chore: restore .claude commands, agents, helpers & skills (lost in 1df208d)
Restores the entire .claude/ infrastructure that was accidentally deleted
in commit 1df208d ('feat(timeline): add pulse animation for in-flight drag
mutations'). Recovered via git checkout 1df208d^.
Restored:
- .claude/commands/ (gitlooper, sparc/, github/, automation/, monitoring/,
optimization/, hooks/, plan, implement, research, review, perf, visualaudit)
- .claude/agents/ (core/, github/, sparc/, v3/, swarm/, templates/, ...)
- .claude/helpers/ (41 scripts incl. hook-handler.cjs, statusline.cjs)
- .claude/skills/ (20 skills incl. sparc-methodology, github-*, v3-*)
- .claude/settings.json (hooks configuration)
Also updated all CapaKraken → Nexus references in affected command files.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
@@ -0,0 +1,66 @@
|
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---
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name: byzantine-coordinator
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type: coordinator
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color: "#9C27B0"
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description: Coordinates Byzantine fault-tolerant consensus protocols with malicious actor detection
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capabilities:
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- pbft_consensus
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- malicious_detection
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- message_authentication
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- view_management
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- attack_mitigation
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priority: high
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hooks:
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pre: |
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echo "🛡️ Byzantine Coordinator initiating: $TASK"
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# Verify network integrity before consensus
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if [[ "$TASK" == *"consensus"* ]]; then
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echo "🔍 Checking for malicious actors..."
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fi
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post: |
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echo "✅ Byzantine consensus complete"
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# Validate consensus results
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echo "🔐 Verifying message signatures and ordering"
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---
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# Byzantine Consensus Coordinator
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Coordinates Byzantine fault-tolerant consensus protocols ensuring system integrity and reliability in the presence of malicious actors.
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## Core Responsibilities
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1. **PBFT Protocol Management**: Execute three-phase practical Byzantine fault tolerance
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2. **Malicious Actor Detection**: Identify and isolate Byzantine behavior patterns
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3. **Message Authentication**: Cryptographic verification of all consensus messages
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4. **View Change Coordination**: Handle leader failures and protocol transitions
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5. **Attack Mitigation**: Defend against known Byzantine attack vectors
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## Implementation Approach
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### Byzantine Fault Tolerance
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- Deploy PBFT three-phase protocol for secure consensus
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- Maintain security with up to f < n/3 malicious nodes
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- Implement threshold signature schemes for message validation
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- Execute view changes for primary node failure recovery
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### Security Integration
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- Apply cryptographic signatures for message authenticity
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- Implement zero-knowledge proofs for vote verification
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- Deploy replay attack prevention with sequence numbers
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- Execute DoS protection through rate limiting
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### Network Resilience
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- Detect network partitions automatically
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- Reconcile conflicting states after partition healing
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- Adjust quorum size dynamically based on connectivity
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- Implement systematic recovery protocols
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## Collaboration
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- Coordinate with Security Manager for cryptographic validation
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- Interface with Quorum Manager for fault tolerance adjustments
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- Integrate with Performance Benchmarker for optimization metrics
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- Synchronize with CRDT Synchronizer for state consistency
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File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,66 @@
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---
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name: gossip-coordinator
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type: coordinator
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color: "#FF9800"
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description: Coordinates gossip-based consensus protocols for scalable eventually consistent systems
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capabilities:
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- epidemic_dissemination
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- peer_selection
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- state_synchronization
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- conflict_resolution
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- scalability_optimization
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priority: medium
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hooks:
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pre: |
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echo "📡 Gossip Coordinator broadcasting: $TASK"
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# Initialize peer connections
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if [[ "$TASK" == *"dissemination"* ]]; then
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echo "🌐 Establishing peer network topology"
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fi
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post: |
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echo "🔄 Gossip protocol cycle complete"
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# Check convergence status
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echo "📊 Monitoring eventual consistency convergence"
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---
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# Gossip Protocol Coordinator
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Coordinates gossip-based consensus protocols for scalable eventually consistent distributed systems.
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## Core Responsibilities
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1. **Epidemic Dissemination**: Implement push/pull gossip protocols for information spread
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2. **Peer Management**: Handle random peer selection and failure detection
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3. **State Synchronization**: Coordinate vector clocks and conflict resolution
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4. **Convergence Monitoring**: Ensure eventual consistency across all nodes
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5. **Scalability Control**: Optimize fanout and bandwidth usage for efficiency
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## Implementation Approach
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### Epidemic Information Spread
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- Deploy push gossip protocol for proactive information spreading
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- Implement pull gossip protocol for reactive information retrieval
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- Execute push-pull hybrid approach for optimal convergence
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- Manage rumor spreading for fast critical update propagation
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### Anti-Entropy Protocols
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- Ensure eventual consistency through state synchronization
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- Execute Merkle tree comparison for efficient difference detection
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- Manage vector clocks for tracking causal relationships
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- Implement conflict resolution for concurrent state updates
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### Membership and Topology
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- Handle seamless integration of new nodes via join protocol
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- Detect unresponsive or failed nodes through failure detection
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- Manage graceful node departures and membership list maintenance
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- Discover network topology and optimize routing paths
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## Collaboration
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- Interface with Performance Benchmarker for gossip optimization
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- Coordinate with CRDT Synchronizer for conflict-free data types
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- Integrate with Quorum Manager for membership coordination
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- Synchronize with Security Manager for secure peer communication
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@@ -0,0 +1,861 @@
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---
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name: performance-benchmarker
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type: analyst
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color: "#607D8B"
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description: Implements comprehensive performance benchmarking for distributed consensus protocols
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capabilities:
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- throughput_measurement
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- latency_analysis
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- resource_monitoring
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- comparative_analysis
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- adaptive_tuning
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priority: medium
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hooks:
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pre: |
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echo "📊 Performance Benchmarker analyzing: $TASK"
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# Initialize monitoring systems
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if [[ "$TASK" == *"benchmark"* ]]; then
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echo "⚡ Starting performance metric collection"
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fi
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post: |
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echo "📈 Performance analysis complete"
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# Generate performance report
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echo "📋 Compiling benchmarking results and recommendations"
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---
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# Performance Benchmarker
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Implements comprehensive performance benchmarking and optimization analysis for distributed consensus protocols.
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## Core Responsibilities
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1. **Protocol Benchmarking**: Measure throughput, latency, and scalability across consensus algorithms
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2. **Resource Monitoring**: Track CPU, memory, network, and storage utilization patterns
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3. **Comparative Analysis**: Compare Byzantine, Raft, and Gossip protocol performance
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4. **Adaptive Tuning**: Implement real-time parameter optimization and load balancing
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5. **Performance Reporting**: Generate actionable insights and optimization recommendations
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## Technical Implementation
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### Core Benchmarking Framework
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```javascript
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class ConsensusPerformanceBenchmarker {
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constructor() {
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this.benchmarkSuites = new Map();
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this.performanceMetrics = new Map();
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this.historicalData = new TimeSeriesDatabase();
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this.currentBenchmarks = new Set();
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this.adaptiveOptimizer = new AdaptiveOptimizer();
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this.alertSystem = new PerformanceAlertSystem();
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}
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// Register benchmark suite for specific consensus protocol
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registerBenchmarkSuite(protocolName, benchmarkConfig) {
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const suite = new BenchmarkSuite(protocolName, benchmarkConfig);
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this.benchmarkSuites.set(protocolName, suite);
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return suite;
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}
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// Execute comprehensive performance benchmarks
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async runComprehensiveBenchmarks(protocols, scenarios) {
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const results = new Map();
