconds: 5.0,
 +            bandwidth_requirement_mbps: 0.0,
 +            priority: RecoveryPriority::Critical,
 +            dependencies: steps.iter().map(|s| s.step_id.clone()).collect(),
 +        });
++
 +        Ok(steps)
 +    }
++
 +    /// Generate locality-optimized recovery steps
 +    fn generate_locality_optimized_steps(
 +        &self,
 +        missing_chunks: &[String],
 +        available_chunks: &HashMap<String, Vec<NodeLocation>>,
 +        requirements: &RecoveryRequirements,
 +    ) -> Result<Vec<RecoveryStep>> {
 +        // Group chunks by optimal source region
 +        let mut chunks_by_region: HashMap<GeographicRegion, Vec<String>> = HashMap::new();
++
 +        for chunk_id in missing_chunks {
 +            if let Some(locations) = available_chunks.get(chunk_id) {
 +                let optimal_region = self.find_optimal_source_region(locations, requirements)?;
 +                chunks_by_region.entry(optimal_region)
 +                    .or_insert_with(Vec::new)
 +                    .push(chunk_id.clone());
 +            }
 +        }
++
 +        // Create steps for each region
 +        let mut steps = Vec::new();
 +        for (region, chunks) in chunks_by_region {
 +            let region_nodes = self.get_region_nodes(&region);
++
 +            steps.push(RecoveryStep {
 +                step_id: format!("locality_{:?}", region),
 +                step_type: RecoveryStepType::DirectTransfer,
 +                source_nodes: region_nodes.into_iter().take(3).collect(), // Top 3 nodes
 +                target_chunks: chunks,
 +                estimated_duration_seconds: 45.0,
 +                bandwidth_requirement_mbps: 50.0,
 +                priority: RecoveryPriority::Normal,
 +                dependencies: Vec::new(),
 +            });
 +        }
++
 +        Ok(steps)
 +    }
++
 +    /// Generate adaptive bandwidth recovery steps
 +    fn generate_adaptive_bandwidth_steps(
 +        &self,
 +        missing_chunks: &[String],
 +        available_chunks: &HashMap<String, Vec<NodeLocation>>,
 +        _requirements: &RecoveryRequirements,
 +    ) -> Result<Vec<RecoveryStep>> {
 +        let mut steps = Vec::new();
++
 +        // Analyze current network conditions
 +        let network_capacity = self.calculate_available_network_capacity()?;
++
 +        // Adaptive chunking based on available bandwidth
 +        let optimal_batch_size = self.calculate_optimal_batch_size(network_capacity);
++
 +        for (batch_idx, chunk_batch) in missing_chunks.chunks(optimal_batch_size).enumerate() {
 +            let bandwidth_per_chunk = network_capacity / chunk_batch.len() as f64;
++
 +            let mut batch_sources = Vec::new();
 +            for chunk_id in chunk_batch {
 +                if let Some(locations) = available_chunks.get(chunk_id) {
 +                    let source = self.select_bandwidth_optimal_source(locations, bandwidth_per_chunk)?;
 +                    batch_sources.push(source.node_id);
 +                }
 +            }
++
 +            steps.push(RecoveryStep {
 +                step_id: format!("adaptive_batch_{}", batch_idx),
 +                step_type: RecoveryStepType::ParallelTransfer,
 +                source_nodes: batch_sources,
 +                target_chunks: chunk_batch.to_vec(),
 +                estimated_duration_seconds: 60.0 / (network_capacity / 100.0), // Scale with capacity
 +                bandwidth_requirement_mbps: network_capacity * 0.8, // Use 80% of capacity
 +                priority: RecoveryPriority::Normal,
 +                dependencies: Vec::new(),
 +            });
 +        }
++
 +        Ok(steps)
 +    }
++
 +    /// Generate basic recovery steps (fallback)
 +    fn generate_basic_recovery_steps(
 +        &self,
 +        missing_chunks: &[String],
 +        available_chunks: &HashMap<String, Vec<NodeLocation>>,
 +        _requirements: &RecoveryRequirements,
 +    ) -> Result<Vec<RecoveryStep>> {
 +        let mut steps = Vec::new();
++
 +        for (idx, chunk_id) in missing_chunks.iter().enumerate() {
 +            if let Some(locations) = available_chunks.get(chunk_id) {
 +                let source = self.select_best_source(locations)?;
++
 +                steps.push(RecoveryStep {
 +                    step_id: format!("basic_recovery_{}", idx),
 +                    step_type: RecoveryStepType::DirectTransfer,
 +                    source_nodes: vec![source.node_id],
 +                    target_chunks: vec![chunk_id.clone()],
 +                    estimated_duration_seconds: 30.0,
 +                    bandwidth_requirement_mbps: 25.0,
 +                    priority: RecoveryPriority::Normal,
 +                    dependencies: Vec::new(),
 +                });
 +            }
 +        }
++
 +        Ok(steps)
 +    }
++
 +    /// Select best source node from available locations
 +    fn select_best_source(&self, locations: &[NodeLocation]) -> Result<&NodeLocation> {
 +        let mut best_location = &locations[0];
 +        let mut best_score = 0.0;
++
 +        for location in locations {
 +            let score = self.calculate_source_score(location)?;
 +            if score > best_score {
 +                best_score = score;
 +                best_location = location;
 +            }
 +        }
++
 +        Ok(best_location)
 +    }
++
 +    /// Calculate source quality score
 +    fn calculate_source_score(&self, location: &NodeLocation) -> Result<f64> {
 +        let node_info = self.network_topology.nodes.get(&location.node_id)
 +            .ok_or_else(|| anyhow::anyhow!("Node info not found"))?;
++
 +        let bandwidth_score = (node_info.available_bandwidth_mbps / 100.0).min(1.0);
 +        let load_score = 1.0 - node_info.load_factor;
 +        let quality_score = match node_info.connection_quality {
 +            ConnectionQuality::Excellent => 1.0,
 +            ConnectionQuality::Good => 0.8,
 +            ConnectionQuality::Average => 0.6,
 +            ConnectionQuality::Poor => 0.3,
 +        };
++
 +        Ok(bandwidth_score * 0.4 + load_score * 0.3 + quality_score * 0.3)
 +    }
++
 +    /// Calculate available network capacity
 +    fn calculate_available_network_capacity(&self) -> Result<f64> {
 +        let total_capacity: f64 = self.network_topology.nodes
 +            .values()
 +            .map(|node| node.available_bandwidth_mbps)
 +            .sum();
++
 +        let avg_utilization: f64 = self.network_topology.nodes
 +            .values()
 +            .map(|node| node.load_factor)
 +            .sum::<f64>() / self.network_topology.nodes.len() as f64;
++
 +        Ok(total_capacity * (1.0 - avg_utilization))
 +    }
++
 +    /// Calculate optimal batch size for current network conditions
 +    fn calculate_optimal_batch_size(&self, available_bandwidth: f64) -> usize {
 +        // Adaptive batch sizing based on bandwidth
 +        if available_bandwidth > 500.0 {
 +            8 // High bandwidth - large batches
 +        } else if available_bandwidth > 200.0 {
 +            4 // Medium bandwidth
 +        } else if available_bandwidth > 50.0 {
 +            2 // Low bandwidth
 +        } else {
 +            1 // Very low bandwidth - sequential
 +        }
 +    }
++
 +    /// Select bandwidth-optimal source
 +    fn select_bandwidth_optimal_source(
 +        &self,
 +        locations: &[NodeLocation],
 +        required_bandwidth: f64,
 +    ) -> Result<&NodeLocation> {
 +        let mut best_location = &locations[0];
 +        let mut best_bandwidth = 0.0;
++
 +        for location in locations {
 +            if let Some(node_info) = self.network_topology.nodes.get(&location.node_id) {
 +                if node_info.available_bandwidth_mbps >= required_bandwidth &&
 +                   node_info.available_bandwidth_mbps > best_bandwidth {
 +                    best_bandwidth = node_info.available_bandwidth_mbps;
 +                    best_location = location;
 +                }
 +            }
 +        }
++
 +        Ok(best_location)
 +    }
++
 +    /// Find optimal source region for chunk recovery
 +    fn find_optimal_source_region(
 +        &self,
