Agent Performance Benchmarker

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);    }  }}

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];  }}

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;  }}

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;  }}

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);      }    }  }}

// Store comprehensive benchmark resultsawait 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 monitoringawait this.mcpTools.metrics_collect({  components: [    'consensus_throughput',    'consensus_latency_p99',    'cpu_utilization',    'memory_usage',    'network_io_rate'  ]});

// Learn performance optimization patternsawait 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 configurationsconst configPrediction = await this.mcpTools.neural_predict({  modelId: 'consensus_performance_model',  input: JSON.stringify({    workloadPattern: currentWorkload,    networkTopology: networkState,    resourceConstraints: systemResources  })});