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for (const protocol of protocols) {
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const protocolResults = new Map();
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for (const scenario of scenarios) {
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console.log(`Running ${scenario.name} benchmark for ${protocol}`);
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const benchmarkResult = await this.executeBenchmarkScenario(protocol, scenario);
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protocolResults.set(scenario.name, benchmarkResult);
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// Store in historical database
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await this.historicalData.store({
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protocol: protocol,
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scenario: scenario.name,
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timestamp: Date.now(),
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metrics: benchmarkResult,
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});
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}
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results.set(protocol, protocolResults);
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}
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// Generate comparative analysis
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const analysis = await this.generateComparativeAnalysis(results);
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// Trigger adaptive optimizations
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await this.adaptiveOptimizer.optimizeBasedOnResults(results);
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return {
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benchmarkResults: results,
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comparativeAnalysis: analysis,
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recommendations: await this.generateOptimizationRecommendations(results),
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};
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}
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async executeBenchmarkScenario(protocol, scenario) {
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const benchmark = this.benchmarkSuites.get(protocol);
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if (!benchmark) {
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throw new Error(`No benchmark suite found for protocol: ${protocol}`);
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}
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// Initialize benchmark environment
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const environment = await this.setupBenchmarkEnvironment(scenario);
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try {
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// Pre-benchmark setup
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await benchmark.setup(environment);
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// Execute benchmark phases
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const results = {
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throughput: await this.measureThroughput(benchmark, scenario),
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latency: await this.measureLatency(benchmark, scenario),
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resourceUsage: await this.measureResourceUsage(benchmark, scenario),
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scalability: await this.measureScalability(benchmark, scenario),
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faultTolerance: await this.measureFaultTolerance(benchmark, scenario),
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};
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// Post-benchmark analysis
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results.analysis = await this.analyzeBenchmarkResults(results);
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return results;
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} finally {
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// Cleanup benchmark environment
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await this.cleanupBenchmarkEnvironment(environment);
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}
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}
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}
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```
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|
||||
### Throughput Measurement System
|
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|
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```javascript
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class ThroughputBenchmark {
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constructor(protocol, configuration) {
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this.protocol = protocol;
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this.config = configuration;
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this.metrics = new MetricsCollector();
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this.loadGenerator = new LoadGenerator();
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}
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async measureThroughput(scenario) {
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const measurements = [];
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const duration = scenario.duration || 60000; // 1 minute default
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const startTime = Date.now();
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// Initialize load generator
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await this.loadGenerator.initialize({
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requestRate: scenario.initialRate || 10,
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rampUp: scenario.rampUp || false,
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pattern: scenario.pattern || "constant",
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});
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// Start metrics collection
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this.metrics.startCollection(["transactions_per_second", "success_rate"]);
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let currentRate = scenario.initialRate || 10;
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const rateIncrement = scenario.rateIncrement || 5;
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const measurementInterval = 5000; // 5 seconds
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while (Date.now() - startTime < duration) {
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const intervalStart = Date.now();
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// Generate load for this interval
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const transactions = await this.generateTransactionLoad(currentRate, measurementInterval);
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// Measure throughput for this interval
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const intervalMetrics = await this.measureIntervalThroughput(
|
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transactions,
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measurementInterval,
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);
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measurements.push({
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timestamp: intervalStart,
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requestRate: currentRate,
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actualThroughput: intervalMetrics.throughput,
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successRate: intervalMetrics.successRate,
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averageLatency: intervalMetrics.averageLatency,
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p95Latency: intervalMetrics.p95Latency,
|
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p99Latency: intervalMetrics.p99Latency,
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});
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|
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// Adaptive rate adjustment
|
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if (scenario.rampUp && intervalMetrics.successRate > 0.95) {
|
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currentRate += rateIncrement;
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} else if (intervalMetrics.successRate < 0.8) {
|
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currentRate = Math.max(1, currentRate - rateIncrement);
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}
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|
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// Wait for next interval
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const elapsed = Date.now() - intervalStart;
|
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if (elapsed < measurementInterval) {
|
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await this.sleep(measurementInterval - elapsed);
|
||||
}
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}
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|
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// Stop metrics collection
|
||||
this.metrics.stopCollection();
|
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|
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// Analyze throughput results
|
||||
return this.analyzeThroughputMeasurements(measurements);
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}
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|
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async generateTransactionLoad(rate, duration) {
|
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const transactions = [];
|
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const interval = 1000 / rate; // Interval between transactions in ms
|
||||
const endTime = Date.now() + duration;
|
||||
|
||||
while (Date.now() < endTime) {
|
||||
const transactionStart = Date.now();
|
||||
|
||||
const transaction = {
|
||||
id: `tx_${Date.now()}_${Math.random()}`,
|
||||
type: this.getRandomTransactionType(),
|
||||
data: this.generateTransactionData(),
|
||||
timestamp: transactionStart,
|
||||
};
|
||||
|
||||
// Submit transaction to consensus protocol
|
||||
const promise = this.protocol
|
||||
.submitTransaction(transaction)
|
||||
.then((result) => ({
|
||||
...transaction,
|
||||
result: result,
|
||||
latency: Date.now() - transactionStart,
|
||||
success: result.committed === true,
|
||||
}))
|
||||
.catch((error) => ({
|
||||
...transaction,
|
||||
error: error,
|
||||
latency: Date.now() - transactionStart,
|
||||
success: false,
|
||||
}));
|
||||
|
||||
transactions.push(promise);
|
||||
|
||||
// Wait for next transaction interval
|
||||
await this.sleep(interval);
|
||||
}
|
||||
|
||||
// Wait for all transactions to complete
|
||||
return await Promise.all(transactions);
|
||||
}
|
||||
|
||||
analyzeThroughputMeasurements(measurements) {
|
||||
const totalMeasurements = measurements.length;
|
||||
const avgThroughput =
|
||||
measurements.reduce((sum, m) => sum + m.actualThroughput, 0) / totalMeasurements;
|
||||
const maxThroughput = Math.max(...measurements.map((m) => m.actualThroughput));
|
||||
const avgSuccessRate =
|
||||
measurements.reduce((sum, m) => sum + m.successRate, 0) / totalMeasurements;
|
||||
|
||||
// Find optimal operating point (highest throughput with >95% success rate)
|
||||
const optimalPoints = measurements.filter((m) => m.successRate >= 0.95);
|
||||
const optimalThroughput =
|
||||
optimalPoints.length > 0 ? Math.max(...optimalPoints.map((m) => m.actualThroughput)) : 0;
|
||||
|
||||
return {
|
||||
averageThroughput: avgThroughput,
|
||||
maxThroughput: maxThroughput,
|
||||
optimalThroughput: optimalThroughput,
|
||||
averageSuccessRate: avgSuccessRate,
|
||||
measurements: measurements,
|
||||
sustainableThroughput: this.calculateSustainableThroughput(measurements),
|
||||
throughputVariability: this.calculateThroughputVariability(measurements),
|
||||
};
|
||||
}
|
||||
|
||||
calculateSustainableThroughput(measurements) {
|
||||
// Find the highest throughput that can be sustained for >80% of the time
|
||||
const sortedThroughputs = measurements.map((m) => m.actualThroughput).sort((a, b) => b - a);
|
||||
const p80Index = Math.floor(sortedThroughputs.length * 0.2);
|
||||
return sortedThroughputs[p80Index];
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### Latency Analysis System
|
||||
|
||||
```javascript
|
||||
class LatencyBenchmark {
|
||||
constructor(protocol, configuration) {
|
||||
this.protocol = protocol;
|
||||
this.config = configuration;
|
||||
this.latencyHistogram = new LatencyHistogram();
|
||||
this.percentileCalculator = new PercentileCalculator();
|
||||
}
|
||||
|
||||
async measureLatency(scenario) {
|
||||
const measurements = [];
|
||||
const sampleSize = scenario.sampleSize || 10000;
|
||||
const warmupSize = scenario.warmupSize || 1000;
|
||||
|
||||
console.log(`Measuring latency with ${sampleSize} samples (${warmupSize} warmup)`);
|
||||
|
||||
// Warmup phase
|
||||
await this.performWarmup(warmupSize);
|
||||
|
||||
// Measurement phase
|
||||
for (let i = 0; i < sampleSize; i++) {
|
||||
const latencyMeasurement = await this.measureSingleTransactionLatency();
|
||||
measurements.push(latencyMeasurement);
|
||||
|
||||
// Progress reporting
|
||||
if (i % 1000 === 0) {
|
||||
console.log(`Completed ${i}/${sampleSize} latency measurements`);
|
||||
}
|
||||
}
|
||||
|
||||
// Analyze latency distribution
|
||||
return this.analyzeLatencyDistribution(measurements);
|
||||
}
|
||||
|
||||
async measureSingleTransactionLatency() {
|
||||
const transaction = {
|
||||
id: `latency_tx_${Date.now()}_${Math.random()}`,
|
||||
type: "benchmark",
|
||||
data: { value: Math.random() },
|
||||
phases: {},
|
||||
};
|
||||
|
||||
// Phase 1: Submission
|
||||
const submissionStart = performance.now();
|
||||
const submissionPromise = this.protocol.submitTransaction(transaction);
|
||||
transaction.phases.submission = performance.now() - submissionStart;
|
||||
|
||||
// Phase 2: Consensus
|
||||
const consensusStart = performance.now();
|
||||
const result = await submissionPromise;
|
||||
transaction.phases.consensus = performance.now() - consensusStart;
|
||||
|
||||
// Phase 3: Application (if applicable)
|
||||
let applicationLatency = 0;
|
||||
if (result.applicationTime) {
|
||||
applicationLatency = result.applicationTime;
|
||||
}
|
||||
transaction.phases.application = applicationLatency;
|
||||
|
||||
// Total end-to-end latency
|
||||
const totalLatency =
|
||||
transaction.phases.submission + transaction.phases.consensus + transaction.phases.application;
|
||||
|
||||
return {
|
||||
transactionId: transaction.id,
|
||||
totalLatency: totalLatency,
|
||||
phases: transaction.phases,
|
||||
success: result.committed === true,
|
||||
timestamp: Date.now(),
|
||||
};
|
||||
}
|
||||
|
||||
analyzeLatencyDistribution(measurements) {
|
||||
const successfulMeasurements = measurements.filter((m) => m.success);
|
||||
const latencies = successfulMeasurements.map((m) => m.totalLatency);
|
||||
|
||||
if (latencies.length === 0) {
|
||||
throw new Error("No successful latency measurements");
|
||||
}
|
||||
|
||||
// Calculate percentiles
|
||||
const percentiles = this.percentileCalculator.calculate(
|
||||
latencies,
|
||||
[50, 75, 90, 95, 99, 99.9, 99.99],
|
||||
);
|
||||
|
||||
// Phase-specific analysis
|
||||
const phaseAnalysis = this.analyzePhaseLatencies(successfulMeasurements);