 +        locations: &[NodeLocation],
 +        requirements: &RecoveryRequirements,
 +    ) -> Result<GeographicRegion> {
 +        // If client region is specified, prefer that
 +        if let Some(client_region) = &requirements.client_region {
 +            if locations.iter().any(|loc| loc.region == *client_region) {
 +                return Ok(client_region.clone());
 +            }
 +        }
++
 +        // Otherwise, select region with best connectivity
 +        let mut region_scores: HashMap<GeographicRegion, f64> = HashMap::new();
++
 +        for location in locations {
 +            let score = region_scores.entry(location.region.clone()).or_insert(0.0);
 +            *score += self.calculate_source_score(location)?;
 +        }
++
 +        let best_region = region_scores
 +            .into_iter()
 +            .max_by(|a, b| a.1.partial_cmp(&b.1).unwrap_or(std::cmp::Ordering::Equal))
 +            .map(|(region, _)| region)
 +            .unwrap_or(GeographicRegion::NorthAmerica);
++
 +        Ok(best_region)
 +    }
++
 +    /// Get nodes in a specific region
 +    fn get_region_nodes(&self, region: &GeographicRegion) -> Vec<String> {
 +        self.network_topology.nodes
 +            .values()
 +            .filter(|node| node.region == *region)
 +            .map(|node| node.node_id.clone())
 +            .collect()
 +    }
++
 +    /// Generate fallback plans
 +    fn generate_fallback_plans(
 +        &self,
 +        missing_chunks: &[String],
 +        available_chunks: &HashMap<String, Vec<NodeLocation>>,
 +        requirements: &RecoveryRequirements,
 +    ) -> Result<Vec<FallbackPlan>> {
 +        let mut fallback_plans = Vec::new();
++
 +        // Fallback 1: Sequential recovery if parallel fails
 +        fallback_plans.push(FallbackPlan {
 +            fallback_id: "sequential_fallback".to_string(),
 +            trigger_conditions: vec!["parallel_transfer_failed".to_string()],
 +            alternative_steps: self.generate_basic_recovery_steps(
 +                missing_chunks,
 +                available_chunks,
 +                requirements,
 +            )?,
 +            performance_impact: 0.5, // 50% slower
 +        });
++
 +        // Fallback 2: High-latency sources if primary sources fail
 +        fallback_plans.push(FallbackPlan {
 +            fallback_id: "high_latency_fallback".to_string(),
 +            trigger_conditions: vec!["primary_sources_unavailable".to_string()],
 +            alternative_steps: self.generate_high_latency_recovery_steps(
 +                missing_chunks,
 +                available_chunks,
 +            )?,
 +            performance_impact: 1.5, // 150% slower
 +        });
++
 +        Ok(fallback_plans)
 +    }
++
 +    /// Generate high-latency recovery steps
 +    fn generate_high_latency_recovery_steps(
 +        &self,
 +        missing_chunks: &[String],
 +        available_chunks: &HashMap<String, Vec<NodeLocation>>,
 +    ) -> Result<Vec<RecoveryStep>> {
 +        // Implementation would select slower but more reliable sources
 +        self.generate_basic_recovery_steps(missing_chunks, available_chunks, &RecoveryRequirements::default())
 +    }
++
 +    /// Calculate recovery estimates
 +    fn calculate_recovery_estimates(
 +        &self,
 +        steps: &[RecoveryStep],
 +    ) -> Result<(f64, f64, f64)> {
 +        let total_time = steps.iter()
 +            .map(|step| step.estimated_duration_seconds)
 +            .sum::<f64>();
++
 +        let total_bandwidth = steps.iter()
 +            .map(|step| step.bandwidth_requirement_mbps * step.estimated_duration_seconds / 8.0) // Convert to MB
 +            .sum::<f64>();
++
 +        let total_cost = total_bandwidth * 0.02; // Estimate $0.02 per GB
++
 +        Ok((total_time, total_bandwidth, total_cost))
 +    }
++
 +    /// Execute recovery plan
 +    pub async fn execute_recovery_plan(&mut self, plan: &RecoveryPlan) -> Result<RecoveryExecutionResult> {
 +        let start_time = std::time::Instant::now();
 +        let mut executed_steps = Vec::new();
 +        let mut total_bytes_recovered = 0u64;
++
 +        // Execute steps according to dependencies
 +        for step in &plan.recovery_steps {
 +            let step_result = self.execute_recovery_step(step).await?;
 +            total_bytes_recovered += step_result.bytes_transferred;
 +            executed_steps.push(step_result);
 +        }
++
 +        let execution_time = start_time.elapsed().as_secs_f64();
++
 +        // Update metrics
 +        self.performance_metrics.total_recoveries += 1;
 +        self.performance_metrics.successful_recoveries += 1;
 +        self.performance_metrics.total_bytes_recovered += total_bytes_recovered;
++
 +        // Update average recovery time
 +        let total_successful = self.performance_metrics.successful_recoveries as f64;
 +        self.performance_metrics.average_recovery_time_seconds =
 +            (self.performance_metrics.average_recovery_time_seconds * (total_successful - 1.0) + execution_time) / total_successful;
++
 +        Ok(RecoveryExecutionResult {
 +            plan_id: plan.plan_id.clone(),
 +            success: true,
 +            execution_time_seconds: execution_time,
 +            bytes_recovered: total_bytes_recovered,
 +            bandwidth_efficiency: self.calculate_bandwidth_efficiency(plan, execution_time),
 +            executed_steps,
 +            error_message: None,
 +        })
 +    }
++
 +    /// Execute single recovery step
 +    async fn execute_recovery_step(&self, step: &RecoveryStep) -> Result<StepExecutionResult> {
 +        // Simulate step execution
 +        let chunk_size = 1024 * 1024; // 1MB per chunk
 +        let bytes_per_chunk = chunk_size;
 +        let total_bytes = step.target_chunks.len() as u64 * bytes_per_chunk;
++
 +        // Simulate transfer time
 +        tokio::time::sleep(tokio::time::Duration::from_millis(
 +            (step.estimated_duration_seconds * 100.0) as u64
 +        )).await;
++
 +        Ok(StepExecutionResult {
 +            step_id: step.step_id.clone(),
 +            success: true,
 +            bytes_transferred: total_bytes,
 +            actual_duration_seconds: step.estimated_duration_seconds,
 +            bandwidth_used_mbps: step.bandwidth_requirement_mbps,
 +            error_message: None,
 +        })
 +    }
++
 +    /// Calculate bandwidth efficiency
 +    fn calculate_bandwidth_efficiency(&self, plan: &RecoveryPlan, actual_time: f64) -> f64 {
 +        let theoretical_optimal = plan.estimated_bandwidth_usage_mb / plan.estimated_time_seconds;
 +        let actual_efficiency = plan.estimated_bandwidth_usage_mb / actual_time;
++
 +        (actual_efficiency / theoretical_optimal).min(1.0)
 +    }
 +}
++
 +// Supporting types and implementations
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct NodeLocation {
 +    pub node_id: String,
 +    pub region: GeographicRegion,
 +    pub availability_score: f64,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RecoveryRequirements {
 +    pub time_critical: bool,
 +    pub cost_sensitive: bool,
 +    pub client_region: Option<GeographicRegion>,
 +    pub max_bandwidth_mbps: Option<f64>,
 +    pub preferred_quality: ConnectionQuality,
 +}
++
 +impl Default for RecoveryRequirements {
 +    fn default() -> Self {
 +        Self {
 +            time_critical: false,
 +            cost_sensitive: false,
 +            client_region: None,
 +            max_bandwidth_mbps: None,
 +            preferred_quality: ConnectionQuality::Good,
 +        }
 +    }
 +}
++
 +#[derive(Debug, Default)]
 +struct SourceAnalysis {
 +    pub total_sources: usize,
 +    pub sources_by_region: HashMap<GeographicRegion, usize>,
 +    pub bandwidth_distribution: BandwidthDistribution,
 +    pub load_distribution: LoadDistribution,
 +}
++
 +#[derive(Debug, Default)]
 +struct BandwidthDistribution {
 +    pub high_bandwidth_sources: usize,   // >100 Mbps
 +    pub medium_bandwidth_sources: usize, // 50-100 Mbps
 +    pub low_bandwidth_sources: usize,    // <50 Mbps
 +}
++
 +impl BandwidthDistribution {
 +    fn update(&mut self, bandwidth: f64) {
 +        if bandwidth > 100.0 {
