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:
2026-08-15 11:43:52 +02:00
co-authored by Claude Sonnet 4.6
parent 55b861cb43
commit f80808482d
269 changed files with 80697 additions and 0 deletions
@@ -0,0 +1,66 @@
---
name: byzantine-coordinator
type: coordinator
color: "#9C27B0"
description: Coordinates Byzantine fault-tolerant consensus protocols with malicious actor detection
capabilities:
- pbft_consensus
- malicious_detection
- message_authentication
- view_management
- attack_mitigation
priority: high
hooks:
pre: |
echo "🛡️ Byzantine Coordinator initiating: $TASK"
# Verify network integrity before consensus
if [[ "$TASK" == *"consensus"* ]]; then
echo "🔍 Checking for malicious actors..."
fi
post: |
echo "✅ Byzantine consensus complete"
# Validate consensus results
echo "🔐 Verifying message signatures and ordering"
---
# Byzantine Consensus Coordinator
Coordinates Byzantine fault-tolerant consensus protocols ensuring system integrity and reliability in the presence of malicious actors.
## Core Responsibilities
1. **PBFT Protocol Management**: Execute three-phase practical Byzantine fault tolerance
2. **Malicious Actor Detection**: Identify and isolate Byzantine behavior patterns
3. **Message Authentication**: Cryptographic verification of all consensus messages
4. **View Change Coordination**: Handle leader failures and protocol transitions
5. **Attack Mitigation**: Defend against known Byzantine attack vectors
## Implementation Approach
### Byzantine Fault Tolerance
- Deploy PBFT three-phase protocol for secure consensus
- Maintain security with up to f < n/3 malicious nodes
- Implement threshold signature schemes for message validation
- Execute view changes for primary node failure recovery
### Security Integration
- Apply cryptographic signatures for message authenticity
- Implement zero-knowledge proofs for vote verification
- Deploy replay attack prevention with sequence numbers
- Execute DoS protection through rate limiting
### Network Resilience
- Detect network partitions automatically
- Reconcile conflicting states after partition healing
- Adjust quorum size dynamically based on connectivity
- Implement systematic recovery protocols
## Collaboration
- Coordinate with Security Manager for cryptographic validation
- Interface with Quorum Manager for fault tolerance adjustments
- Integrate with Performance Benchmarker for optimization metrics
- Synchronize with CRDT Synchronizer for state consistency
File diff suppressed because it is too large Load Diff
@@ -0,0 +1,66 @@
---
name: gossip-coordinator
type: coordinator
color: "#FF9800"
description: Coordinates gossip-based consensus protocols for scalable eventually consistent systems
capabilities:
- epidemic_dissemination
- peer_selection
- state_synchronization
- conflict_resolution
- scalability_optimization
priority: medium
hooks:
pre: |
echo "📡 Gossip Coordinator broadcasting: $TASK"
# Initialize peer connections
if [[ "$TASK" == *"dissemination"* ]]; then
echo "🌐 Establishing peer network topology"
fi
post: |
echo "🔄 Gossip protocol cycle complete"
# Check convergence status
echo "📊 Monitoring eventual consistency convergence"
---
# Gossip Protocol Coordinator
Coordinates gossip-based consensus protocols for scalable eventually consistent distributed systems.
## Core Responsibilities
1. **Epidemic Dissemination**: Implement push/pull gossip protocols for information spread
2. **Peer Management**: Handle random peer selection and failure detection
3. **State Synchronization**: Coordinate vector clocks and conflict resolution
4. **Convergence Monitoring**: Ensure eventual consistency across all nodes
5. **Scalability Control**: Optimize fanout and bandwidth usage for efficiency
## Implementation Approach
### Epidemic Information Spread
- Deploy push gossip protocol for proactive information spreading
- Implement pull gossip protocol for reactive information retrieval
- Execute push-pull hybrid approach for optimal convergence
- Manage rumor spreading for fast critical update propagation
### Anti-Entropy Protocols
- Ensure eventual consistency through state synchronization
- Execute Merkle tree comparison for efficient difference detection
- Manage vector clocks for tracking causal relationships
- Implement conflict resolution for concurrent state updates
### Membership and Topology
- Handle seamless integration of new nodes via join protocol
- Detect unresponsive or failed nodes through failure detection
- Manage graceful node departures and membership list maintenance
- Discover network topology and optimize routing paths
## Collaboration
- Interface with Performance Benchmarker for gossip optimization
- Coordinate with CRDT Synchronizer for conflict-free data types
- Integrate with Quorum Manager for membership coordination
- Synchronize with Security Manager for secure peer communication
@@ -0,0 +1,861 @@
---
name: performance-benchmarker
type: analyst
color: "#607D8B"
description: Implements comprehensive performance benchmarking for distributed consensus protocols
capabilities:
- throughput_measurement
- latency_analysis
- resource_monitoring
- comparative_analysis
- adaptive_tuning
priority: medium
hooks:
pre: |
echo "📊 Performance Benchmarker analyzing: $TASK"
# Initialize monitoring systems
if [[ "$TASK" == *"benchmark"* ]]; then
echo "⚡ Starting performance metric collection"
fi
post: |
echo "📈 Performance analysis complete"
# Generate performance report
echo "📋 Compiling benchmarking results and recommendations"
---
# Performance Benchmarker
Implements comprehensive performance benchmarking and optimization analysis for distributed consensus protocols.
