/** * Memory Optimization - Advanced memory management and optimization * * Provides intelligent memory optimization, garbage collection, compression, * and performance tuning for the AI Integration memory system. */ import { EventEmitter } from 'eventemitter3'; import { MemoryEntry, OperationResult } from '../types'; export interface MemoryOptimizationConfig { maxMemoryUsage: number; // MB compressionThreshold: number; // MB gcInterval: number; // milliseconds retentionPolicies: RetentionPolicy[]; optimizationStrategies: OptimizationStrategy[]; } export interface RetentionPolicy { name: string; condition: (entry: MemoryEntry) => boolean; retentionDays: number; priority: number; } export interface OptimizationStrategy { name: string; trigger: (metrics: MemoryMetrics) => boolean; action: (optimizer: MemoryOptimization) => Promise; cooldownMs: number; } export interface MemoryMetrics { totalEntries: number; totalSizeBytes: number; memoryUsageMB: number; compressionRatio: number; hitRate: number; avgAccessTime: number; fragmentationRatio: number; gcFrequency: number; oldestEntryAge: number; // days newestEntryAge: number; // days } export interface OptimizationResult { strategy: string; entriesProcessed: number; bytesReclaimed: number; executionTimeMs: number; metricsImprovement: Partial; } export class MemoryOptimization extends EventEmitter { private config: MemoryOptimizationConfig; private metrics: MemoryMetrics; private memoryEntries: Map = new Map(); private accessLog: Map< string, { count: number; lastAccess: Date; avgTime: number } > = new Map(); private compressionCache: Map = new Map(); private gcTimer: NodeJS.Timeout | null = null; private strategyLastExecuted: Map = new Map(); constructor(config: MemoryOptimizationConfig) { super(); this.config = config; this.metrics = this.initializeMetrics(); } async initialize(): Promise { try { this.startGarbageCollection(); this.setupOptimizationStrategies(); return { success: true, message: 'Memory Optimization initialized successfully', }; } catch (error) { return { success: false, message: `Initialization failed: ${(error as Error).message}`, error, }; } } private initializeMetrics(): MemoryMetrics { return { totalEntries: 0, totalSizeBytes: 0, memoryUsageMB: 0, compressionRatio: 1.0, hitRate: 1.0, avgAccessTime: 0, fragmentationRatio: 0, gcFrequency: 0, oldestEntryAge: 0, newestEntryAge: 0, }; } /** * Register memory entries for optimization */ registerEntries(entries: Map): void { this.memoryEntries = entries; this.updateMetrics(); this.emit('entries-registered', { count: entries.size }); } /** * Track memory access for optimization decisions */ trackAccess(entryId: string, accessTime: number): void { const existing = this.accessLog.get(entryId); if (existing) { existing.count++; existing.lastAccess = new Date(); existing.avgTime = (existing.avgTime * (existing.count - 1) + accessTime) / existing.count; } else { this.accessLog.set(entryId, { count: 1, lastAccess: new Date(), avgTime: accessTime, }); } this.updateMetrics(); } /** * Run comprehensive memory optimization */ async optimize(): Promise { const results: OptimizationResult[] = []; this.emit('optimization-started', this.metrics); for (const strategy of this.config.optimizationStrategies) { if (this.shouldExecuteStrategy(strategy)) { const result = await this.executeStrategy(strategy); results.push(result); this.strategyLastExecuted.set(strategy.name, new Date()); } } this.updateMetrics(); this.emit('optimization-completed', { results, finalMetrics: this.metrics, }); return results; } private shouldExecuteStrategy(strategy: OptimizationStrategy): boolean { // Check cooldown const lastExecution = this.strategyLastExecuted.get(strategy.name); if (lastExecution) { const timeSince = Date.now() - lastExecution.getTime(); if (timeSince < strategy.cooldownMs) { return false; } } // Check trigger condition return strategy.trigger(this.metrics); } private async executeStrategy( strategy: OptimizationStrategy ): Promise { const startTime = Date.now(); const initialMetrics = { ...this.metrics }; try { await strategy.action(this); const executionTime = Date.now() - startTime; this.updateMetrics(); return { strategy: strategy.name, entriesProcessed: this.memoryEntries.size, bytesReclaimed: Math.max( 0, initialMetrics.totalSizeBytes - this.metrics.totalSizeBytes ), executionTimeMs: executionTime, metricsImprovement: { totalSizeBytes: this.metrics.totalSizeBytes - initialMetrics.totalSizeBytes, memoryUsageMB: this.metrics.memoryUsageMB - initialMetrics.memoryUsageMB, compressionRatio: this.metrics.compressionRatio - initialMetrics.compressionRatio, fragmentationRatio: this.metrics.fragmentationRatio - initialMetrics.fragmentationRatio, }, }; } catch (error) { const errorMessage = error instanceof Error ? error.message : 'Unknown error'; console.warn( `Strategy "${strategy.name}" execution failed: ${errorMessage}` ); this.emit('strategy-failed', { strategy: strategy.name, error }); return { strategy: strategy.name, entriesProcessed: 0, bytesReclaimed: 0, executionTimeMs: Date.now() - startTime, metricsImprovement: {}, }; } } /** * Compress memory entries using various techniques */ async compressEntries(compressionLevel: number = 1): Promise { let compressedCount = 0; const compressionThreshold = 1024; // 1KB minimum size to compress for (const [entryId, entry] of this.memoryEntries.entries()) { const entrySize = this.calculateEntrySize(entry); if ( entrySize > compressionThreshold && !this.compressionCache.has(entryId) ) { const compressed = await this.compressEntry(entry, compressionLevel); if (compressed.size < entrySize * 0.8) { // Only keep if 20%+ reduction this.compressionCache.set(entryId, compressed); compressedCount++; } } } this.emit('compression-completed', { compressedCount }); return compressedCount; } private async compressEntry(entry: MemoryEntry, level: number): Promise { // Simulate compression - in real implementation, use actual compression library const serialized = JSON.stringify(entry); const compressionRatio = Math.max(0.3, 1 - level * 0.2); return { compressed: serialized, originalSize: serialized.length, size: Math.floor(serialized.length * compressionRatio), algorithm: `level-${level}`, timestamp: new Date(), }; } /** * Garbage collect old and unused entries */ async garbageCollect(): Promise { let collectedCount = 0; const now = new Date(); for (const policy of this.config.retentionPolicies.sort( (a, b) => b.priority - a.priority )) { for (const [entryId, entry] of this.memoryEntries.entries()) { if (policy.condition(entry)) { const ageInDays = (now.getTime() - entry.createdAt.getTime()) / (1000 * 60 * 60 * 24); if (ageInDays > policy.retentionDays) { this.memoryEntries.delete(entryId); this.accessLog.delete(entryId); this.compressionCache.delete(entryId); collectedCount++; } } } } this.metrics.gcFrequency++; this.emit('garbage-collection-completed', { collectedCount }); return collectedCount; } /** * Defragment memory to reduce fragmentation */ async defragment(): Promise { // Simulate defragmentation by reorganizing entries const entries = Array.from(this.memoryEntries.entries()); // Sort by access frequency and size for optimal layout entries.sort(([aId, aEntry], [bId, bEntry]) => { const aAccess = this.accessLog.get(aId)?.count || 0; const bAccess = this.accessLog.get(bId)?.count || 0; const aSize = this.calculateEntrySize(aEntry); const bSize = this.calculateEntrySize(bEntry); // Prioritize frequently accessed, smaller entries return bAccess / bSize - aAccess / aSize; }); // Rebuild the map with optimized layout this.memoryEntries.clear(); entries.forEach(([id, entry]) => { this.memoryEntries.set(id, entry); }); const fragmentationReduction = Math.random() * 0.3 + 0.1; // 10-40% reduction this.emit('defragmentation-completed', { fragmentationReduction }); return entries.length; } /** * Analyze access patterns for optimization insights */ analyzeAccessPatterns(): any { const patterns = { hotEntries: [], coldEntries: [], accessDistribution: {}, temporalPatterns: {}, sizeDistribution: {}, }; // Identify hot and cold entries const accessThreshold = this.calculateAccessThreshold(); for (const [entryId, entry] of this.memoryEntries.entries()) { const accessInfo = this.accessLog.get(entryId); const accessCount = accessInfo?.count || 0; const entrySize = this.calculateEntrySize(entry); if (accessCount > accessThreshold) { patterns.hotEntries.push({ id: entryId, accessCount, size: entrySize, lastAccess: accessInfo?.lastAccess, avgAccessTime: accessInfo?.avgTime, }); } else if (accessCount === 0) { patterns.coldEntries.push({ id: entryId, age: (Date.now() - entry.createdAt.getTime()) / (1000 * 60 * 60 * 24), size: entrySize, }); } } // Sort by relevance patterns.hotEntries.sort((a: any, b: any) => b.accessCount - a.accessCount); patterns.coldEntries.sort((a: any, b: any) => b.age - a.age); return patterns; } private calculateAccessThreshold(): number { const accessCounts = Array.from(this.accessLog.values()).map( info => info.count ); if (accessCounts.length === 0) return 0; const sum = accessCounts.reduce((a, b) => a + b, 0); const mean = sum / accessCounts.length; // Threshold is mean + standard deviation const variance = accessCounts.reduce((sum, count) => sum + Math.pow(count - mean, 2), 0) / accessCounts.length; const stdDev = Math.sqrt(variance); return Math.floor(mean + stdDev); } /** * Preload frequently accessed entries */ async preloadOptimizations(): Promise { const patterns = this.analyzeAccessPatterns(); // Preload hot entries into compression cache for (const hotEntry of patterns.hotEntries.slice(0, 100)) { const entry = this.memoryEntries.get(hotEntry.id); if (entry && !this.compressionCache.has(hotEntry.id)) { const compressed = await this.compressEntry(entry, 2); this.compressionCache.set(hotEntry.id, compressed); } } this.emit('preload-completed', { preloadedCount: Math.min(patterns.hotEntries.length, 100), }); } private calculateEntrySize(entry: MemoryEntry): number { // Estimate memory size of entry const serialized = JSON.stringify(entry); return serialized.length * 2; // Rough estimate for Unicode } private updateMetrics(): void { const entries = Array.from(this.memoryEntries.values()); const now = new Date(); this.metrics.totalEntries = entries.length; this.metrics.totalSizeBytes = entries.reduce( (sum, entry) => sum + this.calculateEntrySize(entry), 0 ); this.metrics.memoryUsageMB = this.metrics.totalSizeBytes / (1024 * 1024); // Compression ratio const compressedSize = Array.from(this.compressionCache.values()).reduce( (sum, compressed) => sum + compressed.size, 0 ); const originalCompressedSize = Array.from( this.compressionCache.values() ).reduce((sum, compressed) => sum + compressed.originalSize, 0); this.metrics.compressionRatio = originalCompressedSize > 0 ? compressedSize / originalCompressedSize : 1; // Hit rate (entries found in cache vs total requests) const totalAccess = Array.from(this.accessLog.values()).reduce( (sum, info) => sum + info.count, 0 ); const cacheHits = Array.from(this.accessLog.entries()).filter(([id]) => this.compressionCache.has(id) ).length; this.metrics.hitRate = totalAccess > 0 ? cacheHits / totalAccess : 1; // Average access time const accessTimes = Array.from(this.accessLog.values()) .map(info => info.avgTime) .filter(time => time > 0); this.metrics.avgAccessTime = accessTimes.length > 0 ? accessTimes.reduce((a, b) => a + b) / accessTimes.length : 0; // Age statistics if (entries.length > 0) { const ages = entries.map( entry => (now.getTime() - entry.createdAt.getTime()) / (1000 * 60 * 60 * 24) ); this.metrics.oldestEntryAge = Math.max(...ages); this.metrics.newestEntryAge = Math.min(...ages); } // Fragmentation (simplified calculation) this.metrics.fragmentationRatio = Math.random() * 0.3; // Placeholder this.emit('metrics-updated', this.metrics); } private setupOptimizationStrategies(): void { // Auto-run optimization based on metrics setInterval(() => { if (this.metrics.memoryUsageMB > this.config.maxMemoryUsage * 0.8) { this.optimize(); } }, this.config.gcInterval); } private startGarbageCollection(): void { this.gcTimer = setInterval(() => { this.garbageCollect(); }, this.config.gcInterval); } /** * Get current optimization metrics */ getMetrics(): MemoryMetrics { this.updateMetrics(); return { ...this.metrics }; } /** * Generate optimization recommendations */ getRecommendations(): string[] { const recommendations: string[] = []; if (this.metrics.memoryUsageMB > this.config.maxMemoryUsage * 0.9) { recommendations.push( 'Memory usage is critically high. Consider aggressive garbage collection.' ); } if (this.metrics.compressionRatio > 0.8) { recommendations.push( 'Compression ratio is low. Consider stronger compression algorithms.' ); } if (this.metrics.hitRate < 0.5) { recommendations.push( 'Cache hit rate is low. Consider preloading hot entries.' ); } if (this.metrics.fragmentationRatio > 0.3) { recommendations.push( 'Memory fragmentation is high. Consider defragmentation.' ); } const patterns = this.analyzeAccessPatterns(); if (patterns.coldEntries.length > this.metrics.totalEntries * 0.5) { recommendations.push( 'Many entries are never accessed. Consider more aggressive retention policies.' ); } return recommendations; } async shutdown(): Promise { if (this.gcTimer) { clearInterval(this.gcTimer); } this.memoryEntries.clear(); this.accessLog.clear(); this.compressionCache.clear(); this.strategyLastExecuted.clear(); return { success: true, message: 'Memory Optimization shutdown completed', }; } }