 +            self.high_bandwidth_sources += 1;
 +        } else if bandwidth > 50.0 {
 +            self.medium_bandwidth_sources += 1;
 +        } else {
 +            self.low_bandwidth_sources += 1;
 +        }
 +    }
 +}
++
 +#[derive(Debug, Default)]
 +struct LoadDistribution {
 +    pub low_load_sources: usize,    // <30% load
 +    pub medium_load_sources: usize, // 30-70% load
 +    pub high_load_sources: usize,   // >70% load
 +}
++
 +impl LoadDistribution {
 +    fn update(&mut self, load: f64) {
 +        if load < 0.3 {
 +            self.low_load_sources += 1;
 +        } else if load < 0.7 {
 +            self.medium_load_sources += 1;
 +        } else {
 +            self.high_load_sources += 1;
 +        }
 +    }
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct RecoveryExecutionResult {
 +    pub plan_id: String,
 +    pub success: bool,
 +    pub execution_time_seconds: f64,
 +    pub bytes_recovered: u64,
 +    pub bandwidth_efficiency: f64,
 +    pub executed_steps: Vec<StepExecutionResult>,
 +    pub error_message: Option<String>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct StepExecutionResult {
 +    pub step_id: String,
 +    pub success: bool,
 +    pub bytes_transferred: u64,
 +    pub actual_duration_seconds: f64,
 +    pub bandwidth_used_mbps: f64,
 +    pub error_message: Option<String>,
 +}
++
 +// Placeholder implementations for missing methods
 +impl RecoveryOptimizer {
 +    fn generate_progressive_recovery_steps(
 +        &self,
 +        missing_chunks: &[String],
 +        available_chunks: &HashMap<String, Vec<NodeLocation>>,
 +        requirements: &RecoveryRequirements,
 +    ) -> Result<Vec<RecoveryStep>> {
 +        // Implementation would prioritize chunks by importance
 +        self.generate_basic_recovery_steps(missing_chunks, available_chunks, requirements)
 +    }
++
 +    fn generate_load_balanced_steps(
 +        &self,
 +        missing_chunks: &[String],
 +        available_chunks: &HashMap<String, Vec<NodeLocation>>,
 +        requirements: &RecoveryRequirements,
 +    ) -> Result<Vec<RecoveryStep>> {
 +        // Implementation would distribute load evenly across nodes
 +        self.generate_basic_recovery_steps(missing_chunks, available_chunks, requirements)
 +    }
 +}
++
 +#[cfg(test)]
 +mod tests {
 +    use super::*;
++
 +    #[test]
 +    fn test_recovery_optimizer_creation() {
 +        let optimizer = RecoveryOptimizer::new();
 +        assert!(!optimizer.optimization_strategies.is_empty());
 +        assert_eq!(optimizer.algorithms.max_parallel_streams, 8);
 +    }
++
 +    #[test]
 +    fn test_bandwidth_distribution() {
 +        let mut dist = BandwidthDistribution::default();
++
 +        dist.update(150.0); // High
 +        dist.update(75.0);  // Medium
 +        dist.update(25.0);  // Low
++
 +        assert_eq!(dist.high_bandwidth_sources, 1);
 +        assert_eq!(dist.medium_bandwidth_sources, 1);
 +        assert_eq!(dist.low_bandwidth_sources, 1);
 +    }
++
 +    #[test]
 +    fn test_optimal_batch_size_calculation() {
 +        let optimizer = RecoveryOptimizer::new();
++
 +        assert_eq!(optimizer.calculate_optimal_batch_size(600.0), 8);
 +        assert_eq!(optimizer.calculate_optimal_batch_size(300.0), 4);
 +        assert_eq!(optimizer.calculate_optimal_batch_size(100.0), 2);
 +        assert_eq!(optimizer.calculate_optimal_batch_size(30.0), 1);
 +    }
++
 +    #[tokio::test]
 +    async fn test_recovery_plan_creation() {
 +        let optimizer = RecoveryOptimizer::new();
 +        let missing_chunks = vec!["chunk1".to_string(), "chunk2".to_string()];
 +        let mut available_chunks = HashMap::new();
++
 +        available_chunks.insert("chunk1".to_string(), vec![
 +            NodeLocation {
 +                node_id: "node1".to_string(),
 +                region: GeographicRegion::NorthAmerica,
 +                availability_score: 0.9,
 +            }
 +        ]);
++
 +        let requirements = RecoveryRequirements::default();
++
 +        let plan = optimizer.create_recovery_plan(
 +            &missing_chunks,
 +            &available_chunks,
 +            requirements,
 +        ).unwrap();
++
 +        assert!(!plan.plan_id.is_empty());
 +        assert!(!plan.recovery_steps.is_empty());
 +        assert!(plan.estimated_time_seconds > 0.0);
 +    }
 +}

src/redundancy/reed_solomon.rsadded

 +//! Reed-Solomon Error Correction
 +//!
 +//! Efficient Reed-Solomon coding for ZephyrFS chunks, providing mathematical
 +//! redundancy that can reconstruct data from partial chunks
++
 +use anyhow::Result;
 +use serde::{Deserialize, Serialize};
 +use std::collections::HashMap;
 +use chrono::{DateTime, Utc};
++
 +/// Reed-Solomon encoder/decoder for ZephyrFS
 +#[derive(Debug, Clone)]
 +pub struct ReedSolomonCodec {
 +    /// Coding parameters
 +    pub config: ReedSolomonConfig,
 +    /// Galois field arithmetic
 +    pub galois_field: GaloisField,
 +    /// Encoding matrices
 +    pub encoding_matrix: Vec<Vec<u8>>,
 +    pub decoding_cache: HashMap<Vec<usize>, Vec<Vec<u8>>>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ReedSolomonConfig {
 +    /// Number of data chunks
 +    pub data_chunks: u32,
 +    /// Number of parity chunks
 +    pub parity_chunks: u32,
 +    /// Chunk size in bytes
 +    pub chunk_size: usize,
 +    /// Galois field size (typically 2^8 = 256)
 +    pub field_size: u32,
 +    /// Primitive polynomial for GF(2^8)
 +    pub primitive_poly: u32,
 +}
++
 +/// Galois Field arithmetic for Reed-Solomon
 +#[derive(Debug, Clone)]
 +pub struct GaloisField {
 +    /// Field size (2^8 = 256)
 +    pub size: u32,
 +    /// Generator polynomial
 +    pub generator: u32,
 +    /// Logarithm table
 +    pub log_table: Vec<u8>,
 +    /// Antilogarithm table
 +    pub antilog_table: Vec<u8>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct EncodedChunk {
 +    pub chunk_id: String,
 +    pub chunk_index: u32,
 +    pub chunk_type: ChunkType,
 +    pub data: Vec<u8>,
 +    pub metadata: ChunkMetadata,
 +    pub created_at: DateTime<Utc>,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum ChunkType {
 +    Data,
 +    Parity,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ChunkMetadata {
 +    pub original_size: usize,
 +    pub checksum: String,
 +    pub encoding_config: ReedSolomonConfig,
 +    pub chunk_position: u32,
 +    pub total_chunks: u32,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ReconstructionRequest {
 +    pub original_chunk_id: String,
 +    pub available_chunks: Vec<EncodedChunk>,
 +    pub missing_chunk_indices: Vec<u32>,
 +    pub target_chunk_size: usize,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ReconstructionResult {
 +    pub success: bool,
 +    pub reconstructed_chunks: Vec<EncodedChunk>,
 +    pub reconstruction_time_ms: u64,
 +    pub error_message: Option<String>,
 +    pub verification_passed: bool,
 +}
++
 +impl Default for ReedSolomonConfig {
 +    fn default() -> Self {
 +        Self {
 +            data_chunks: 6,
 +            parity_chunks: 3,
 +            chunk_size: 1024 * 1024, // 1MB chunks
 +            field_size: 256,
 +            primitive_poly: 0x11d, // Standard GF(2^8) primitive polynomial
 +        }
 +    }
 +}
++
 +impl GaloisField {
 +    /// Create new Galois Field GF(2^8)
 +    pub fn new() -> Self {
 +        let mut gf = Self {
 +            size: 256,
 +            generator: 0x11d, // x^8 + x^4 + x^3 + x^2 + 1
 +            log_table: vec![0; 256],
 +            antilog_table: vec![0; 256],
 +        };
++
 +        gf.build_tables();
 +        gf
 +    }
++
 +    /// Build logarithm and antilogarithm tables
 +    fn build_tables(&mut self) {
 +        let mut val = 1u32;
++
 +        for i in 0..255 {
 +            self.antilog_table[i] = val as u8;
 +            self.log_table[val as usize] = i as u8;
++
 +            val <<= 1;
 +            if val & self.size != 0 {
 +                val ^= self.generator;
 +            }
 +        }
++
 +        self.antilog_table[255] = self.antilog_table[0];
 +    }
++
 +    /// Galois field multiplication
 +    pub fn multiply(&self, a: u8, b: u8) -> u8 {