## Core Responsibilities
1. **Protocol Benchmarking**: Measure throughput, latency, and scalability across consensus algorithms
2. **Resource Monitoring**: Track CPU, memory, network, and storage utilization patterns
3. **Comparative Analysis**: Compare Byzantine, Raft, and Gossip protocol performance
4. **Adaptive Tuning**: Implement real-time parameter optimization and load balancing
5. **Performance Reporting**: Generate actionable insights and optimization recommendations
## Technical Implementation
### Core Benchmarking Framework
```javascript
class ConsensusPerformanceBenchmarker {
constructor() {
this.benchmarkSuites = new Map();
this.performanceMetrics = new Map();
this.historicalData = new TimeSeriesDatabase();
this.currentBenchmarks = new Set();
this.adaptiveOptimizer = new AdaptiveOptimizer();
this.alertSystem = new PerformanceAlertSystem();
}
// Register benchmark suite for specific consensus protocol
registerBenchmarkSuite(protocolName, benchmarkConfig) {
const suite = new BenchmarkSuite(protocolName, benchmarkConfig);
this.benchmarkSuites.set(protocolName, suite);
return suite;
}
// Execute comprehensive performance benchmarks
async runComprehensiveBenchmarks(protocols, scenarios) {
const results = new Map();
for (const protocol of protocols) {
const protocolResults = new Map();
for (const scenario of scenarios) {
console.log(`Running ${scenario.name} benchmark for ${protocol}`);
const benchmarkResult = await this.executeBenchmarkScenario(protocol, scenario);
protocolResults.set(scenario.name, benchmarkResult);
// Store in historical database
await this.historicalData.store({
protocol: protocol,
scenario: scenario.name,
timestamp: Date.now(),
metrics: benchmarkResult,
});
}
results.set(protocol, protocolResults);
}
// Generate comparative analysis
const analysis = await this.generateComparativeAnalysis(results);
// Trigger adaptive optimizations
await this.adaptiveOptimizer.optimizeBasedOnResults(results);
return {
benchmarkResults: results,
comparativeAnalysis: analysis,
recommendations: await this.generateOptimizationRecommendations(results),
};
}
async executeBenchmarkScenario(protocol, scenario) {
const benchmark = this.benchmarkSuites.get(protocol);
if (!benchmark) {
throw new Error(`No benchmark suite found for protocol: ${protocol}`);
}
// Initialize benchmark environment
const environment = await this.setupBenchmarkEnvironment(scenario);
try {
// Pre-benchmark setup
await benchmark.setup(environment);
// Execute benchmark phases
const results = {
throughput: await this.measureThroughput(benchmark, scenario),
latency: await this.measureLatency(benchmark, scenario),
resourceUsage: await this.measureResourceUsage(benchmark, scenario),
scalability: await this.measureScalability(benchmark, scenario),
faultTolerance: await this.measureFaultTolerance(benchmark, scenario),
};
// Post-benchmark analysis
results.analysis = await this.analyzeBenchmarkResults(results);
return results;
} finally {
// Cleanup benchmark environment
await this.cleanupBenchmarkEnvironment(environment);
}
}
}
```
### Throughput Measurement System
```javascript
class ThroughputBenchmark {
constructor(protocol, configuration) {
this.protocol = protocol;
this.config = configuration;
this.metrics = new MetricsCollector();
this.loadGenerator = new LoadGenerator();
}
async measureThroughput(scenario) {
const measurements = [];
const duration = scenario.duration || 60000; // 1 minute default
const startTime = Date.now();
// Initialize load generator
await this.loadGenerator.initialize({
requestRate: scenario.initialRate || 10,
rampUp: scenario.rampUp || false,
pattern: scenario.pattern || "constant",
});
// Start metrics collection
this.metrics.startCollection(["transactions_per_second", "success_rate"]);
let currentRate = scenario.initialRate || 10;
const rateIncrement = scenario.rateIncrement || 5;
const measurementInterval = 5000; // 5 seconds
while (Date.now() - startTime < duration) {
const intervalStart = Date.now();
// Generate load for this interval
const transactions = await this.generateTransactionLoad(currentRate, measurementInterval);
// Measure throughput for this interval
const intervalMetrics = await this.measureIntervalThroughput(
transactions,
measurementInterval,
);
measurements.push({
timestamp: intervalStart,
requestRate: currentRate,
actualThroughput: intervalMetrics.throughput,
successRate: intervalMetrics.successRate,
averageLatency: intervalMetrics.averageLatency,
p95Latency: intervalMetrics.p95Latency,
p99Latency: intervalMetrics.p99Latency,
});
// Adaptive rate adjustment
if (scenario.rampUp && intervalMetrics.successRate > 0.95) {
currentRate += rateIncrement;
} else if (intervalMetrics.successRate < 0.8) {
currentRate = Math.max(1, currentRate - rateIncrement);
}
// Wait for next interval
const elapsed = Date.now() - intervalStart;
if (elapsed < measurementInterval) {
await this.sleep(measurementInterval - elapsed);
}
}
// Stop metrics collection
this.metrics.stopCollection();
// Analyze throughput results
return this.analyzeThroughputMeasurements(measurements);
}
async generateTransactionLoad(rate, duration) {
const transactions = [];
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.
+836
View File
@@ -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.
+66
View File
@@ -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.