|
||||
|
||||
// Latency distribution analysis
|
||||
const distribution = this.analyzeLatencyHistogram(latencies);
|
||||
|
||||
return {
|
||||
sampleSize: successfulMeasurements.length,
|
||||
mean: latencies.reduce((sum, l) => sum + l, 0) / latencies.length,
|
||||
median: percentiles[50],
|
||||
standardDeviation: this.calculateStandardDeviation(latencies),
|
||||
percentiles: percentiles,
|
||||
phaseAnalysis: phaseAnalysis,
|
||||
distribution: distribution,
|
||||
outliers: this.identifyLatencyOutliers(latencies),
|
||||
};
|
||||
}
|
||||
|
||||
analyzePhaseLatencies(measurements) {
|
||||
const phases = ["submission", "consensus", "application"];
|
||||
const phaseAnalysis = {};
|
||||
|
||||
for (const phase of phases) {
|
||||
const phaseLatencies = measurements.map((m) => m.phases[phase]);
|
||||
const validLatencies = phaseLatencies.filter((l) => l > 0);
|
||||
|
||||
if (validLatencies.length > 0) {
|
||||
phaseAnalysis[phase] = {
|
||||
mean: validLatencies.reduce((sum, l) => sum + l, 0) / validLatencies.length,
|
||||
p50: this.percentileCalculator.calculate(validLatencies, [50])[50],
|
||||
p95: this.percentileCalculator.calculate(validLatencies, [95])[95],
|
||||
p99: this.percentileCalculator.calculate(validLatencies, [99])[99],
|
||||
max: Math.max(...validLatencies),
|
||||
contributionPercent:
|
||||
(validLatencies.reduce((sum, l) => sum + l, 0) /
|
||||
measurements.reduce((sum, m) => sum + m.totalLatency, 0)) *
|
||||
100,
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
return phaseAnalysis;
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### Resource Usage Monitor
|
||||
|
||||
```javascript
|
||||
class ResourceUsageMonitor {
|
||||
constructor() {
|
||||
this.monitoringActive = false;
|
||||
this.samplingInterval = 1000; // 1 second
|
||||
this.measurements = [];
|
||||
this.systemMonitor = new SystemMonitor();
|
||||
}
|
||||
|
||||
async measureResourceUsage(protocol, scenario) {
|
||||
console.log("Starting resource usage monitoring");
|
||||
|
||||
this.monitoringActive = true;
|
||||
this.measurements = [];
|
||||
|
||||
// Start monitoring in background
|
||||
const monitoringPromise = this.startContinuousMonitoring();
|
||||
|
||||
try {
|
||||
// Execute the benchmark scenario
|
||||
const benchmarkResult = await this.executeBenchmarkWithMonitoring(protocol, scenario);
|
||||
|
||||
// Stop monitoring
|
||||
this.monitoringActive = false;
|
||||
await monitoringPromise;
|
||||
|
||||
// Analyze resource usage
|
||||
const resourceAnalysis = this.analyzeResourceUsage();
|
||||
|
||||
return {
|
||||
benchmarkResult: benchmarkResult,
|
||||
resourceUsage: resourceAnalysis,
|
||||
};
|
||||
} catch (error) {
|
||||
this.monitoringActive = false;
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
async startContinuousMonitoring() {
|
||||
while (this.monitoringActive) {
|
||||
const measurement = await this.collectResourceMeasurement();
|
||||
this.measurements.push(measurement);
|
||||
|
||||
await this.sleep(this.samplingInterval);
|
||||
}
|
||||
}
|
||||
|
||||
async collectResourceMeasurement() {
|
||||
const timestamp = Date.now();
|
||||
|
||||
// CPU usage
|
||||
const cpuUsage = await this.systemMonitor.getCPUUsage();
|
||||
|
||||
// Memory usage
|
||||
const memoryUsage = await this.systemMonitor.getMemoryUsage();
|
||||
|
||||
// Network I/O
|
||||
const networkIO = await this.systemMonitor.getNetworkIO();
|
||||
|
||||
// Disk I/O
|
||||
const diskIO = await this.systemMonitor.getDiskIO();
|
||||
|
||||
// Process-specific metrics
|
||||
const processMetrics = await this.systemMonitor.getProcessMetrics();
|
||||
|
||||
return {
|
||||
timestamp: timestamp,
|
||||
cpu: {
|
||||
totalUsage: cpuUsage.total,
|
||||
consensusUsage: cpuUsage.process,
|
||||
loadAverage: cpuUsage.loadAverage,
|
||||
coreUsage: cpuUsage.cores,
|
||||
},
|
||||
memory: {
|
||||
totalUsed: memoryUsage.used,
|
||||
totalAvailable: memoryUsage.available,
|
||||
processRSS: memoryUsage.processRSS,
|
||||
processHeap: memoryUsage.processHeap,
|
||||
gcStats: memoryUsage.gcStats,
|
||||
},
|
||||
network: {
|
||||
bytesIn: networkIO.bytesIn,
|
||||
bytesOut: networkIO.bytesOut,
|
||||
packetsIn: networkIO.packetsIn,
|
||||
packetsOut: networkIO.packetsOut,
|
||||
connectionsActive: networkIO.connectionsActive,
|
||||
},
|
||||
disk: {
|
||||
bytesRead: diskIO.bytesRead,
|
||||
bytesWritten: diskIO.bytesWritten,
|
||||
operationsRead: diskIO.operationsRead,
|
||||
operationsWrite: diskIO.operationsWrite,
|
||||
queueLength: diskIO.queueLength,
|
||||
},
|
||||
process: {
|
||||
consensusThreads: processMetrics.consensusThreads,
|
||||
fileDescriptors: processMetrics.fileDescriptors,
|
||||
uptime: processMetrics.uptime,
|
||||
},
|
||||
};
|
||||
}
|
||||
|
||||
analyzeResourceUsage() {
|
||||
if (this.measurements.length === 0) {
|
||||
return null;
|
||||
}
|
||||
|
||||
const cpuAnalysis = this.analyzeCPUUsage();
|
||||
const memoryAnalysis = this.analyzeMemoryUsage();
|
||||
const networkAnalysis = this.analyzeNetworkUsage();
|
||||
const diskAnalysis = this.analyzeDiskUsage();
|
||||
|
||||
return {
|
||||
duration:
|
||||
this.measurements[this.measurements.length - 1].timestamp - this.measurements[0].timestamp,
|
||||
sampleCount: this.measurements.length,
|
||||
cpu: cpuAnalysis,
|
||||
memory: memoryAnalysis,
|
||||
network: networkAnalysis,
|
||||
disk: diskAnalysis,
|
||||
efficiency: this.calculateResourceEfficiency(),
|
||||
bottlenecks: this.identifyResourceBottlenecks(),
|
||||
};
|
||||
}
|
||||
|
||||
analyzeCPUUsage() {
|
||||
const cpuUsages = this.measurements.map((m) => m.cpu.consensusUsage);
|
||||
|
||||
return {
|
||||
average: cpuUsages.reduce((sum, usage) => sum + usage, 0) / cpuUsages.length,
|
||||
peak: Math.max(...cpuUsages),
|
||||
p95: this.calculatePercentile(cpuUsages, 95),
|
||||
variability: this.calculateStandardDeviation(cpuUsages),
|
||||
coreUtilization: this.analyzeCoreUtilization(),
|
||||
trends: this.analyzeCPUTrends(),
|
||||
};
|
||||
}
|
||||
|
||||
analyzeMemoryUsage() {
|
||||
const memoryUsages = this.measurements.map((m) => m.memory.processRSS);
|
||||
const heapUsages = this.measurements.map((m) => m.memory.processHeap);
|
||||
|
||||
return {
|
||||
averageRSS: memoryUsages.reduce((sum, usage) => sum + usage, 0) / memoryUsages.length,
|
||||
peakRSS: Math.max(...memoryUsages),
|
||||
averageHeap: heapUsages.reduce((sum, usage) => sum + usage, 0) / heapUsages.length,
|
||||
peakHeap: Math.max(...heapUsages),
|
||||
memoryLeaks: this.detectMemoryLeaks(),
|
||||
gcImpact: this.analyzeGCImpact(),
|
||||
growth: this.calculateMemoryGrowth(),
|
||||
};
|
||||
}
|
||||
|
||||
identifyResourceBottlenecks() {
|
||||
const bottlenecks = [];
|
||||
|
||||
// CPU bottleneck detection
|
||||
const avgCPU =
|
||||
this.measurements.reduce((sum, m) => sum + m.cpu.consensusUsage, 0) /
|
||||
this.measurements.length;
|
||||
if (avgCPU > 80) {
|
||||
bottlenecks.push({
|
||||
type: "CPU",
|
||||
severity: "HIGH",
|
||||
description: `High CPU usage (${avgCPU.toFixed(1)}%)`,
|
||||
});
|
||||
}
|
||||
|
||||
// Memory bottleneck detection
|
||||
const memoryGrowth = this.calculateMemoryGrowth();
|
||||
if (memoryGrowth.rate > 1024 * 1024) {
|
||||
// 1MB/s growth
|
||||
bottlenecks.push({
|
||||
type: "MEMORY",
|
||||
severity: "MEDIUM",
|
||||
description: `High memory growth rate (${(memoryGrowth.rate / 1024 / 1024).toFixed(2)} MB/s)`,
|
||||
});
|
||||
}
|
||||
|
||||
// Network bottleneck detection
|
||||
const avgNetworkOut =
|
||||
this.measurements.reduce((sum, m) => sum + m.network.bytesOut, 0) / this.measurements.length;
|
||||
if (avgNetworkOut > 100 * 1024 * 1024) {
|
||||
// 100 MB/s
|
||||
bottlenecks.push({
|
||||
type: "NETWORK",
|
||||
severity: "MEDIUM",
|
||||
description: `High network output (${(avgNetworkOut / 1024 / 1024).toFixed(2)} MB/s)`,
|
||||
});
|
||||
}
|
||||
|
||||
return bottlenecks;
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### Adaptive Performance Optimizer
|
||||
|
||||
```javascript
|
||||
class AdaptiveOptimizer {
|
||||
constructor() {
|
||||
this.optimizationHistory = new Map();
|
||||
this.performanceModel = new PerformanceModel();
|
||||
this.parameterTuner = new ParameterTuner();
|
||||
this.currentOptimizations = new Map();
|
||||
}
|
||||
|
||||
async optimizeBasedOnResults(benchmarkResults) {
|
||||
const optimizations = [];
|
||||
|
||||
for (const [protocol, results] of benchmarkResults) {
|
||||
const protocolOptimizations = await this.optimizeProtocol(protocol, results);
|
||||
optimizations.push(...protocolOptimizations);
|
||||
}
|
||||
|
||||
// Apply optimizations gradually
|
||||
await this.applyOptimizations(optimizations);
|
||||
|
||||
return optimizations;
|
||||
}
|
||||
|
||||
async optimizeProtocol(protocol, results) {
|
||||
const optimizations = [];
|
||||
|
||||
// Analyze performance bottlenecks
|
||||
const bottlenecks = this.identifyPerformanceBottlenecks(results);
|
||||
|
||||
for (const bottleneck of bottlenecks) {
|
||||
const optimization = await this.generateOptimization(protocol, bottleneck);
|
||||
if (optimization) {
|
||||
optimizations.push(optimization);
|
||||
}
|
||||
}
|
||||
|
||||
// Parameter tuning based on performance characteristics
|
||||
const parameterOptimizations = await this.tuneParameters(protocol, results);
|
||||
optimizations.push(...parameterOptimizations);
|
||||
|
||||
return optimizations;
|
||||
}
|
||||
|
||||
identifyPerformanceBottlenecks(results) {
|
||||
const bottlenecks = [];
|
||||
|
||||
// Throughput bottlenecks
|
||||
for (const [scenario, result] of results) {
|
||||
if (
|
||||
result.throughput &&
|
||||
result.throughput.optimalThroughput < result.throughput.maxThroughput * 0.8
|
||||
) {
|
||||
bottlenecks.push({
|
||||
type: "THROUGHPUT_DEGRADATION",
|
||||
scenario: scenario,
|
||||
severity: "HIGH",
|
||||
impact:
|
||||
(result.throughput.maxThroughput - result.throughput.optimalThroughput) /
|
||||
result.throughput.maxThroughput,
|
||||
details: result.throughput,
|
||||
});
|
||||
}
|
||||
|
||||
// Latency bottlenecks
|
||||
if (result.latency && result.latency.p99 > result.latency.p50 * 10) {
|
||||
bottlenecks.push({
|
||||
type: "LATENCY_TAIL",
|
||||
scenario: scenario,
|
||||
severity: "MEDIUM",
|
||||
impact: result.latency.p99 / result.latency.p50,
|
||||
details: result.latency,
|
||||
});
|
||||
}
|
||||
|
||||
// Resource bottlenecks
|
||||
if (result.resourceUsage && result.resourceUsage.bottlenecks.length > 0) {
|
||||
bottlenecks.push({
|
||||
type: "RESOURCE_CONSTRAINT",
|
||||
scenario: scenario,
|
||||
severity: "HIGH",
|
||||
details: result.resourceUsage.bottlenecks,
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
return bottlenecks;
|
||||
}
|
||||
|
||||
async generateOptimization(protocol, bottleneck) {
|
||||
switch (bottleneck.type) {
|
||||
case "THROUGHPUT_DEGRADATION":
|
||||
return await this.optimizeThroughput(protocol, bottleneck);
|
||||
case "LATENCY_TAIL":
|
||||
return await this.optimizeLatency(protocol, bottleneck);
|
||||
case "RESOURCE_CONSTRAINT":
|
||||
return await this.optimizeResourceUsage(protocol, bottleneck);
|
||||
default:
|
||||
return null;
|
||||
}
|
||||
}
|
||||
|
||||
async optimizeThroughput(protocol, bottleneck) {
|
||||
const optimizations = [];
|
||||
|
||||
// Batch size optimization
|
||||
if (protocol === "raft") {
|
||||
optimizations.push({
|
||||
type: "PARAMETER_ADJUSTMENT",
|
||||
parameter: "max_batch_size",
|
||||
currentValue: await this.getCurrentParameter(protocol, "max_batch_size"),
|
||||
recommendedValue: this.calculateOptimalBatchSize(bottleneck.details),
|
||||
expectedImprovement: "15-25% throughput increase",
|
||||
confidence: 0.8,
|
||||
});
|
||||
}
|
||||
|
||||
// Pipelining optimization
|
||||
if (protocol === "byzantine") {
|
||||
optimizations.push({
|
||||
type: "FEATURE_ENABLE",
|
||||
feature: "request_pipelining",
|
||||
description: "Enable request pipelining to improve throughput",
|
||||
expectedImprovement: "20-30% throughput increase",
|
||||
confidence: 0.7,
|
||||
});
|
||||
}
|
||||
|
||||
return optimizations.length > 0 ? optimizations[0] : null;
|
||||
}
|
||||
|
||||
async tuneParameters(protocol, results) {
|
||||
const optimizations = [];
|
||||
|
||||
// Use machine learning model to suggest parameter values
|
||||
const parameterSuggestions = await this.performanceModel.suggestParameters(protocol, results);
|
||||
|
||||
for (const suggestion of parameterSuggestions) {
|
||||
if (suggestion.confidence > 0.6) {
|
||||
optimizations.push({
|
||||
type: "PARAMETER_TUNING",
|
||||
parameter: suggestion.parameter,
|
||||
currentValue: suggestion.currentValue,
|
||||
recommendedValue: suggestion.recommendedValue,
|
||||
expectedImprovement: suggestion.expectedImprovement,
|
||||
confidence: suggestion.confidence,
|
||||
rationale: suggestion.rationale,
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
return optimizations;
|
||||
}
|
||||
|
||||
async applyOptimizations(optimizations) {
|
||||
// Sort by confidence and expected impact
|
||||
const sortedOptimizations = optimizations.sort(
|
||||
(a, b) =>
|
||||
b.confidence * parseFloat(b.expectedImprovement) -
|
||||
a.confidence * parseFloat(a.expectedImprovement),
|
||||
);
|
||||
|
||||
// Apply optimizations gradually
|
||||
for (const optimization of sortedOptimizations) {
|
||||
try {
|
||||
await this.applyOptimization(optimization);
|
||||
|
||||
// Wait and measure impact
|
||||
await this.sleep(30000); // 30 seconds
|
||||
const impact = await this.measureOptimizationImpact(optimization);
|
||||
|
||||
if (impact.improvement < 0.05) {
|
||||
// Revert if improvement is less than 5%
|
||||
await this.revertOptimization(optimization);
|
||||
} else {
|
||||
// Keep optimization and record success
|
||||
this.recordOptimizationSuccess(optimization, impact);
|
||||
}
|
||||
} catch (error) {
|
||||
console.error(`Failed to apply optimization:`, error);
|
||||
await this.revertOptimization(optimization);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## MCP Integration Hooks
|
||||
|
||||
### Performance Metrics Storage
|
||||
|
||||
```javascript
|
||||
// Store comprehensive benchmark results
|
||||
await this.mcpTools.memory_usage({
|
||||
action: "store",
|
||||
key: `benchmark_results_${protocol}_${Date.now()}`,
|
||||
value: JSON.stringify({
|
||||
protocol: protocol,
|
||||
timestamp: Date.now(),
|
||||
throughput: throughputResults,
|
||||
latency: latencyResults,
|
||||
resourceUsage: resourceResults,
|
||||
optimizations: appliedOptimizations,
|
||||
}),
|
||||
namespace: "performance_benchmarks",
|
||||
ttl: 604800000, // 7 days
|
||||
});
|
||||
|
||||
// Real-time performance monitoring
|
||||
await this.mcpTools.metrics_collect({
|
||||
components: [
|
||||
"consensus_throughput",
|
||||
"consensus_latency_p99",
|
||||
"cpu_utilization",
|
||||
"memory_usage",
|
||||
"network_io_rate",
|
||||
],
|
||||
});
|
||||
```
|
||||
|
||||
### Neural Performance Learning
|
||||
|
||||
```javascript
|
||||
// Learn performance optimization patterns
|
||||
await this.mcpTools.neural_patterns({
|
||||
action: "learn",
|
||||
operation: "performance_optimization",
|
||||
outcome: JSON.stringify({
|
||||
optimizationType: optimization.type,
|
||||
performanceGain: measurementResults.improvement,
|
||||
resourceImpact: measurementResults.resourceDelta,
|
||||
networkConditions: currentNetworkState,
|
||||
}),
|
||||
});
|
||||
|
||||
// Predict optimal configurations
|
||||
const configPrediction = await this.mcpTools.neural_predict({
|
||||
modelId: "consensus_performance_model",
|
||||
input: JSON.stringify({
|
||||
workloadPattern: currentWorkload,
|
||||
networkTopology: networkState,
|
||||
resourceConstraints: systemResources,
|
||||
}),
|
||||
});
|
||||
```
|
||||
|
||||
This Performance Benchmarker provides comprehensive performance analysis, optimization recommendations, and adaptive tuning capabilities for distributed consensus protocols.