 +        if a == 0 || b == 0 {
 +            return 0;
 +        }
++
 +        let log_sum = (self.log_table[a as usize] as u32 + self.log_table[b as usize] as u32) % 255;
 +        self.antilog_table[log_sum as usize]
 +    }
++
 +    /// Galois field division
 +    pub fn divide(&self, a: u8, b: u8) -> u8 {
 +        if a == 0 {
 +            return 0;
 +        }
 +        if b == 0 {
 +            panic!("Division by zero in Galois field");
 +        }
++
 +        let log_diff = (self.log_table[a as usize] as i32 - self.log_table[b as usize] as i32 + 255) % 255;
 +        self.antilog_table[log_diff as usize]
 +    }
++
 +    /// Galois field power
 +    pub fn power(&self, base: u8, exp: u8) -> u8 {
 +        if base == 0 {
 +            return 0;
 +        }
++
 +        let log_result = (self.log_table[base as usize] as u32 * exp as u32) % 255;
 +        self.antilog_table[log_result as usize]
 +    }
 +}
++
 +impl ReedSolomonCodec {
 +    /// Create new Reed-Solomon codec
 +    pub fn new(config: ReedSolomonConfig) -> Result<Self> {
 +        let galois_field = GaloisField::new();
 +        let encoding_matrix = Self::build_encoding_matrix(&config, &galois_field)?;
++
 +        Ok(Self {
 +            config,
 +            galois_field,
 +            encoding_matrix,
 +            decoding_cache: HashMap::new(),
 +        })
 +    }
++
 +    /// Build encoding matrix for Reed-Solomon
 +    fn build_encoding_matrix(config: &ReedSolomonConfig, gf: &GaloisField) -> Result<Vec<Vec<u8>>> {
 +        let total_chunks = config.data_chunks + config.parity_chunks;
 +        let mut matrix = Vec::with_capacity(total_chunks as usize);
++
 +        // Identity matrix for data chunks
 +        for i in 0..config.data_chunks {
 +            let mut row = vec![0u8; config.data_chunks as usize];
 +            row[i as usize] = 1;
 +            matrix.push(row);
 +        }
++
 +        // Vandermonde matrix for parity chunks
 +        for i in 0..config.parity_chunks {
 +            let mut row = Vec::with_capacity(config.data_chunks as usize);
 +            let alpha = (i + 1) as u8; // Generator element
++
 +            for j in 0..config.data_chunks {
 +                row.push(gf.power(alpha, j as u8));
 +            }
 +            matrix.push(row);
 +        }
++
 +        Ok(matrix)
 +    }
++
 +    /// Encode data into Reed-Solomon chunks
 +    pub fn encode(&self, chunk_id: String, data: &[u8]) -> Result<Vec<EncodedChunk>> {
 +        let chunk_size = self.config.chunk_size;
 +        let data_chunks = self.config.data_chunks as usize;
 +        let total_chunks = (self.config.data_chunks + self.config.parity_chunks) as usize;
++
 +        // Pad data to fit evenly into data chunks
 +        let padded_size = ((data.len() + data_chunks - 1) / data_chunks) * data_chunks;
 +        let mut padded_data = data.to_vec();
 +        padded_data.resize(padded_size, 0);
++
 +        let chunk_data_size = padded_size / data_chunks;
 +        let mut chunks = Vec::with_capacity(total_chunks);
++
 +        // Create data chunks
 +        for i in 0..data_chunks {
 +            let start = i * chunk_data_size;
 +            let end = start + chunk_data_size;
 +            let chunk_data = padded_data[start..end].to_vec();
++
 +            chunks.push(EncodedChunk {
 +                chunk_id: format!("{}_{}", chunk_id, i),
 +                chunk_index: i as u32,
 +                chunk_type: ChunkType::Data,
 +                data: chunk_data,
 +                metadata: ChunkMetadata {
 +                    original_size: if i == data_chunks - 1 {
 +                        data.len() - (data_chunks - 1) * chunk_data_size
 +                    } else {
 +                        chunk_data_size
 +                    },
 +                    checksum: self.calculate_checksum(&padded_data[start..end]),
 +                    encoding_config: self.config.clone(),
 +                    chunk_position: i as u32,
 +                    total_chunks: total_chunks as u32,
 +                },
 +                created_at: Utc::now(),
 +            });
 +        }
++
 +        // Create parity chunks
 +        for i in data_chunks..total_chunks {
 +            let mut parity_data = vec![0u8; chunk_data_size];
++
 +            // Calculate parity using encoding matrix
 +            for j in 0..chunk_data_size {
 +                let mut parity_byte = 0u8;
++
 +                for k in 0..data_chunks {
 +                    let data_byte = padded_data[k * chunk_data_size + j];
 +                    let coeff = self.encoding_matrix[i][k];
 +                    parity_byte ^= self.galois_field.multiply(data_byte, coeff);
 +                }
++
 +                parity_data[j] = parity_byte;
 +            }
++
 +            chunks.push(EncodedChunk {
 +                chunk_id: format!("{}_{}", chunk_id, i),
 +                chunk_index: i as u32,
 +                chunk_type: ChunkType::Parity,
 +                data: parity_data.clone(),
 +                metadata: ChunkMetadata {
 +                    original_size: chunk_data_size,
 +                    checksum: self.calculate_checksum(&parity_data),
 +                    encoding_config: self.config.clone(),
 +                    chunk_position: i as u32,
 +                    total_chunks: total_chunks as u32,
 +                },
 +                created_at: Utc::now(),
 +            });
 +        }
++
 +        Ok(chunks)
 +    }
++
 +    /// Decode/reconstruct data from available chunks
 +    pub fn decode(&mut self, request: ReconstructionRequest) -> Result<ReconstructionResult> {
 +        let start_time = std::time::Instant::now();
++
 +        // Verify we have enough chunks for reconstruction
 +        if request.available_chunks.len() < self.config.data_chunks as usize {
 +            return Ok(ReconstructionResult {
 +                success: false,
 +                reconstructed_chunks: Vec::new(),
 +                reconstruction_time_ms: start_time.elapsed().as_millis() as u64,
 +                error_message: Some(format!(
 +                    "Insufficient chunks: need {}, have {}",
 +                    self.config.data_chunks,
 +                    request.available_chunks.len()
 +                )),
 +                verification_passed: false,
 +            });
 +        }
++
 +        let data_chunks = self.config.data_chunks as usize;
 +        let chunk_size = request.available_chunks[0].data.len();
++
 +        // Build decoding matrix
 +        let available_indices: Vec<usize> = request.available_chunks
 +            .iter()
 +            .map(|chunk| chunk.chunk_index as usize)
 +            .collect();
++
 +        let decoding_matrix = self.get_or_build_decoding_matrix(&available_indices)?;
++
 +        // Reconstruct missing data
 +        let mut reconstructed_data = vec![vec![0u8; chunk_size]; data_chunks];
++
 +        // Copy available data chunks
 +        for chunk in &request.available_chunks {
 +            let idx = chunk.chunk_index as usize;
 +            if idx < data_chunks {
 +                reconstructed_data[idx] = chunk.data.clone();
 +            }
 +        }
++
 +        // Reconstruct missing data chunks
 +        for missing_idx in &request.missing_chunk_indices {
 +            let missing_idx = *missing_idx as usize;
 +            if missing_idx >= data_chunks {
 +                continue; // Skip parity chunks for now
 +            }
++
 +            let mut reconstructed_chunk = vec![0u8; chunk_size];
++
 +            for byte_pos in 0..chunk_size {
 +                let mut reconstructed_byte = 0u8;
++
 +                for (matrix_col, chunk) in request.available_chunks.iter().enumerate().take(data_chunks) {
 +                    let coeff = decoding_matrix[missing_idx][matrix_col];
 +                    let data_byte = chunk.data[byte_pos];
 +                    reconstructed_byte ^= self.galois_field.multiply(data_byte, coeff);
 +                }
++
 +                reconstructed_chunk[byte_pos] = reconstructed_byte;
 +            }
++
 +            reconstructed_data[missing_idx] = reconstructed_chunk;
 +        }
++
 +        // Create reconstructed chunk objects
 +        let mut reconstructed_chunks = Vec::new();
 +        for missing_idx in &request.missing_chunk_indices {
 +            let idx = *missing_idx as usize;
 +            if idx < data_chunks {
 +                reconstructed_chunks.push(EncodedChunk {
 +                    chunk_id: format!("{}_{}", request.original_chunk_id, idx),
 +                    chunk_index: idx as u32,
 +                    chunk_type: ChunkType::Data,
 +                    data: reconstructed_data[idx].clone(),
 +                    metadata: ChunkMetadata {
 +                        original_size: chunk_size,
 +                        checksum: self.calculate_checksum(&reconstructed_data[idx]),
 +                        encoding_config: self.config.clone(),
 +                        chunk_position: idx as u32,
 +                        total_chunks: (self.config.data_chunks + self.config.parity_chunks),
 +                    },
 +                    created_at: Utc::now(),
 +                });
 +            }
 +        }
++
 +        // Verify reconstruction
 +        let verification_passed = self.verify_reconstruction(&reconstructed_chunks)?;
++
 +        Ok(ReconstructionResult {
 +            success: true,
 +            reconstructed_chunks,
 +            reconstruction_time_ms: start_time.elapsed().as_millis() as u64,
 +            error_message: None,
 +            verification_passed,
 +        })
 +    }
++
 +    /// Get or build decoding matrix for given available chunks
 +    fn get_or_build_decoding_matrix(&mut self, available_indices: &[usize]) -> Result<Vec<Vec<u8>>> {
 +        // Check cache first
 +        if let Some(cached_matrix) = self.decoding_cache.get(available_indices) {
 +            return Ok(cached_matrix.clone());
 +        }
++
 +        let data_chunks = self.config.data_chunks as usize;
++
 +        // Build submatrix from encoding matrix using available chunks
 +        let mut submatrix = Vec::with_capacity(data_chunks);
 +        for &idx in available_indices.iter().take(data_chunks) {
 +            submatrix.push(self.encoding_matrix[idx].clone());
 +        }
++
 +        // Invert the submatrix
 +        let decoding_matrix = self.invert_matrix(submatrix)?;
++
 +        // Cache the result
 +        self.decoding_cache.insert(available_indices.to_vec(), decoding_matrix.clone());
++
 +        Ok(decoding_matrix)
 +    }
++
 +    /// Invert a matrix in Galois field
 +    fn invert_matrix(&self, mut matrix: Vec<Vec<u8>>) -> Result<Vec<Vec<u8>>> {
 +        let n = matrix.len();
++
 +        // Create augmented matrix [A|I]
 +        let mut augmented = Vec::with_capacity(n);
 +        for i in 0..n {
 +            let mut row = matrix[i].clone();
 +            for j in 0..n {
 +                row.push(if i == j { 1 } else { 0 });
 +            }
 +            augmented.push(row);
 +        }
++
 +        // Gaussian elimination
 +        for i in 0..n {
 +            // Find pivot
 +            let mut pivot_row = i;
 +            for j in (i + 1)..n {
 +                if augmented[j][i] != 0 {
 +                    pivot_row = j;
 +                    break;
 +                }
 +            }
++
 +            if augmented[pivot_row][i] == 0 {
 +                return Err(anyhow::anyhow!("Matrix is not invertible"));
 +            }
++
 +            // Swap rows if needed
 +            if pivot_row != i {
 +                augmented.swap(i, pivot_row);
 +            }
++
 +            // Scale pivot row
 +            let pivot = augmented[i][i];
 +            for j in 0..(2 * n) {
 +                augmented[i][j] = self.galois_field.divide(augmented[i][j], pivot);
 +            }
++
 +            // Eliminate column
 +            for j in 0..n {
 +                if i != j && augmented[j][i] != 0 {
 +                    let factor = augmented[j][i];
 +                    for k in 0..(2 * n) {
 +                        let product = self.galois_field.multiply(factor, augmented[i][k]);
 +                        augmented[j][k] ^= product;
 +                    }
 +                }
 +            }
 +        }
++
 +        // Extract inverse matrix
 +        let mut inverse = Vec::with_capacity(n);
 +        for i in 0..n {
 +            inverse.push(augmented[i][n..].to_vec());
 +        }
++
 +        Ok(inverse)
 +    }
++
 +    /// Calculate checksum for data
 +    fn calculate_checksum(&self, data: &[u8]) -> String {
 +        // Simple checksum - in production would use cryptographic hash
 +        let sum: u32 = data.iter().map(|&b| b as u32).sum();
 +        format!("{:08x}", sum)
 +    }
++
 +    /// Verify reconstruction correctness
 +    fn verify_reconstruction(&self, chunks: &[EncodedChunk]) -> Result<bool> {
 +        // Verify checksums
 +        for chunk in chunks {
 +            let calculated_checksum = self.calculate_checksum(&chunk.data);
 +            if calculated_checksum != chunk.metadata.checksum {
 +                return Ok(false);
 +            }
 +        }
++
 +        // Additional verification could include re-encoding and comparing
 +        Ok(true)
 +    }
++
 +    /// Get redundancy schemes available
 +    pub fn get_available_schemes() -> Vec<ReedSolomonConfig> {
 +        vec![
 +            // Standard schemes
 +            ReedSolomonConfig {
 +                data_chunks: 3,
 +                parity_chunks: 2,
 +                chunk_size: 1024 * 1024,
 +                field_size: 256,
 +                primitive_poly: 0x11d,
 +            },
 +            ReedSolomonConfig {
 +                data_chunks: 6,
 +                parity_chunks: 3,
 +                chunk_size: 1024 * 1024,
 +                field_size: 256,
 +                primitive_poly: 0x11d,
 +            },
 +            ReedSolomonConfig {
 +                data_chunks: 10,
 +                parity_chunks: 4,
 +                chunk_size: 1024 * 1024,
 +                field_size: 256,
 +                primitive_poly: 0x11d,
 +            },
 +            // High redundancy for critical data
 +            ReedSolomonConfig {
 +                data_chunks: 8,
 +                parity_chunks: 6,
 +                chunk_size: 1024 * 1024,
 +                field_size: 256,
 +                primitive_poly: 0x11d,
 +            },
 +        ]
 +    }
++
 +    /// Calculate storage efficiency for a scheme
 +    pub fn calculate_storage_efficiency(&self) -> f64 {
 +        self.config.data_chunks as f64 / (self.config.data_chunks + self.config.parity_chunks) as f64
 +    }
++
 +    /// Calculate fault tolerance
 +    pub fn calculate_fault_tolerance(&self) -> u32 {
 +        self.config.parity_chunks
 +    }
++
 +    /// Estimate reconstruction performance
 +    pub fn estimate_reconstruction_time(&self, chunk_size_mb: f64, available_bandwidth_mbps: f64) -> f64 {
 +        let data_to_transfer = chunk_size_mb * self.config.data_chunks as f64;
 +        let transfer_time = data_to_transfer / available_bandwidth_mbps;
 +        let computation_time = chunk_size_mb * 0.1; // Estimate 0.1 seconds per MB for computation
++
 +        transfer_time + computation_time
 +    }
 +}
++
 +/// Reed-Solomon manager for handling multiple coding schemes
 +#[derive(Debug)]
 +pub struct ReedSolomonManager {
 +    pub codecs: HashMap<String, ReedSolomonCodec>,
 +    pub default_scheme: String,
 +}
++
 +impl ReedSolomonManager {
 +    /// Create new Reed-Solomon manager with multiple schemes
 +    pub fn new() -> Result<Self> {
 +        let mut manager = Self {
 +            codecs: HashMap::new(),
 +            default_scheme: "6+3".to_string(),
 +        };
++
 +        // Initialize standard schemes
 +        let schemes = [
 +            ("3+2", ReedSolomonConfig { data_chunks: 3, parity_chunks: 2, ..Default::default() }),
 +            ("6+3", ReedSolomonConfig { data_chunks: 6, parity_chunks: 3, ..Default::default() }),
 +            ("10+4", ReedSolomonConfig { data_chunks: 10, parity_chunks: 4, ..Default::default() }),
 +            ("8+6", ReedSolomonConfig { data_chunks: 8, parity_chunks: 6, ..Default::default() }),
 +        ];
++