|
||||
@@ -0,0 +1,836 @@
|
||||
---
|
||||
name: quorum-manager
|
||||
type: coordinator
|
||||
color: "#673AB7"
|
||||
description: Implements dynamic quorum adjustment and intelligent membership management
|
||||
capabilities:
|
||||
- dynamic_quorum_calculation
|
||||
- membership_management
|
||||
- network_monitoring
|
||||
- weighted_voting
|
||||
- fault_tolerance_optimization
|
||||
priority: high
|
||||
hooks:
|
||||
pre: |
|
||||
echo "🎯 Quorum Manager adjusting: $TASK"
|
||||
# Assess current network conditions
|
||||
if [[ "$TASK" == *"quorum"* ]]; then
|
||||
echo "📡 Analyzing network topology and node health"
|
||||
fi
|
||||
post: |
|
||||
echo "⚖️ Quorum adjustment complete"
|
||||
# Validate new quorum configuration
|
||||
echo "✅ Verifying fault tolerance and availability guarantees"
|
||||
---
|
||||
|
||||
# Quorum Manager
|
||||
|
||||
Implements dynamic quorum adjustment and intelligent membership management for distributed consensus protocols.
|
||||
|
||||
## Core Responsibilities
|
||||
|
||||
1. **Dynamic Quorum Calculation**: Adapt quorum requirements based on real-time network conditions
|
||||
2. **Membership Management**: Handle seamless node addition, removal, and failure scenarios
|
||||
3. **Network Monitoring**: Assess connectivity, latency, and partition detection
|
||||
4. **Weighted Voting**: Implement capability-based voting weight assignments
|
||||
5. **Fault Tolerance Optimization**: Balance availability and consistency guarantees
|
||||
|
||||
## Technical Implementation
|
||||
|
||||
### Core Quorum Management System
|
||||
|
||||
```javascript
|
||||
class QuorumManager {
|
||||
constructor(nodeId, consensusProtocol) {
|
||||
this.nodeId = nodeId;
|
||||
this.protocol = consensusProtocol;
|
||||
this.currentQuorum = new Map(); // nodeId -> QuorumNode
|
||||
this.quorumHistory = [];
|
||||
this.networkMonitor = new NetworkConditionMonitor();
|
||||
this.membershipTracker = new MembershipTracker();
|
||||
this.faultToleranceCalculator = new FaultToleranceCalculator();
|
||||
this.adjustmentStrategies = new Map();
|
||||
|
||||
this.initializeStrategies();
|
||||
}
|
||||
|
||||
// Initialize quorum adjustment strategies
|
||||
initializeStrategies() {
|
||||
this.adjustmentStrategies.set("NETWORK_BASED", new NetworkBasedStrategy());
|
||||
this.adjustmentStrategies.set("PERFORMANCE_BASED", new PerformanceBasedStrategy());
|
||||
this.adjustmentStrategies.set("FAULT_TOLERANCE_BASED", new FaultToleranceStrategy());
|
||||
this.adjustmentStrategies.set("HYBRID", new HybridStrategy());
|
||||
}
|
||||
|
||||
// Calculate optimal quorum size based on current conditions
|
||||
async calculateOptimalQuorum(context = {}) {
|
||||
const networkConditions = await this.networkMonitor.getCurrentConditions();
|
||||
const membershipStatus = await this.membershipTracker.getMembershipStatus();
|
||||
const performanceMetrics = context.performanceMetrics || (await this.getPerformanceMetrics());
|
||||
|
||||
const analysisInput = {
|
||||
networkConditions: networkConditions,
|
||||
membershipStatus: membershipStatus,
|
||||
performanceMetrics: performanceMetrics,
|
||||
currentQuorum: this.currentQuorum,
|
||||
protocol: this.protocol,
|
||||
faultToleranceRequirements:
|
||||
context.faultToleranceRequirements || this.getDefaultFaultTolerance(),
|
||||
};
|
||||
|
||||
// Apply multiple strategies and select optimal result
|
||||
const strategyResults = new Map();
|
||||
|
||||
for (const [strategyName, strategy] of this.adjustmentStrategies) {
|
||||
try {
|
||||
const result = await strategy.calculateQuorum(analysisInput);
|
||||
strategyResults.set(strategyName, result);
|
||||
} catch (error) {
|
||||
console.warn(`Strategy ${strategyName} failed:`, error);
|
||||
}
|
||||
}
|
||||
|
||||
// Select best strategy result
|
||||
const optimalResult = this.selectOptimalStrategy(strategyResults, analysisInput);
|
||||
|
||||
return {
|
||||
recommendedQuorum: optimalResult.quorum,
|
||||
strategy: optimalResult.strategy,
|
||||
confidence: optimalResult.confidence,
|
||||
reasoning: optimalResult.reasoning,
|
||||
expectedImpact: optimalResult.expectedImpact,
|
||||
};
|
||||
}
|
||||
|
||||
// Apply quorum changes with validation and rollback capability
|
||||
async adjustQuorum(newQuorumConfig, options = {}) {
|
||||
const adjustmentId = `adjustment_${Date.now()}`;
|
||||
|
||||
try {
|
||||
// Validate new quorum configuration
|
||||
await this.validateQuorumConfiguration(newQuorumConfig);
|
||||
|
||||
// Create adjustment plan
|
||||
const adjustmentPlan = await this.createAdjustmentPlan(this.currentQuorum, newQuorumConfig);
|
||||
|
||||
// Execute adjustment with monitoring
|
||||
const adjustmentResult = await this.executeQuorumAdjustment(
|
||||
adjustmentPlan,
|
||||
adjustmentId,
|
||||
options,
|
||||
);
|
||||
|
||||
// Verify adjustment success
|
||||
await this.verifyQuorumAdjustment(adjustmentResult);
|
||||
|
||||
// Update current quorum
|
||||
this.currentQuorum = newQuorumConfig.quorum;
|
||||
|
||||
// Record successful adjustment
|
||||
this.recordQuorumChange(adjustmentId, adjustmentResult);
|
||||
|
||||
return {
|
||||
success: true,
|
||||
adjustmentId: adjustmentId,
|
||||
previousQuorum: adjustmentPlan.previousQuorum,
|
||||
newQuorum: this.currentQuorum,
|
||||
impact: adjustmentResult.impact,
|
||||
};
|
||||
} catch (error) {
|
||||
console.error(`Quorum adjustment failed:`, error);
|
||||
|
||||
// Attempt rollback
|
||||
await this.rollbackQuorumAdjustment(adjustmentId);
|
||||
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
async executeQuorumAdjustment(adjustmentPlan, adjustmentId, options) {
|
||||
const startTime = Date.now();
|
||||
|
||||
// Phase 1: Prepare nodes for quorum change
|
||||
await this.prepareNodesForAdjustment(adjustmentPlan.affectedNodes);
|
||||
|
||||
// Phase 2: Execute membership changes
|
||||
const membershipChanges = await this.executeMembershipChanges(adjustmentPlan.membershipChanges);
|
||||
|
||||
// Phase 3: Update voting weights if needed
|
||||
if (adjustmentPlan.weightChanges.length > 0) {
|
||||
await this.updateVotingWeights(adjustmentPlan.weightChanges);
|
||||
}
|
||||
|
||||
// Phase 4: Reconfigure consensus protocol
|
||||
await this.reconfigureConsensusProtocol(adjustmentPlan.protocolChanges);
|
||||
|
||||
// Phase 5: Verify new quorum is operational
|
||||
const verificationResult = await this.verifyQuorumOperational(adjustmentPlan.newQuorum);
|
||||
|
||||
const endTime = Date.now();
|
||||
|
||||
return {
|
||||
adjustmentId: adjustmentId,
|
||||
duration: endTime - startTime,
|
||||
membershipChanges: membershipChanges,
|
||||
verificationResult: verificationResult,
|
||||
impact: await this.measureAdjustmentImpact(startTime, endTime),
|
||||
};
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### Network-Based Quorum Strategy
|
||||
|
||||
```javascript
|
||||
class NetworkBasedStrategy {
|
||||
constructor() {
|
||||
this.networkAnalyzer = new NetworkAnalyzer();
|
||||
this.connectivityMatrix = new ConnectivityMatrix();
|
||||
this.partitionPredictor = new PartitionPredictor();
|
||||
}
|
||||
|
||||
async calculateQuorum(analysisInput) {
|
||||
const { networkConditions, membershipStatus, currentQuorum } = analysisInput;
|
||||
|
||||
// Analyze network topology and connectivity
|
||||
const topologyAnalysis = await this.analyzeNetworkTopology(membershipStatus.activeNodes);
|
||||
|
||||
// Predict potential network partitions
|
||||
const partitionRisk = await this.assessPartitionRisk(networkConditions, topologyAnalysis);
|
||||
|
||||
// Calculate minimum quorum for fault tolerance
|
||||
const minQuorum = this.calculateMinimumQuorum(
|
||||
membershipStatus.activeNodes.length,
|
||||
partitionRisk.maxPartitionSize,
|
||||
);
|
||||
|
||||
// Optimize for network conditions
|
||||
const optimizedQuorum = await this.optimizeForNetworkConditions(
|
||||
minQuorum,
|
||||
networkConditions,
|
||||
topologyAnalysis,
|
||||
);
|
||||
|
||||
return {
|
||||
quorum: optimizedQuorum,
|
||||
strategy: "NETWORK_BASED",
|
||||
confidence: this.calculateConfidence(networkConditions, topologyAnalysis),
|
||||
reasoning: this.generateReasoning(optimizedQuorum, partitionRisk, networkConditions),
|
||||
expectedImpact: {
|
||||
availability: this.estimateAvailabilityImpact(optimizedQuorum),
|
||||
performance: this.estimatePerformanceImpact(optimizedQuorum, networkConditions),
|
||||
},
|
||||
};
|
||||
}
|
||||
|
||||
async analyzeNetworkTopology(activeNodes) {
|
||||
const topology = {
|
||||
nodes: activeNodes.length,
|
||||
edges: 0,
|
||||
clusters: [],
|
||||
diameter: 0,
|
||||
connectivity: new Map(),
|
||||
};
|
||||
|
||||
// Build connectivity matrix
|
||||
for (const node of activeNodes) {
|
||||
const connections = await this.getNodeConnections(node);
|
||||
topology.connectivity.set(node.id, connections);
|
||||
topology.edges += connections.length;
|
||||
}
|
||||
|
||||
// Identify network clusters
|
||||
topology.clusters = await this.identifyNetworkClusters(topology.connectivity);
|
||||
|
||||
// Calculate network diameter
|
||||
topology.diameter = await this.calculateNetworkDiameter(topology.connectivity);
|
||||
|
||||
return topology;
|
||||
}
|
||||
|
||||
async assessPartitionRisk(networkConditions, topologyAnalysis) {
|
||||
const riskFactors = {
|
||||
connectivityReliability: this.assessConnectivityReliability(networkConditions),
|
||||
geographicDistribution: this.assessGeographicRisk(topologyAnalysis),
|
||||
networkLatency: this.assessLatencyRisk(networkConditions),
|
||||
historicalPartitions: await this.getHistoricalPartitionData(),
|
||||
};
|
||||
|
||||
// Calculate overall partition risk
|
||||
const overallRisk = this.calculateOverallPartitionRisk(riskFactors);
|
||||
|
||||
// Estimate maximum partition size
|
||||
const maxPartitionSize = this.estimateMaxPartitionSize(topologyAnalysis, riskFactors);
|
||||
|
||||
return {
|
||||
overallRisk: overallRisk,
|
||||
maxPartitionSize: maxPartitionSize,
|
||||
riskFactors: riskFactors,
|
||||
mitigationStrategies: this.suggestMitigationStrategies(riskFactors),
|
||||
};
|
||||
}
|
||||
|
||||
calculateMinimumQuorum(totalNodes, maxPartitionSize) {
|
||||
// For Byzantine fault tolerance: need > 2/3 of total nodes
|
||||
const byzantineMinimum = Math.floor((2 * totalNodes) / 3) + 1;
|
||||
|
||||
// For network partition tolerance: need > 1/2 of largest connected component