 +        for (name, config) in schemes {
 +            let codec = ReedSolomonCodec::new(config)?;
 +            manager.codecs.insert(name.to_string(), codec);
 +        }
++
 +        Ok(manager)
 +    }
++
 +    /// Get codec for scheme
 +    pub fn get_codec(&mut self, scheme: &str) -> Result<&mut ReedSolomonCodec> {
 +        self.codecs.get_mut(scheme)
 +            .ok_or_else(|| anyhow::anyhow!("Reed-Solomon scheme '{}' not found", scheme))
 +    }
++
 +    /// Recommend scheme based on requirements
 +    pub fn recommend_scheme(&self, durability_requirement: f64, cost_sensitivity: f64) -> String {
 +        if durability_requirement > 0.99999 {
 +            "8+6".to_string() // Ultra high durability
 +        } else if durability_requirement > 0.9999 {
 +            "10+4".to_string() // High durability
 +        } else if cost_sensitivity > 0.7 {
 +            "3+2".to_string() // Cost sensitive
 +        } else {
 +            "6+3".to_string() // Balanced
 +        }
 +    }
++
 +    /// Get scheme performance characteristics
 +    pub fn get_scheme_info(&self, scheme: &str) -> Option<SchemeInfo> {
 +        self.codecs.get(scheme).map(|codec| {
 +            SchemeInfo {
 +                name: scheme.to_string(),
 +                data_chunks: codec.config.data_chunks,
 +                parity_chunks: codec.config.parity_chunks,
 +                storage_efficiency: codec.calculate_storage_efficiency(),
 +                fault_tolerance: codec.calculate_fault_tolerance(),
 +                reconstruction_complexity: (codec.config.data_chunks * codec.config.parity_chunks) as f64,
 +            }
 +        })
 +    }
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct SchemeInfo {
 +    pub name: String,
 +    pub data_chunks: u32,
 +    pub parity_chunks: u32,
 +    pub storage_efficiency: f64,
 +    pub fault_tolerance: u32,
 +    pub reconstruction_complexity: f64,
 +}
++
 +#[cfg(test)]
 +mod tests {
 +    use super::*;
++
 +    #[test]
 +    fn test_galois_field_arithmetic() {
 +        let gf = GaloisField::new();
++
 +        // Test basic properties
 +        assert_eq!(gf.multiply(0, 5), 0);
 +        assert_eq!(gf.multiply(1, 5), 5);
 +        assert_eq!(gf.divide(10, 2), gf.multiply(10, gf.divide(1, 2)));
++
 +        // Test multiplicative inverse
 +        for i in 1..=255u8 {
 +            let inverse = gf.divide(1, i);
 +            assert_eq!(gf.multiply(i, inverse), 1);
 +        }
 +    }
++
 +    #[test]
 +    fn test_reed_solomon_codec_creation() {
 +        let config = ReedSolomonConfig::default();
 +        let codec = ReedSolomonCodec::new(config).unwrap();
++
 +        assert_eq!(codec.config.data_chunks, 6);
 +        assert_eq!(codec.config.parity_chunks, 3);
 +        assert_eq!(codec.encoding_matrix.len(), 9);
 +    }
++
 +    #[test]
 +    fn test_encoding_and_reconstruction() {
 +        let config = ReedSolomonConfig {
 +            data_chunks: 3,
 +            parity_chunks: 2,
 +            chunk_size: 1024,
 +            ..Default::default()
 +        };
++
 +        let mut codec = ReedSolomonCodec::new(config).unwrap();
++
 +        // Test data
 +        let test_data = b"Hello, Reed-Solomon World! This is a test of error correction.".to_vec();
++
 +        // Encode
 +        let chunks = codec.encode("test_chunk".to_string(), &test_data).unwrap();
 +        assert_eq!(chunks.len(), 5); // 3 data + 2 parity
++
 +        // Simulate losing 2 chunks (within error correction capability)
 +        let available_chunks = vec![chunks[0].clone(), chunks[2].clone(), chunks[4].clone()];
 +        let missing_indices = vec![1, 3];
++
 +        // Reconstruct
 +        let request = ReconstructionRequest {
 +            original_chunk_id: "test_chunk".to_string(),
 +            available_chunks,
 +            missing_chunk_indices: missing_indices,
 +            target_chunk_size: 1024,
 +        };
++
 +        let result = codec.decode(request).unwrap();
 +        assert!(result.success);
 +        assert_eq!(result.reconstructed_chunks.len(), 2);
 +        assert!(result.verification_passed);
 +    }
++
 +    #[test]
 +    fn test_manager_scheme_recommendation() {
 +        let manager = ReedSolomonManager::new().unwrap();
++
 +        // High durability requirement
 +        assert_eq!(manager.recommend_scheme(0.99999, 0.3), "8+6");
++
 +        // Cost sensitive
 +        assert_eq!(manager.recommend_scheme(0.999, 0.8), "3+2");
++
 +        // Balanced
 +        assert_eq!(manager.recommend_scheme(0.999, 0.3), "6+3");
 +    }
++
 +    #[test]
 +    fn test_storage_efficiency_calculation() {
 +        let config = ReedSolomonConfig {
 +            data_chunks: 6,
 +            parity_chunks: 3,
 +            ..Default::default()
 +        };
++
 +        let codec = ReedSolomonCodec::new(config).unwrap();
 +        let efficiency = codec.calculate_storage_efficiency();
++
 +        assert!((efficiency - 0.6667).abs() < 0.01); // 6/9 ≈ 0.6667
 +    }
 +}

src/redundancy/reputation_system.rsadded

 +//! Node Reliability Reputation System
 +//!
 +//! Tracks and scores node reliability based on historical performance
++
 +use serde::{Deserialize, Serialize};
 +use std::collections::HashMap;
 +use tokio::time::{Duration, Instant};
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct NodeReputation {
 +    pub node_id: String,
 +    pub overall_score: f32, // 0.0 to 1.0
 +    pub reliability_metrics: ReliabilityMetrics,
 +    pub performance_metrics: PerformanceMetrics,
 +    pub historical_events: Vec<ReputationEvent>,
 +    pub reputation_trend: ReputationTrend,
 +    pub last_updated: Instant,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ReliabilityMetrics {
 +    pub uptime_score: f32,
 +    pub data_integrity_score: f32,
 +    pub response_consistency: f32,
 +    pub failure_recovery_time: Duration,
 +    pub consecutive_failures: u32,
 +    pub mean_time_between_failures: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct PerformanceMetrics {
 +    pub average_latency: Duration,
 +    pub throughput_score: f32,
 +    pub storage_efficiency: f32,
 +    pub bandwidth_utilization: f32,
 +    pub resource_stability: f32,
 +    pub load_handling_capacity: f32,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ReputationEvent {
 +    pub timestamp: Instant,
 +    pub event_type: EventType,
 +    pub impact: f32, // -1.0 to +1.0
 +    pub details: String,
 +    pub severity: EventSeverity,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum EventType {
 +    NodeFailure,
 +    DataCorruption,
 +    SlowResponse,
 +    ExceptionalPerformance,
 +    SuccessfulRecovery,
 +    MaintenanceCompleted,
 +    SecurityIncident,
 +    NetworkContribution,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum EventSeverity {
 +    Critical,    // -0.2 to -1.0
 +    Major,       // -0.1 to -0.2
 +    Minor,       // -0.05 to -0.1
 +    Neutral,     // -0.05 to +0.05
 +    Positive,    // +0.05 to +0.1
 +    Exceptional, // +0.1 to +0.2
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub struct ReputationTrend {
 +    pub direction: TrendDirection,
 +    pub slope: f32,
 +    pub confidence: f32,
 +    pub time_window: Duration,
 +}
++
 +#[derive(Debug, Clone, Serialize, Deserialize)]
 +pub enum TrendDirection {
 +    StronglyImproving,
 +    Improving,
 +    Stable,
 +    Declining,
 +    StronglyDeclining,
 +}
++
 +pub struct ReputationManager {
 +    node_reputations: HashMap<String, NodeReputation>,
 +    reputation_weights: ReputationWeights,
 +    historical_data: HashMap<String, Vec<PerformanceSnapshot>>,
 +    global_network_stats: NetworkStats,
 +}
++
 +#[derive(Debug, Clone)]
 +struct ReputationWeights {
 +    uptime: f32,
 +    data_integrity: f32,
 +    performance: f32,
 +    recovery_ability: f32,
 +    consistency: f32,
 +    network_contribution: f32,
 +}
++
 +#[derive(Debug, Clone)]
 +struct PerformanceSnapshot {
 +    timestamp: Instant,
 +    metrics: PerformanceMetrics,
 +    events: Vec<ReputationEvent>,
 +}
++
 +#[derive(Debug, Clone)]
 +struct NetworkStats {
 +    average_uptime: f32,
 +    median_latency: Duration,
 +    total_nodes: usize,
 +    healthy_nodes: usize,
 +    network_quality_score: f32,
 +}
++
 +impl ReputationManager {
 +    pub fn new() -> Self {
 +        Self {
 +            node_reputations: HashMap::new(),
 +            reputation_weights: ReputationWeights::default(),
 +            historical_data: HashMap::new(),
 +            global_network_stats: NetworkStats::default(),
 +        }
 +    }
++
 +    pub async fn update_node_performance(&mut self, node_id: &str, metrics: PerformanceMetrics) {
 +        let snapshot = PerformanceSnapshot {
 +            timestamp: Instant::now(),
 +            metrics,
 +            events: Vec::new(),
 +        };
++
 +        let history = self.historical_data.entry(node_id.to_string()).or_insert_with(Vec::new);
 +        history.push(snapshot);
++
 +        // Keep only last 30 days of data
 +        let cutoff = Instant::now() - Duration::from_secs(30 * 24 * 3600);
 +        history.retain(|s| s.timestamp > cutoff);
++
 +        // Update reputation based on new performance data
 +        self.recalculate_reputation(node_id).await;
 +    }
++
 +    pub async fn record_event(&mut self, node_id: &str, event: ReputationEvent) {
 +        // Add event to historical data
 +        if let Some(history) = self.historical_data.get_mut(node_id) {
 +            if let Some(latest) = history.last_mut() {
 +                latest.events.push(event.clone());
 +            }
 +        }
++
 +        // Update reputation immediately for significant events
 +        if matches!(event.severity, EventSeverity::Critical | EventSeverity::Exceptional) {
 +            self.apply_immediate_reputation_change(node_id, &event).await;
 +        }
++
 +        self.recalculate_reputation(node_id).await;
 +    }
++
 +    pub fn get_node_reputation(&self, node_id: &str) -> Option<&NodeReputation> {
 +        self.node_reputations.get(node_id)
 +    }
++
 +    pub fn get_top_nodes(&self, limit: usize) -> Vec<&NodeReputation> {
 +        let mut nodes: Vec<_> = self.node_reputations.values().collect();
 +        nodes.sort_by(|a, b| b.overall_score.partial_cmp(&a.overall_score).unwrap());
 +        nodes.into_iter().take(limit).collect()
 +    }
++
 +    pub fn get_nodes_by_reputation_range(&self, min_score: f32, max_score: f32) -> Vec<&NodeReputation> {
 +        self.node_reputations.values()
 +            .filter(|rep| rep.overall_score >= min_score && rep.overall_score <= max_score)
 +            .collect()
 +    }
++
 +    pub async fn get_recommended_nodes_for_storage(&self, count: usize) -> Vec<String> {
 +        let mut candidates: Vec<_> = self.node_reputations.iter()
 +            .filter(|(_, rep)| {
 +                rep.overall_score > 0.7
 +                && rep.reliability_metrics.uptime_score > 0.8
 +                && rep.reliability_metrics.consecutive_failures < 3
 +            })
 +            .collect();
++
 +        // Sort by composite score (reputation + recent performance)
 +        candidates.sort_by(|a, b| {
 +            let score_a = self.calculate_storage_suitability_score(a.1);
 +            let score_b = self.calculate_storage_suitability_score(b.1);
 +            score_b.partial_cmp(&score_a).unwrap()
 +        });
++
 +        candidates.into_iter()
 +            .take(count)
 +            .map(|(node_id, _)| node_id.clone())
 +            .collect()
 +    }
++
 +    async fn recalculate_reputation(&mut self, node_id: &str) {
 +        let history = match self.historical_data.get(node_id) {
 +            Some(h) => h,
 +            None => return,
 +        };
++
 +        if history.is_empty() {
 +            return;
 +        }
++
 +        let reliability_metrics = self.calculate_reliability_metrics(history);
 +        let performance_metrics = self.calculate_average_performance(history);
 +        let overall_score = self.calculate_overall_score(&reliability_metrics, &performance_metrics, history);
 +        let trend = self.calculate_reputation_trend(history);
++
 +        let reputation = NodeReputation {
 +            node_id: node_id.to_string(),
 +            overall_score,
 +            reliability_metrics,
 +            performance_metrics,
 +            historical_events: self.get_recent_events(history, Duration::from_secs(7 * 24 * 3600)),
 +            reputation_trend: trend,
 +            last_updated: Instant::now(),
 +        };
++
 +        self.node_reputations.insert(node_id.to_string(), reputation);
 +    }
++
 +    fn calculate_reliability_metrics(&self, history: &[PerformanceSnapshot]) -> ReliabilityMetrics {
 +        let total_snapshots = history.len() as f32;
 +        if total_snapshots == 0.0 {
 +            return ReliabilityMetrics::default();
 +        }
++
 +        // Calculate uptime score based on performance consistency
 +        let uptime_score = history.iter()
 +            .map(|s| if s.metrics.average_latency < Duration::from_millis(1000) { 1.0 } else { 0.0 })
 +            .sum::<f32>() / total_snapshots;
++
 +        // Data integrity score based on lack of corruption events
 +        let corruption_events = history.iter()
 +            .flat_map(|s| &s.events)
 +            .filter(|e| matches!(e.event_type, EventType::DataCorruption))
 +            .count();
 +        let data_integrity_score = 1.0 - (corruption_events as f32 * 0.1).min(1.0);
++
 +        // Response consistency
 +        let latencies: Vec<_> = history.iter()
 +            .map(|s| s.metrics.average_latency.as_millis() as f32)
 +            .collect();
 +        let latency_variance = self.calculate_variance(&latencies);
 +        let response_consistency = 1.0 / (1.0 + latency_variance / 1000.0);
++
 +        // Failure analysis
 +        let failure_events: Vec<_> = history.iter()
 +            .flat_map(|s| &s.events)
 +            .filter(|e| matches!(e.event_type, EventType::NodeFailure))
 +            .collect();
++
 +        let consecutive_failures = self.count_consecutive_failures(&failure_events);
 +        let mean_time_between_failures = if failure_events.len() > 1 {
 +            let first = failure_events.first().unwrap().timestamp;
 +            let last = failure_events.last().unwrap().timestamp;
 +            (last - first) / failure_events.len() as u32
 +        } else {
 +            Duration::from_secs(u64::MAX)
 +        };
++
 +        let failure_recovery_time = failure_events.iter()
 +            .filter_map(|_| Some(Duration::from_secs(300))) // Average 5 minutes
 +            .next()
 +            .unwrap_or(Duration::from_secs(0));
++
 +        ReliabilityMetrics {
 +            uptime_score,
 +            data_integrity_score,
 +            response_consistency,
 +            failure_recovery_time,
 +            consecutive_failures,
 +            mean_time_between_failures,
 +        }
 +    }
++
 +    fn calculate_average_performance(&self, history: &[PerformanceSnapshot]) -> PerformanceMetrics {
 +        if history.is_empty() {
 +            return PerformanceMetrics::default();
 +        }
++
 +        let count = history.len() as f32;
++
 +        let average_latency = Duration::from_millis(
 +            (history.iter().map(|s| s.metrics.average_latency.as_millis()).sum::<u128>() / count as u128) as u64
 +        );
++
 +        let throughput_score = history.iter().map(|s| s.metrics.throughput_score).sum::<f32>() / count;
 +        let storage_efficiency = history.iter().map(|s| s.metrics.storage_efficiency).sum::<f32>() / count;
 +        let bandwidth_utilization = history.iter().map(|s| s.metrics.bandwidth_utilization).sum::<f32>() / count;
 +        let resource_stability = history.iter().map(|s| s.metrics.resource_stability).sum::<f32>() / count;
 +        let load_handling_capacity = history.iter().map(|s| s.metrics.load_handling_capacity).sum::<f32>() / count;
++
 +        PerformanceMetrics {
 +            average_latency,
 +            throughput_score,
 +            storage_efficiency,
 +            bandwidth_utilization,
 +            resource_stability,
 +            load_handling_capacity,
 +        }
 +    }
++
 +    fn calculate_overall_score(
 +        &self,
 +        reliability: &ReliabilityMetrics,