|
||||
const partitionMinimum = Math.floor((totalNodes - maxPartitionSize) / 2) + 1;
|
||||
|
||||
// Use the more restrictive requirement
|
||||
return Math.max(byzantineMinimum, partitionMinimum);
|
||||
}
|
||||
|
||||
async optimizeForNetworkConditions(minQuorum, networkConditions, topologyAnalysis) {
|
||||
const optimization = {
|
||||
baseQuorum: minQuorum,
|
||||
nodes: new Map(),
|
||||
totalWeight: 0,
|
||||
};
|
||||
|
||||
// Select nodes for quorum based on network position and reliability
|
||||
const nodeScores = await this.scoreNodesForQuorum(networkConditions, topologyAnalysis);
|
||||
|
||||
// Sort nodes by score (higher is better)
|
||||
const sortedNodes = Array.from(nodeScores.entries()).sort(
|
||||
([, scoreA], [, scoreB]) => scoreB - scoreA,
|
||||
);
|
||||
|
||||
// Select top nodes for quorum
|
||||
let selectedCount = 0;
|
||||
for (const [nodeId, score] of sortedNodes) {
|
||||
if (selectedCount < minQuorum) {
|
||||
const weight = this.calculateNodeWeight(nodeId, score, networkConditions);
|
||||
optimization.nodes.set(nodeId, {
|
||||
weight: weight,
|
||||
score: score,
|
||||
role: selectedCount === 0 ? "primary" : "secondary",
|
||||
});
|
||||
optimization.totalWeight += weight;
|
||||
selectedCount++;
|
||||
}
|
||||
}
|
||||
|
||||
return optimization;
|
||||
}
|
||||
|
||||
async scoreNodesForQuorum(networkConditions, topologyAnalysis) {
|
||||
const scores = new Map();
|
||||
|
||||
for (const [nodeId, connections] of topologyAnalysis.connectivity) {
|
||||
let score = 0;
|
||||
|
||||
// Connectivity score (more connections = higher score)
|
||||
score += (connections.length / topologyAnalysis.nodes) * 30;
|
||||
|
||||
// Network position score (central nodes get higher scores)
|
||||
const centrality = this.calculateCentrality(nodeId, topologyAnalysis);
|
||||
score += centrality * 25;
|
||||
|
||||
// Reliability score based on network conditions
|
||||
const reliability = await this.getNodeReliability(nodeId, networkConditions);
|
||||
score += reliability * 25;
|
||||
|
||||
// Geographic diversity score
|
||||
const geoScore = await this.getGeographicDiversityScore(nodeId, topologyAnalysis);
|
||||
score += geoScore * 20;
|
||||
|
||||
scores.set(nodeId, score);
|
||||
}
|
||||
|
||||
return scores;
|
||||
}
|
||||
|
||||
calculateNodeWeight(nodeId, score, networkConditions) {
|
||||
// Base weight of 1, adjusted by score and conditions
|
||||
let weight = 1.0;
|
||||
|
||||
// Adjust based on normalized score (0-1)
|
||||
const normalizedScore = score / 100;
|
||||
weight *= 0.5 + normalizedScore;
|
||||
|
||||
// Adjust based on network latency
|
||||
const nodeLatency = networkConditions.nodeLatencies.get(nodeId) || 100;
|
||||
const latencyFactor = Math.max(0.1, 1.0 - nodeLatency / 1000); // Lower latency = higher weight
|
||||
weight *= latencyFactor;
|
||||
|
||||
// Ensure minimum weight
|
||||
return Math.max(0.1, Math.min(2.0, weight));
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### Performance-Based Quorum Strategy
|
||||
|
||||
```javascript
|
||||
class PerformanceBasedStrategy {
|
||||
constructor() {
|
||||
this.performanceAnalyzer = new PerformanceAnalyzer();
|
||||
this.throughputOptimizer = new ThroughputOptimizer();
|
||||
this.latencyOptimizer = new LatencyOptimizer();
|
||||
}
|
||||
|
||||
async calculateQuorum(analysisInput) {
|
||||
const { performanceMetrics, membershipStatus, protocol } = analysisInput;
|
||||
|
||||
// Analyze current performance bottlenecks
|
||||
const bottlenecks = await this.identifyPerformanceBottlenecks(performanceMetrics);
|
||||
|
||||
// Calculate throughput-optimal quorum size
|
||||
const throughputOptimal = await this.calculateThroughputOptimalQuorum(
|
||||
performanceMetrics,
|
||||
membershipStatus.activeNodes,
|
||||
);
|
||||
|
||||
// Calculate latency-optimal quorum size
|
||||
const latencyOptimal = await this.calculateLatencyOptimalQuorum(
|
||||
performanceMetrics,
|
||||
membershipStatus.activeNodes,
|
||||
);
|
||||
|
||||
// Balance throughput and latency requirements
|
||||
const balancedQuorum = await this.balanceThroughputAndLatency(
|
||||
throughputOptimal,
|
||||
latencyOptimal,
|
||||
performanceMetrics.requirements,
|
||||
);
|
||||
|
||||
return {
|
||||
quorum: balancedQuorum,
|
||||
strategy: "PERFORMANCE_BASED",
|
||||
confidence: this.calculatePerformanceConfidence(performanceMetrics),
|
||||
reasoning: this.generatePerformanceReasoning(
|
||||
balancedQuorum,
|
||||
throughputOptimal,
|
||||
latencyOptimal,
|
||||
bottlenecks,
|
||||
),
|
||||
expectedImpact: {
|
||||
throughputImprovement: this.estimateThroughputImpact(balancedQuorum),
|
||||
latencyImprovement: this.estimateLatencyImpact(balancedQuorum),
|
||||
},
|
||||
};
|
||||
}
|
||||
|
||||
async calculateThroughputOptimalQuorum(performanceMetrics, activeNodes) {
|
||||
const currentThroughput = performanceMetrics.throughput;
|
||||
const targetThroughput = performanceMetrics.requirements.targetThroughput;
|
||||
|
||||
// Analyze relationship between quorum size and throughput
|
||||
const throughputCurve = await this.analyzeThroughputCurve(activeNodes);
|
||||
|
||||
// Find quorum size that maximizes throughput while meeting requirements
|
||||
let optimalSize = Math.ceil(activeNodes.length / 2) + 1; // Minimum viable quorum
|
||||
let maxThroughput = 0;
|
||||
|
||||
for (let size = optimalSize; size <= activeNodes.length; size++) {
|
||||
const projectedThroughput = this.projectThroughput(size, throughputCurve);
|
||||
|
||||
if (projectedThroughput > maxThroughput && projectedThroughput >= targetThroughput) {
|
||||
maxThroughput = projectedThroughput;
|
||||
optimalSize = size;
|
||||
} else if (projectedThroughput < maxThroughput * 0.9) {
|
||||
// Stop if throughput starts decreasing significantly
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
return await this.selectOptimalNodes(activeNodes, optimalSize, "THROUGHPUT");
|
||||
}
|
||||
|
||||
async calculateLatencyOptimalQuorum(performanceMetrics, activeNodes) {
|
||||
const currentLatency = performanceMetrics.latency;
|
||||
const targetLatency = performanceMetrics.requirements.maxLatency;
|
||||
|
||||
// Analyze relationship between quorum size and latency
|
||||
const latencyCurve = await this.analyzeLatencyCurve(activeNodes);
|
||||
|
||||
// Find minimum quorum size that meets latency requirements
|
||||
const minViableQuorum = Math.ceil(activeNodes.length / 2) + 1;
|
||||
|
||||
for (let size = minViableQuorum; size <= activeNodes.length; size++) {
|
||||
const projectedLatency = this.projectLatency(size, latencyCurve);
|
||||
|
||||
if (projectedLatency <= targetLatency) {
|
||||
return await this.selectOptimalNodes(activeNodes, size, "LATENCY");
|
||||
}
|
||||
}
|
||||
|
||||
// If no size meets requirements, return minimum viable with warning
|
||||
console.warn("No quorum size meets latency requirements");
|
||||
return await this.selectOptimalNodes(activeNodes, minViableQuorum, "LATENCY");
|
||||
}
|
||||
|
||||
async selectOptimalNodes(availableNodes, targetSize, optimizationTarget) {
|
||||
const nodeScores = new Map();
|
||||
|
||||
// Score nodes based on optimization target
|
||||
for (const node of availableNodes) {
|
||||
let score = 0;
|
||||
|
||||
if (optimizationTarget === "THROUGHPUT") {
|
||||
score = await this.scoreThroughputCapability(node);
|
||||
} else if (optimizationTarget === "LATENCY") {
|
||||
score = await this.scoreLatencyPerformance(node);
|
||||
}
|
||||
|
||||
nodeScores.set(node.id, score);
|
||||
}
|
||||
|
||||
// Select top-scoring nodes
|
||||
const sortedNodes = availableNodes.sort((a, b) => nodeScores.get(b.id) - nodeScores.get(a.id));
|
||||
|
||||
const selectedNodes = new Map();
|
||||
|
||||
for (let i = 0; i < Math.min(targetSize, sortedNodes.length); i++) {
|
||||
const node = sortedNodes[i];
|
||||
selectedNodes.set(node.id, {
|
||||
weight: this.calculatePerformanceWeight(node, nodeScores.get(node.id)),
|
||||
score: nodeScores.get(node.id),
|
||||
role: i === 0 ? "primary" : "secondary",
|
||||
optimizationTarget: optimizationTarget,
|
||||
});
|
||||
}
|
||||
|
||||
return {
|
||||
nodes: selectedNodes,
|
||||
totalWeight: Array.from(selectedNodes.values()).reduce((sum, node) => sum + node.weight, 0),
|
||||
optimizationTarget: optimizationTarget,
|
||||
};
|
||||
}
|
||||
|
||||
async scoreThroughputCapability(node) {
|
||||
let score = 0;
|
||||
|
||||
// CPU capacity score
|
||||
const cpuCapacity = await this.getNodeCPUCapacity(node);
|
||||
score += (cpuCapacity / 100) * 30; // 30% weight for CPU
|
||||
|
||||
// Network bandwidth score
|
||||
const bandwidth = await this.getNodeBandwidth(node);
|
||||
score += (bandwidth / 1000) * 25; // 25% weight for bandwidth (Mbps)
|
||||
|
||||
// Memory capacity score
|
||||
const memory = await this.getNodeMemory(node);
|
||||
score += (memory / 8192) * 20; // 20% weight for memory (MB)
|
||||
|
||||
// Historical throughput performance
|
||||
const historicalPerformance = await this.getHistoricalThroughput(node);
|
||||
score += (historicalPerformance / 1000) * 25; // 25% weight for historical performance
|
||||
|
||||
return Math.min(100, score); // Normalize to 0-100
|
||||
}
|
||||
|
||||
async scoreLatencyPerformance(node) {
|
||||
let score = 100; // Start with perfect score, subtract penalties
|
||||
|
||||
// Network latency penalty
|
||||
const avgLatency = await this.getAverageNodeLatency(node);
|
||||
score -= avgLatency / 10; // Subtract 1 point per 10ms latency
|
||||
|
||||
// CPU load penalty
|
||||
const cpuLoad = await this.getNodeCPULoad(node);
|
||||
score -= cpuLoad / 2; // Subtract 0.5 points per 1% CPU load
|
||||
|
||||
// Geographic distance penalty (for distributed networks)
|
||||
const geoLatency = await this.getGeographicLatency(node);
|
||||
score -= geoLatency / 20; // Subtract 1 point per 20ms geo latency
|
||||
|
||||
// Consistency penalty (nodes with inconsistent performance)
|
||||
const consistencyScore = await this.getPerformanceConsistency(node);
|
||||
score *= consistencyScore; // Multiply by consistency factor (0-1)
|
||||
|
||||
return Math.max(0, score);
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### Fault Tolerance Strategy
|
||||
|
||||
```javascript
|
||||
class FaultToleranceStrategy {
|
||||
constructor() {
|
||||
this.faultAnalyzer = new FaultAnalyzer();
|
||||
this.reliabilityCalculator = new ReliabilityCalculator();