 +        performance: &PerformanceMetrics,
 +        history: &[PerformanceSnapshot],
 +    ) -> f32 {
 +        let weights = &self.reputation_weights;
++
 +        let reliability_score = (
 +            reliability.uptime_score * weights.uptime +
 +            reliability.data_integrity_score * weights.data_integrity +
 +            reliability.response_consistency * weights.consistency
 +        ) / (weights.uptime + weights.data_integrity + weights.consistency);
++
 +        let performance_score = (
 +            performance.throughput_score * 0.3 +
 +            performance.storage_efficiency * 0.2 +
 +            performance.resource_stability * 0.3 +
 +            performance.load_handling_capacity * 0.2
 +        );
++
 +        // Factor in recent events
 +        let recent_events_impact = self.calculate_recent_events_impact(history);
++
 +        let base_score = reliability_score * 0.6 + performance_score * 0.4;
 +        let final_score = (base_score + recent_events_impact).max(0.0).min(1.0);
++
 +        final_score
 +    }
++
 +    fn calculate_recent_events_impact(&self, history: &[PerformanceSnapshot]) -> f32 {
 +        let cutoff = Instant::now() - Duration::from_secs(7 * 24 * 3600); // Last 7 days
++
 +        let recent_events: Vec<_> = history.iter()
 +            .flat_map(|s| &s.events)
 +            .filter(|e| e.timestamp > cutoff)
 +            .collect();
++
 +        if recent_events.is_empty() {
 +            return 0.0;
 +        }
++
 +        let total_impact: f32 = recent_events.iter().map(|e| e.impact).sum();
 +        let time_decay_factor = 0.8; // Recent events have more impact
++
 +        (total_impact / recent_events.len() as f32) * time_decay_factor
 +    }
++
 +    fn calculate_reputation_trend(&self, history: &[PerformanceSnapshot]) -> ReputationTrend {
 +        if history.len() < 5 {
 +            return ReputationTrend::default();
 +        }
++
 +        // Calculate reputation scores over time
 +        let window_size = 10;
 +        let mut scores = Vec::new();
++
 +        for window_start in 0..history.len().saturating_sub(window_size) {
 +            let window = &history[window_start..window_start + window_size];
 +            let reliability = self.calculate_reliability_metrics(window);
 +            let performance = self.calculate_average_performance(window);
 +            let score = self.calculate_overall_score(&reliability, &performance, window);
 +            scores.push(score);
 +        }
++
 +        if scores.len() < 2 {
 +            return ReputationTrend::default();
 +        }
++
 +        // Calculate linear regression slope
 +        let n = scores.len() as f32;
 +        let sum_x: f32 = (0..scores.len()).map(|i| i as f32).sum();
 +        let sum_y: f32 = scores.iter().sum();
 +        let sum_xy: f32 = scores.iter().enumerate().map(|(i, &y)| i as f32 * y).sum();
 +        let sum_x2: f32 = (0..scores.len()).map(|i| (i as f32).powi(2)).sum();
++
 +        let slope = (n * sum_xy - sum_x * sum_y) / (n * sum_x2 - sum_x.powi(2));
++
 +        let direction = if slope > 0.05 {
 +            TrendDirection::StronglyImproving
 +        } else if slope > 0.02 {
 +            TrendDirection::Improving
 +        } else if slope > -0.02 {
 +            TrendDirection::Stable
 +        } else if slope > -0.05 {
 +            TrendDirection::Declining
 +        } else {
 +            TrendDirection::StronglyDeclining
 +        };
++
 +        // Calculate confidence based on variance
 +        let mean_score = scores.iter().sum::<f32>() / n;
 +        let variance = scores.iter().map(|&s| (s - mean_score).powi(2)).sum::<f32>() / n;
 +        let confidence = 1.0 / (1.0 + variance * 10.0);
++
 +        ReputationTrend {
 +            direction,
 +            slope,
 +            confidence,
 +            time_window: Duration::from_secs(24 * 3600 * scores.len() as u64),
 +        }
 +    }
++
 +    fn calculate_storage_suitability_score(&self, reputation: &NodeReputation) -> f32 {
 +        let base_score = reputation.overall_score;
 +        let reliability_bonus = if reputation.reliability_metrics.consecutive_failures == 0 { 0.1 } else { 0.0 };
 +        let performance_bonus = if reputation.performance_metrics.average_latency < Duration::from_millis(500) { 0.05 } else { 0.0 };
 +        let trend_bonus = match reputation.reputation_trend.direction {
 +            TrendDirection::StronglyImproving | TrendDirection::Improving => 0.05,
 +            TrendDirection::Declining | TrendDirection::StronglyDeclining => -0.1,
 +            _ => 0.0,
 +        };
++
 +        base_score + reliability_bonus + performance_bonus + trend_bonus
 +    }
++
 +    async fn apply_immediate_reputation_change(&mut self, node_id: &str, event: &ReputationEvent) {
 +        if let Some(reputation) = self.node_reputations.get_mut(node_id) {
 +            let change = match event.severity {
 +                EventSeverity::Critical => -0.2,
 +                EventSeverity::Major => -0.1,
 +                EventSeverity::Minor => -0.05,
 +                EventSeverity::Positive => 0.05,
 +                EventSeverity::Exceptional => 0.1,
 +                EventSeverity::Neutral => 0.0,
 +            };
++
 +            reputation.overall_score = (reputation.overall_score + change).max(0.0).min(1.0);
 +        }
 +    }
++
 +    fn get_recent_events(&self, history: &[PerformanceSnapshot], window: Duration) -> Vec<ReputationEvent> {
 +        let cutoff = Instant::now() - window;
 +        history.iter()
 +            .flat_map(|s| &s.events)
 +            .filter(|e| e.timestamp > cutoff)
 +            .cloned()
 +            .collect()
 +    }
++
 +    fn count_consecutive_failures(&self, events: &[&ReputationEvent]) -> u32 {
 +        let mut consecutive = 0;
 +        let mut max_consecutive = 0;
++
 +        for event in events.iter().rev() {
 +            if matches!(event.event_type, EventType::NodeFailure) {
 +                consecutive += 1;
 +                max_consecutive = max_consecutive.max(consecutive);
 +            } else {
 +                consecutive = 0;
 +            }
 +        }
++
 +        max_consecutive
 +    }
++
 +    fn calculate_variance(&self, values: &[f32]) -> f32 {
 +        if values.is_empty() {
 +            return 0.0;
 +        }
++
 +        let mean = values.iter().sum::<f32>() / values.len() as f32;
 +        values.iter().map(|&x| (x - mean).powi(2)).sum::<f32>() / values.len() as f32
 +    }
 +}
++
 +impl Default for ReputationWeights {
 +    fn default() -> Self {
 +        Self {
 +            uptime: 0.3,
 +            data_integrity: 0.25,
 +            performance: 0.2,
 +            recovery_ability: 0.1,
 +            consistency: 0.1,
 +            network_contribution: 0.05,
 +        }
 +    }
 +}
++
 +impl Default for ReliabilityMetrics {
 +    fn default() -> Self {
 +        Self {
 +            uptime_score: 0.5,
 +            data_integrity_score: 1.0,
 +            response_consistency: 0.5,
 +            failure_recovery_time: Duration::from_secs(300),
 +            consecutive_failures: 0,
 +            mean_time_between_failures: Duration::from_secs(u64::MAX),
 +        }
 +    }
 +}
++
 +impl Default for PerformanceMetrics {
 +    fn default() -> Self {
 +        Self {
 +            average_latency: Duration::from_millis(500),
 +            throughput_score: 0.5,
 +            storage_efficiency: 0.5,
 +            bandwidth_utilization: 0.5,
 +            resource_stability: 0.5,
 +            load_handling_capacity: 0.5,
 +        }
 +    }
 +}
++
 +impl Default for ReputationTrend {
 +    fn default() -> Self {
 +        Self {
 +            direction: TrendDirection::Stable,
 +            slope: 0.0,
 +            confidence: 0.5,
 +            time_window: Duration::from_secs(7 * 24 * 3600),
 +        }
 +    }
 +}
++
 +impl Default for NetworkStats {
 +    fn default() -> Self {
 +        Self {
 +            average_uptime: 0.95,
 +            median_latency: Duration::from_millis(200),
 +            total_nodes: 0,
 +            healthy_nodes: 0,
 +            network_quality_score: 0.8,
 +        }
 +    }
 +}