|
||||
this.redundancyOptimizer = new RedundancyOptimizer();
|
||||
}
|
||||
|
||||
async calculateQuorum(analysisInput) {
|
||||
const { membershipStatus, faultToleranceRequirements, networkConditions } = analysisInput;
|
||||
|
||||
// Analyze fault scenarios
|
||||
const faultScenarios = await this.analyzeFaultScenarios(
|
||||
membershipStatus.activeNodes,
|
||||
networkConditions,
|
||||
);
|
||||
|
||||
// Calculate minimum quorum for fault tolerance requirements
|
||||
const minQuorum = this.calculateFaultTolerantQuorum(faultScenarios, faultToleranceRequirements);
|
||||
|
||||
// Optimize node selection for maximum fault tolerance
|
||||
const faultTolerantQuorum = await this.optimizeForFaultTolerance(
|
||||
membershipStatus.activeNodes,
|
||||
minQuorum,
|
||||
faultScenarios,
|
||||
);
|
||||
|
||||
return {
|
||||
quorum: faultTolerantQuorum,
|
||||
strategy: "FAULT_TOLERANCE_BASED",
|
||||
confidence: this.calculateFaultConfidence(faultScenarios),
|
||||
reasoning: this.generateFaultToleranceReasoning(
|
||||
faultTolerantQuorum,
|
||||
faultScenarios,
|
||||
faultToleranceRequirements,
|
||||
),
|
||||
expectedImpact: {
|
||||
availability: this.estimateAvailabilityImprovement(faultTolerantQuorum),
|
||||
resilience: this.estimateResilienceImprovement(faultTolerantQuorum),
|
||||
},
|
||||
};
|
||||
}
|
||||
|
||||
async analyzeFaultScenarios(activeNodes, networkConditions) {
|
||||
const scenarios = [];
|
||||
|
||||
// Single node failure scenarios
|
||||
for (const node of activeNodes) {
|
||||
const scenario = await this.analyzeSingleNodeFailure(node, activeNodes, networkConditions);
|
||||
scenarios.push(scenario);
|
||||
}
|
||||
|
||||
// Multiple node failure scenarios
|
||||
const multiFailureScenarios = await this.analyzeMultipleNodeFailures(
|
||||
activeNodes,
|
||||
networkConditions,
|
||||
);
|
||||
scenarios.push(...multiFailureScenarios);
|
||||
|
||||
// Network partition scenarios
|
||||
const partitionScenarios = await this.analyzeNetworkPartitionScenarios(
|
||||
activeNodes,
|
||||
networkConditions,
|
||||
);
|
||||
scenarios.push(...partitionScenarios);
|
||||
|
||||
// Correlated failure scenarios
|
||||
const correlatedFailureScenarios = await this.analyzeCorrelatedFailures(
|
||||
activeNodes,
|
||||
networkConditions,
|
||||
);
|
||||
scenarios.push(...correlatedFailureScenarios);
|
||||
|
||||
return this.prioritizeScenariosByLikelihood(scenarios);
|
||||
}
|
||||
|
||||
calculateFaultTolerantQuorum(faultScenarios, requirements) {
|
||||
let maxRequiredQuorum = 0;
|
||||
|
||||
for (const scenario of faultScenarios) {
|
||||
if (scenario.likelihood >= requirements.minLikelihoodToConsider) {
|
||||
const requiredQuorum = this.calculateQuorumForScenario(scenario, requirements);
|
||||
maxRequiredQuorum = Math.max(maxRequiredQuorum, requiredQuorum);
|
||||
}
|
||||
}
|
||||
|
||||
return maxRequiredQuorum;
|
||||
}
|
||||
|
||||
calculateQuorumForScenario(scenario, requirements) {
|
||||
const totalNodes = scenario.totalNodes;
|
||||
const failedNodes = scenario.failedNodes;
|
||||
const availableNodes = totalNodes - failedNodes;
|
||||
|
||||
// For Byzantine fault tolerance
|
||||
if (requirements.byzantineFaultTolerance) {
|
||||
const maxByzantineNodes = Math.floor((totalNodes - 1) / 3);
|
||||
return Math.floor((2 * totalNodes) / 3) + 1;
|
||||
}
|
||||
|
||||
// For crash fault tolerance
|
||||
return Math.floor(availableNodes / 2) + 1;
|
||||
}
|
||||
|
||||
async optimizeForFaultTolerance(activeNodes, minQuorum, faultScenarios) {
|
||||
const optimizedQuorum = {
|
||||
nodes: new Map(),
|
||||
totalWeight: 0,
|
||||
faultTolerance: {
|
||||
singleNodeFailures: 0,
|
||||
multipleNodeFailures: 0,
|
||||
networkPartitions: 0,
|
||||
},
|
||||
};
|
||||
|
||||
// Score nodes based on fault tolerance contribution
|
||||
const nodeScores = await this.scoreFaultToleranceContribution(activeNodes, faultScenarios);
|
||||
|
||||
// Select nodes to maximize fault tolerance coverage
|
||||
const selectedNodes = this.selectFaultTolerantNodes(
|
||||
activeNodes,
|
||||
minQuorum,
|
||||
nodeScores,
|
||||
faultScenarios,
|
||||
);
|
||||
|
||||
for (const [nodeId, nodeData] of selectedNodes) {
|
||||
optimizedQuorum.nodes.set(nodeId, {
|
||||
weight: nodeData.weight,
|
||||
score: nodeData.score,
|
||||
role: nodeData.role,
|
||||
faultToleranceContribution: nodeData.faultToleranceContribution,
|
||||
});
|
||||
optimizedQuorum.totalWeight += nodeData.weight;
|
||||
}
|
||||
|
||||
// Calculate fault tolerance metrics for selected quorum
|
||||
optimizedQuorum.faultTolerance = await this.calculateFaultToleranceMetrics(
|
||||
selectedNodes,
|
||||
faultScenarios,
|
||||
);
|
||||
|
||||
return optimizedQuorum;
|
||||
}
|
||||
|
||||
async scoreFaultToleranceContribution(activeNodes, faultScenarios) {
|
||||
const scores = new Map();
|
||||
|
||||
for (const node of activeNodes) {
|
||||
let score = 0;
|
||||
|
||||
// Independence score (nodes in different failure domains get higher scores)
|
||||
const independenceScore = await this.calculateIndependenceScore(node, activeNodes);
|
||||
score += independenceScore * 40;
|
||||
|
||||
// Reliability score (historical uptime and performance)
|
||||
const reliabilityScore = await this.calculateReliabilityScore(node);
|
||||
score += reliabilityScore * 30;
|
||||
|
||||
// Geographic diversity score
|
||||
const diversityScore = await this.calculateDiversityScore(node, activeNodes);
|
||||
score += diversityScore * 20;
|
||||
|
||||
// Recovery capability score
|
||||
const recoveryScore = await this.calculateRecoveryScore(node);
|
||||
score += recoveryScore * 10;
|
||||
|
||||
scores.set(node.id, score);
|
||||
}
|
||||
|
||||
return scores;
|
||||
}
|
||||
|
||||
selectFaultTolerantNodes(activeNodes, minQuorum, nodeScores, faultScenarios) {
|
||||
const selectedNodes = new Map();
|
||||
const remainingNodes = [...activeNodes];
|
||||
|
||||
// Greedy selection to maximize fault tolerance coverage
|
||||
while (selectedNodes.size < minQuorum && remainingNodes.length > 0) {
|
||||
let bestNode = null;
|
||||
let bestScore = -1;
|
||||
let bestIndex = -1;
|
||||
|
||||
for (let i = 0; i < remainingNodes.length; i++) {
|
||||
const node = remainingNodes[i];
|
||||
const additionalCoverage = this.calculateAdditionalFaultCoverage(
|
||||
node,
|
||||
selectedNodes,
|
||||
faultScenarios,
|
||||
);
|
||||
|
||||
const combinedScore = nodeScores.get(node.id) + additionalCoverage * 50;
|
||||
|
||||
if (combinedScore > bestScore) {
|
||||
bestScore = combinedScore;
|
||||
bestNode = node;
|
||||
bestIndex = i;
|
||||
}
|
||||
}
|
||||
|
||||
if (bestNode) {
|
||||
selectedNodes.set(bestNode.id, {
|
||||
weight: this.calculateFaultToleranceWeight(bestNode, nodeScores.get(bestNode.id)),
|
||||
score: nodeScores.get(bestNode.id),
|
||||
role: selectedNodes.size === 0 ? "primary" : "secondary",
|
||||
faultToleranceContribution: this.calculateFaultToleranceContribution(bestNode),
|
||||
});
|
||||
|
||||
remainingNodes.splice(bestIndex, 1);
|
||||
} else {
|
||||
break; // No more beneficial nodes
|
||||
}
|
||||
}
|
||||
|
||||
return selectedNodes;
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## MCP Integration Hooks
|
||||
|
||||
### Quorum State Management
|
||||
|
||||
```javascript
|
||||
// Store quorum configuration and history
|
||||
await this.mcpTools.memory_usage({
|
||||
action: "store",
|
||||
key: `quorum_config_${this.nodeId}`,
|
||||
value: JSON.stringify({
|
||||
currentQuorum: Array.from(this.currentQuorum.entries()),
|
||||
strategy: this.activeStrategy,
|
||||
networkConditions: this.lastNetworkAnalysis,
|
||||
adjustmentHistory: this.quorumHistory.slice(-10),
|
||||
}),
|
||||
namespace: "quorum_management",
|
||||
ttl: 3600000, // 1 hour
|
||||
});
|
||||
|
||||
// Coordinate with swarm for membership changes
|
||||
const swarmStatus = await this.mcpTools.swarm_status({
|
||||
swarmId: this.swarmId,
|
||||
});
|
||||
|
||||
await this.mcpTools.coordination_sync({
|
||||
swarmId: this.swarmId,
|
||||
});
|
||||
```
|
||||
|
||||
### Performance Monitoring Integration
|
||||
|
||||
```javascript
|
||||
// Track quorum adjustment performance
|
||||
await this.mcpTools.metrics_collect({
|
||||
components: [
|
||||
"quorum_adjustment_latency",
|
||||
"consensus_availability",
|
||||
"fault_tolerance_coverage",
|
||||
"network_partition_recovery_time",
|
||||
],
|
||||
});
|
||||
|
||||
// Neural learning for quorum optimization
|
||||
await this.mcpTools.neural_patterns({
|
||||
action: "learn",
|
||||
operation: "quorum_optimization",
|
||||
outcome: JSON.stringify({
|
||||
adjustmentType: adjustment.strategy,
|
||||
performanceImpact: measurementResults,
|
||||
networkConditions: currentNetworkState,
|
||||
faultToleranceImprovement: faultToleranceMetrics,
|
||||
}),
|
||||
});
|
||||
```
|
||||
|
||||
### Task Orchestration for Quorum Changes
|
||||
|
||||
```javascript
|
||||
// Orchestrate complex quorum adjustments
|
||||
await this.mcpTools.task_orchestrate({
|
||||
task: "quorum_adjustment",
|
||||
strategy: "sequential",
|
||||
priority: "high",
|
||||
dependencies: ["network_analysis", "membership_validation", "performance_assessment"],
|
||||
});
|
||||
```
|
||||
|
||||
This Quorum Manager provides intelligent, adaptive quorum management that optimizes for network conditions, performance requirements, and fault tolerance needs while maintaining the safety and liveness properties of distributed consensus protocols.
|
||||
@@ -0,0 +1,66 @@
|
||||
---
|
||||
name: raft-manager
|
||||
type: coordinator
|
||||
color: "#2196F3"
|
||||
description: Manages Raft consensus algorithm with leader election and log replication
|
||||
capabilities:
|
||||
- leader_election
|
||||
- log_replication
|
||||
- follower_management
|
||||
- membership_changes
|
||||
- consistency_verification
|
||||
priority: high
|
||||
hooks:
|
||||
pre: |
|
||||
echo "🗳️ Raft Manager starting: $TASK"
|
||||
# Check cluster health before operations
|
||||
if [[ "$TASK" == *"election"* ]]; then
|
||||
echo "🎯 Preparing leader election process"
|
||||
fi
|
||||
post: |
|
||||
echo "📝 Raft operation complete"
|
||||
# Verify log consistency
|
||||
echo "🔍 Validating log replication and consistency"
|
||||
---
|
||||
|
||||
# Raft Consensus Manager
|
||||
|
||||
Implements and manages the Raft consensus algorithm for distributed systems with strong consistency guarantees.
|
||||
|
||||
## Core Responsibilities
|
||||
|
||||
1. **Leader Election**: Coordinate randomized timeout-based leader selection
|
||||
2. **Log Replication**: Ensure reliable propagation of entries to followers
|
||||
3. **Consistency Management**: Maintain log consistency across all cluster nodes
|
||||
4. **Membership Changes**: Handle dynamic node addition/removal safely
|
||||
5. **Recovery Coordination**: Resynchronize nodes after network partitions
|
||||
|
||||
## Implementation Approach
|
||||
|
||||
### Leader Election Protocol
|
||||
|
||||
- Execute randomized timeout-based elections to prevent split votes
|
||||
- Manage candidate state transitions and vote collection
|
||||
- Maintain leadership through periodic heartbeat messages
|
||||
- Handle split vote scenarios with intelligent backoff
|
||||
|
||||
### Log Replication System
|
||||
|
||||
- Implement append entries protocol for reliable log propagation
|
||||
- Ensure log consistency guarantees across all follower nodes
|
||||
- Track commit index and apply entries to state machine
|
||||
- Execute log compaction through snapshotting mechanisms
|
||||
|
||||
### Fault Tolerance Features
|
||||
|
||||
- Detect leader failures and trigger new elections
|
||||
- Handle network partitions while maintaining consistency
|
||||
- Recover failed nodes to consistent state automatically
|
||||
- Support dynamic cluster membership changes safely
|
||||
|
||||
## Collaboration
|
||||
|
||||
- Coordinate with Quorum Manager for membership adjustments
|
||||
- Interface with Performance Benchmarker for optimization analysis
|
||||
- Integrate with CRDT Synchronizer for eventual consistency scenarios
|
||||
- Synchronize with Security Manager for secure communication
|
||||
@@ -0,0 +1,622 @@
|
||||
---
|
||||
name: security-manager
|
||||
type: security
|
||||
color: "#F44336"
|
||||
description: Implements comprehensive security mechanisms for distributed consensus protocols
|
||||
capabilities:
|
||||
- cryptographic_security
|
||||
- attack_detection
|
||||
- key_management
|
||||
- secure_communication
|
||||
- threat_mitigation
|
||||
priority: critical
|
||||
hooks:
|
||||
pre: |
|
||||
echo "🔐 Security Manager securing: $TASK"
|
||||
# Initialize security protocols
|
||||
if [[ "$TASK" == *"consensus"* ]]; then
|
||||
echo "🛡️ Activating cryptographic verification"
|
||||
fi
|
||||
post: |
|
||||
echo "✅ Security protocols verified"
|
||||
# Run security audit
|
||||
echo "🔍 Conducting post-operation security audit"
|
||||
---
|
||||
|
||||
# Consensus Security Manager
|
||||
|
||||
Implements comprehensive security mechanisms for distributed consensus protocols with advanced threat detection.
|
||||
|
||||
## Core Responsibilities
|
||||
|
||||
1. **Cryptographic Infrastructure**: Deploy threshold cryptography and zero-knowledge proofs
|
||||
2. **Attack Detection**: Identify Byzantine, Sybil, Eclipse, and DoS attacks
|
||||
3. **Key Management**: Handle distributed key generation and rotation protocols
|
||||
4. **Secure Communications**: Ensure TLS 1.3 encryption and message authentication
|
||||
5. **Threat Mitigation**: Implement real-time security countermeasures
|
||||
|
||||
## Technical Implementation
|
||||
|
||||
### Threshold Signature System
|
||||
|
||||
```javascript
|
||||
class ThresholdSignatureSystem {
|
||||
constructor(threshold, totalParties, curveType = "secp256k1") {
|
||||
this.t = threshold; // Minimum signatures required
|
||||
this.n = totalParties; // Total number of parties
|
||||
this.curve = this.initializeCurve(curveType);
|
||||
this.masterPublicKey = null;
|
||||
this.privateKeyShares = new Map();
|
||||
this.publicKeyShares = new Map();
|
||||
this.polynomial = null;
|
||||
}
|
||||
|
||||
// Distributed Key Generation (DKG) Protocol
|
||||
async generateDistributedKeys() {
|
||||
// Phase 1: Each party generates secret polynomial
|
||||
const secretPolynomial = this.generateSecretPolynomial();
|
||||
const commitments = this.generateCommitments(secretPolynomial);
|
||||
|
||||
// Phase 2: Broadcast commitments
|
||||
await this.broadcastCommitments(commitments);
|
||||
|
||||
// Phase 3: Share secret values
|
||||
const secretShares = this.generateSecretShares(secretPolynomial);
|
||||
await this.distributeSecretShares(secretShares);
|
||||
|
||||
// Phase 4: Verify received shares
|
||||
const validShares = await this.verifyReceivedShares();
|
||||
|
||||
// Phase 5: Combine to create master keys
|
||||
this.masterPublicKey = this.combineMasterPublicKey(validShares);
|
||||
|
||||
return {
|
||||
masterPublicKey: this.masterPublicKey,
|
||||
privateKeyShare: this.privateKeyShares.get(this.nodeId),
|
||||
publicKeyShares: this.publicKeyShares,
|
||||
};
|
||||
}
|
||||
|
||||
// Threshold Signature Creation
|
||||
async createThresholdSignature(message, signatories) {
|
||||
if (signatories.length < this.t) {
|
||||
throw new Error("Insufficient signatories for threshold");
|
||||
}
|
||||
|
||||
const partialSignatures = [];
|
||||
|
||||
// Each signatory creates partial signature
|
||||
for (const signatory of signatories) {
|
||||
const partialSig = await this.createPartialSignature(message, signatory);
|
||||
partialSignatures.push({
|
||||
signatory: signatory,
|
||||
signature: partialSig,
|
||||
publicKeyShare: this.publicKeyShares.get(signatory),
|
||||
});
|
||||
}
|
||||
|
||||
// Verify partial signatures
|
||||
const validPartials = partialSignatures.filter((ps) =>
|
||||
this.verifyPartialSignature(message, ps.signature, ps.publicKeyShare),
|
||||
);
|
||||
|
||||
if (validPartials.length < this.t) {
|
||||
throw new Error("Insufficient valid partial signatures");
|
||||
}
|
||||
|
||||
// Combine partial signatures using Lagrange interpolation
|
||||
return this.combinePartialSignatures(message, validPartials.slice(0, this.t));
|
||||
}
|
||||
|
||||
// Signature Verification
|
||||
verifyThresholdSignature(message, signature) {
|
||||
return this.curve.verify(message, signature, this.masterPublicKey);
|
||||
}
|
||||
|
||||
// Lagrange Interpolation for Signature Combination
|
||||
combinePartialSignatures(message, partialSignatures) {
|
||||
const lambda = this.computeLagrangeCoefficients(partialSignatures.map((ps) => ps.signatory));
|
||||
|
||||
let combinedSignature = this.curve.infinity();
|
||||
|
||||
for (let i = 0; i < partialSignatures.length; i++) {
|
||||
const weighted = this.curve.multiply(partialSignatures[i].signature, lambda[i]);
|
||||
combinedSignature = this.curve.add(combinedSignature, weighted);
|
||||
}
|
||||
|
||||
return combinedSignature;
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### Zero-Knowledge Proof System
|
||||
|
||||
```javascript
|
||||
class ZeroKnowledgeProofSystem {
|
||||
constructor() {
|
||||
this.curve = new EllipticCurve("secp256k1");
|
||||
this.hashFunction = "sha256";
|
||||
this.proofCache = new Map();
|
||||
}
|
||||
|
||||
// Prove knowledge of discrete logarithm (Schnorr proof)
|
||||
async proveDiscreteLog(secret, publicKey, challenge = null) {
|
||||
// Generate random nonce
|
||||
const nonce = this.generateSecureRandom();
|
||||
const commitment = this.curve.multiply(this.curve.generator, nonce);
|
||||
|
||||
// Use provided challenge or generate Fiat-Shamir challenge
|
||||
const c = challenge || this.generateChallenge(commitment, publicKey);
|
||||
|
||||
// Compute response
|
||||
const response = (nonce + c * secret) % this.curve.order;
|
||||
|
||||
return {
|
||||
commitment: commitment,
|
||||
challenge: c,
|
||||
response: response,
|
||||
};
|
||||
}
|
||||
|
||||
// Verify discrete logarithm proof
|
||||
verifyDiscreteLogProof(proof, publicKey) {
|
||||
const { commitment, challenge, response } = proof;
|
||||
|
||||
// Verify: g^response = commitment * publicKey^challenge
|
||||
const leftSide = this.curve.multiply(this.curve.generator, response);
|
||||
const rightSide = this.curve.add(commitment, this.curve.multiply(publicKey, challenge));
|
||||
|
||||
return this.curve.equals(leftSide, rightSide);
|
||||
}
|
||||
|
||||
// Range proof for committed values
|
||||
async proveRange(value, commitment, min, max) {
|
||||
if (value < min || value > max) {
|
||||
throw new Error("Value outside specified range");
|
||||
}
|
||||
|
||||
const bitLength = Math.ceil(Math.log2(max - min + 1));
|
||||
const bits = this.valueToBits(value - min, bitLength);
|
||||
|
||||
const proofs = [];
|
||||
let currentCommitment = commitment;
|
||||
|
||||
// Create proof for each bit
|
||||
for (let i = 0; i < bitLength; i++) {
|
||||
const bitProof = await this.proveBit(bits[i], currentCommitment);
|
||||
proofs.push(bitProof);
|
||||
|
||||
// Update commitment for next bit
|
||||
currentCommitment = this.updateCommitmentForNextBit(currentCommitment, bits[i]);
|
||||
}
|
||||
|
||||
return {
|
||||
bitProofs: proofs,
|
||||
range: { min, max },
|
||||
bitLength: bitLength,
|
||||
};
|
||||
}
|
||||
|
||||
// Bulletproof implementation for range proofs
|
||||
async createBulletproof(value, commitment, range) {
|
||||
const n = Math.ceil(Math.log2(range));
|
||||
const generators = this.generateBulletproofGenerators(n);
|
||||
|
||||
// Inner product argument
|
||||
const innerProductProof = await this.createInnerProductProof(value, commitment, generators);
|
||||
|
||||
return {
|
||||
type: "bulletproof",
|
||||
commitment: commitment,
|
||||
proof: innerProductProof,
|
||||
generators: generators,
|
||||
range: range,
|
||||
};
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### Attack Detection System
|
||||
|
||||
```javascript
|
||||
class ConsensusSecurityMonitor {
|
||||
constructor() {
|
||||
this.attackDetectors = new Map();
|
||||
this.behaviorAnalyzer = new BehaviorAnalyzer();
|
||||
this.reputationSystem = new ReputationSystem();
|
||||
this.alertSystem = new SecurityAlertSystem();
|
||||
this.forensicLogger = new ForensicLogger();
|
||||
}
|
||||
|
||||
// Byzantine Attack Detection
|
||||
async detectByzantineAttacks(consensusRound) {
|
||||
const participants = consensusRound.participants;
|
||||
const messages = consensusRound.messages;
|
||||
|
||||
const anomalies = [];
|
||||
|
||||
// Detect contradictory messages from same node
|
||||
const contradictions = this.detectContradictoryMessages(messages);
|
||||
if (contradictions.length > 0) {
|
||||
anomalies.push({
|
||||
type: "CONTRADICTORY_MESSAGES",
|
||||
severity: "HIGH",
|
||||
details: contradictions,
|
||||
});
|
||||
}
|
||||
|
||||
// Detect timing-based attacks
|
||||
const timingAnomalies = this.detectTimingAnomalies(messages);
|
||||
if (timingAnomalies.length > 0) {
|
||||
anomalies.push({
|
||||
type: "TIMING_ATTACK",
|
||||
severity: "MEDIUM",
|
||||
details: timingAnomalies,
|
||||
});
|
||||
}
|
||||
|
||||
// Detect collusion patterns
|
||||
const collusionPatterns = await this.detectCollusion(participants, messages);
|
||||
if (collusionPatterns.length > 0) {
|
||||
anomalies.push({
|
||||
type: "COLLUSION_DETECTED",
|
||||
severity: "HIGH",
|
||||
details: collusionPatterns,
|
||||
});
|
||||
}
|
||||
|
||||
// Update reputation scores
|
||||
for (const participant of participants) {
|
||||
await this.reputationSystem.updateReputation(
|
||||
participant,
|
||||
anomalies.filter((a) => a.details.includes(participant)),
|
||||
);
|
||||
}
|
||||
|
||||
return anomalies;
|
||||
}
|
||||
|
||||
// Sybil Attack Prevention
|
||||
async preventSybilAttacks(nodeJoinRequest) {
|
||||
const identityVerifiers = [
|
||||
this.verifyProofOfWork(nodeJoinRequest),
|
||||
this.verifyStakeProof(nodeJoinRequest),
|
||||
this.verifyIdentityCredentials(nodeJoinRequest),
|
||||
this.checkReputationHistory(nodeJoinRequest),
|
||||
];
|
||||
|
||||
const verificationResults = await Promise.all(identityVerifiers);
|
||||
const passedVerifications = verificationResults.filter((r) => r.valid);
|
||||
|
||||
// Require multiple verification methods
|
||||
const requiredVerifications = 2;
|
||||
if (passedVerifications.length < requiredVerifications) {
|
||||
throw new SecurityError("Insufficient identity verification for node join");
|
||||
}
|
||||
|
||||
// Additional checks for suspicious patterns
|
||||
const suspiciousPatterns = await this.detectSybilPatterns(nodeJoinRequest);
|
||||
if (suspiciousPatterns.length > 0) {
|
||||
await this.alertSystem.raiseSybilAlert(nodeJoinRequest, suspiciousPatterns);
|
||||
throw new SecurityError("Potential Sybil attack detected");
|
||||
}
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
// Eclipse Attack Protection
|
||||
async protectAgainstEclipseAttacks(nodeId, connectionRequests) {
|
||||
const diversityMetrics = this.analyzePeerDiversity(connectionRequests);
|
||||
|
||||
// Check for geographic diversity
|
||||
if (diversityMetrics.geographicEntropy < 2.0) {
|
||||
await this.enforceGeographicDiversity(nodeId, connectionRequests);
|
||||
}
|
||||
|
||||
// Check for network diversity (ASNs)
|
||||
if (diversityMetrics.networkEntropy < 1.5) {
|
||||
await this.enforceNetworkDiversity(nodeId, connectionRequests);
|
||||
}
|
||||
|
||||
// Limit connections from single source
|
||||
const maxConnectionsPerSource = 3;
|
||||
const groupedConnections = this.groupConnectionsBySource(connectionRequests);
|
||||
|
||||
for (const [source, connections] of groupedConnections) {
|
||||
if (connections.length > maxConnectionsPerSource) {
|
||||
await this.alertSystem.raiseEclipseAlert(nodeId, source, connections);
|
||||
// Randomly select subset of connections
|
||||
const allowedConnections = this.randomlySelectConnections(
|
||||
connections,
|
||||
maxConnectionsPerSource,
|
||||
);
|
||||
this.blockExcessConnections(connections.filter((c) => !allowedConnections.includes(c)));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// DoS Attack Mitigation
|
||||
async mitigateDoSAttacks(incomingRequests) {
|
||||
const rateLimiter = new AdaptiveRateLimiter();
|
||||
const requestAnalyzer = new RequestPatternAnalyzer();
|
||||
|
||||
// Analyze request patterns for anomalies
|
||||
const anomalousRequests = await requestAnalyzer.detectAnomalies(incomingRequests);
|
||||
|
||||
if (anomalousRequests.length > 0) {
|
||||
// Implement progressive response strategies
|
||||
const mitigationStrategies = [
|
||||
this.applyRateLimiting(anomalousRequests),
|
||||
this.implementPriorityQueuing(incomingRequests),
|
||||
this.activateCircuitBreakers(anomalousRequests),
|
||||
this.deployTemporaryBlacklisting(anomalousRequests),
|
||||
];
|
||||
|
||||
await Promise.all(mitigationStrategies);
|
||||
}
|
||||
|
||||
return this.filterLegitimateRequests(incomingRequests, anomalousRequests);
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### Secure Key Management
|
||||
|
||||
```javascript
|
||||
class SecureKeyManager {
|
||||
constructor() {
|
||||
this.keyStore = new EncryptedKeyStore();
|
||||
this.rotationScheduler = new KeyRotationScheduler();
|
||||
this.distributionProtocol = new SecureDistributionProtocol();
|
||||
this.backupSystem = new SecureBackupSystem();
|
||||
}
|
||||
|
||||
// Distributed Key Generation
|
||||
async generateDistributedKey(participants, threshold) {
|
||||
const dkgProtocol = new DistributedKeyGeneration(threshold, participants.length);
|
||||
|
||||
// Phase 1: Initialize DKG ceremony
|
||||
const ceremony = await dkgProtocol.initializeCeremony(participants);
|
||||
|
||||
// Phase 2: Each participant contributes randomness
|
||||
const contributions = await this.collectContributions(participants, ceremony);
|
||||
|
||||
// Phase 3: Verify contributions
|
||||
const validContributions = await this.verifyContributions(contributions);
|
||||
|
||||
// Phase 4: Combine contributions to generate master key
|
||||
const masterKey = await dkgProtocol.combineMasterKey(validContributions);
|
||||
|
||||
// Phase 5: Generate and distribute key shares
|
||||
const keyShares = await dkgProtocol.generateKeyShares(masterKey, participants);
|
||||
|
||||
// Phase 6: Secure distribution of key shares
|
||||
await this.securelyDistributeShares(keyShares, participants);
|
||||
|
||||
return {
|
||||
masterPublicKey: masterKey.publicKey,
|
||||
ceremony: ceremony,
|
||||
participants: participants,
|
||||
};
|
||||
}
|
||||
|
||||
// Key Rotation Protocol
|
||||
async rotateKeys(currentKeyId, participants) {
|
||||
// Generate new key using proactive secret sharing
|
||||
const newKey = await this.generateDistributedKey(
|
||||
participants,
|
||||
Math.floor(participants.length / 2) + 1,
|
||||
);
|
||||
|
||||
// Create transition period where both keys are valid
|
||||
const transitionPeriod = 24 * 60 * 60 * 1000; // 24 hours
|
||||
await this.scheduleKeyTransition(currentKeyId, newKey.masterPublicKey, transitionPeriod);
|
||||
|
||||
// Notify all participants about key rotation
|
||||
await this.notifyKeyRotation(participants, newKey);
|
||||
|
||||
// Gradually phase out old key
|
||||
setTimeout(async () => {
|
||||
await this.deactivateKey(currentKeyId);
|
||||
}, transitionPeriod);
|
||||
|
||||
return newKey;
|
||||
}
|
||||
|
||||
// Secure Key Backup and Recovery
|
||||
async backupKeyShares(keyShares, backupThreshold) {
|
||||
const backupShares = this.createBackupShares(keyShares, backupThreshold);
|
||||
|
||||
// Encrypt backup shares with different passwords
|
||||
const encryptedBackups = await Promise.all(
|
||||
backupShares.map(async (share, index) => ({
|
||||
id: `backup_${index}`,
|
||||
encryptedShare: await this.encryptBackupShare(share, `password_${index}`),
|
||||
checksum: this.computeChecksum(share),
|
||||
})),
|
||||
);
|
||||
|
||||
// Distribute backups to secure locations
|
||||
await this.distributeBackups(encryptedBackups);
|
||||
|
||||
return encryptedBackups.map((backup) => ({
|
||||
id: backup.id,
|
||||
checksum: backup.checksum,
|
||||
}));
|
||||
}
|
||||
|
||||
async recoverFromBackup(backupIds, passwords) {
|
||||
const backupShares = [];
|
||||
|
||||
// Retrieve and decrypt backup shares
|
||||
for (let i = 0; i < backupIds.length; i++) {
|
||||
const encryptedBackup = await this.retrieveBackup(backupIds[i]);
|
||||
const decryptedShare = await this.decryptBackupShare(
|
||||
encryptedBackup.encryptedShare,
|
||||
passwords[i],
|
||||
);
|
||||
|
||||
// Verify integrity
|
||||
const checksum = this.computeChecksum(decryptedShare);
|
||||
if (checksum !== encryptedBackup.checksum) {
|
||||
throw new Error(`Backup integrity check failed for ${backupIds[i]}`);
|
||||
}
|
||||
|
||||
backupShares.push(decryptedShare);
|
||||
}
|
||||
|
||||
// Reconstruct original key from backup shares
|
||||
return this.reconstructKeyFromBackup(backupShares);
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## MCP Integration Hooks
|
||||
|
||||
### Security Monitoring Integration
|
||||
|
||||
```javascript
|
||||
// Store security metrics in memory
|
||||
await this.mcpTools.memory_usage({
|
||||
action: "store",
|
||||
key: `security_metrics_${Date.now()}`,
|
||||
value: JSON.stringify({
|
||||
attacksDetected: this.attacksDetected,
|
||||
reputationScores: Array.from(this.reputationSystem.scores.entries()),
|
||||
keyRotationEvents: this.keyRotationHistory,
|
||||
}),
|
||||
namespace: "consensus_security",
|
||||
ttl: 86400000, // 24 hours
|
||||
});
|
||||
|
||||
// Performance monitoring for security operations
|
||||
await this.mcpTools.metrics_collect({
|
||||
components: [
|
||||
"signature_verification_time",
|
||||
"zkp_generation_time",
|
||||
"attack_detection_latency",
|
||||
"key_rotation_overhead",
|
||||
],
|
||||
});
|
||||
```
|
||||
|
||||
### Neural Pattern Learning for Security
|
||||
|
||||
```javascript
|
||||
// Learn attack patterns
|
||||
await this.mcpTools.neural_patterns({
|
||||
action: "learn",
|
||||
operation: "attack_pattern_recognition",
|
||||
outcome: JSON.stringify({
|
||||
attackType: detectedAttack.type,
|
||||
patterns: detectedAttack.patterns,
|
||||
mitigation: appliedMitigation,
|
||||
}),
|
||||
});
|
||||
|
||||
// Predict potential security threats
|
||||
const threatPrediction = await this.mcpTools.neural_predict({
|
||||
modelId: "security_threat_model",
|
||||
input: JSON.stringify(currentSecurityMetrics),
|
||||
});
|
||||
```
|
||||
|
||||
## Integration with Consensus Protocols
|
||||
|
||||
### Byzantine Consensus Security
|
||||
|
||||
```javascript
|
||||
class ByzantineConsensusSecurityWrapper {
|
||||
constructor(byzantineCoordinator, securityManager) {
|
||||
this.consensus = byzantineCoordinator;
|
||||
this.security = securityManager;
|
||||
}
|
||||
|
||||
async secureConsensusRound(proposal) {
|
||||
// Pre-consensus security checks
|
||||
await this.security.validateProposal(proposal);
|
||||
|
||||
// Execute consensus with security monitoring
|
||||
const result = await this.executeSecureConsensus(proposal);
|
||||
|
||||
// Post-consensus security analysis
|
||||
await this.security.analyzeConsensusRound(result);
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
async executeSecureConsensus(proposal) {
|
||||
// Sign proposal with threshold signature
|
||||
const signedProposal = await this.security.thresholdSignature.sign(proposal);
|
||||
|
||||
// Monitor consensus execution for attacks
|
||||
const monitor = this.security.startConsensusMonitoring();
|
||||
|
||||
try {
|
||||
// Execute Byzantine consensus
|
||||
const result = await this.consensus.initiateConsensus(signedProposal);
|
||||
|
||||
// Verify result integrity
|
||||
await this.security.verifyConsensusResult(result);
|
||||
|
||||
return result;
|
||||
} finally {
|
||||
monitor.stop();
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## Security Testing and Validation
|
||||
|
||||
### Penetration Testing Framework
|
||||
|
||||
```javascript
|
||||
class ConsensusPenetrationTester {
|
||||
constructor(securityManager) {
|
||||
this.security = securityManager;
|
||||
this.testScenarios = new Map();
|
||||
this.vulnerabilityDatabase = new VulnerabilityDatabase();
|
||||
}
|
||||
|
||||
async runSecurityTests() {
|
||||
const testResults = [];
|
||||
|
||||
// Test 1: Byzantine attack simulation
|
||||
testResults.push(await this.testByzantineAttack());
|
||||
|
||||
// Test 2: Sybil attack simulation
|
||||
testResults.push(await this.testSybilAttack());
|
||||
|
||||
// Test 3: Eclipse attack simulation
|
||||
testResults.push(await this.testEclipseAttack());
|
||||
|
||||
// Test 4: DoS attack simulation
|
||||
testResults.push(await this.testDoSAttack());
|
||||
|
||||
// Test 5: Cryptographic security tests
|
||||
testResults.push(await this.testCryptographicSecurity());
|
||||
|
||||
return this.generateSecurityReport(testResults);
|
||||
}
|
||||
|
||||
async testByzantineAttack() {
|
||||
// Simulate malicious nodes sending contradictory messages
|
||||
const maliciousNodes = this.createMaliciousNodes(3);
|
||||
const attack = new ByzantineAttackSimulator(maliciousNodes);
|
||||
|
||||
const startTime = Date.now();
|
||||
const detectionTime = await this.security.detectByzantineAttacks(attack.execute());
|
||||
const endTime = Date.now();
|
||||
|
||||
return {
|
||||
test: "Byzantine Attack",
|
||||
detected: detectionTime !== null,
|
||||
detectionLatency: detectionTime ? endTime - startTime : null,
|
||||
mitigation: await this.security.mitigateByzantineAttack(attack),
|
||||
};
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
This security manager provides comprehensive protection for distributed consensus protocols with enterprise-grade cryptographic security, advanced threat detection, and robust key management capabilities.
|
||||
Reference in New Issue
Block a user