storage-node-network.md

Storage Node Network (SNN)

Overview

The Storage Node Network (SNN) implements a distributed high-speed cache layer functioning as network RAM for the DataHive ecosystem. Through intelligent node pairing and predictive workload scheduling, SNNs optimize data availability for connected nodes' planned operations, particularly supporting Legal Intelligence, Legal Knowledge, and Consent Intelligence model operations.

Architecture

Node Components

interface StorageNode {
  // Core functionality
  id: string;
  region: string;
  capacity: StorageMetrics;
  status: NodeStatus;
  
  // Node pairing
  connectedNodes: Map<string, NodeConnection>;
  workloadSchedule: Schedule;
  
  // Performance metrics
  latency: number;
  throughput: number;
  cacheHitRate: number;
}

interface NodeConnection {
  nodeType: 'LN1' | 'Knowledge' | 'Consent';
  modelType: ModelType;
  scheduledOperations: ScheduledOperation[];
  resourceAllocation: ResourceAllocation;
}

Hardware Requirements

Compute Specifications

Compute:
  CPU: >= 32 cores
  Clock Speed: >= 3.5GHz
  Architecture: x86_64 or ARM64
  Instructions: AVX-512 support

Memory Requirements

Memory:
  RAM: >= 128GB
  Type: DDR5
  Speed: >= 4800MT/s
  ECC: Required
  Bandwidth: >= 100GB/s

Network Requirements

Network:
  Bandwidth: >= 10Gbps dedicated
  Latency: <= 5ms to nearest node
  Jitter: <= 1ms
  Packet Loss: <= 0.01%

Node Pairing System

Pairing Mechanism

interface PairingManager {
  // Pairing operations
  establishConnection(target: DataHiveNode): Promise<ConnectionStatus>;
  synchronizeSchedule(schedule: Schedule): Promise<void>;
  
  // Resource management
  allocateResources(requirements: ResourceRequirement): Promise<Allocation>;
  optimizeAllocation(): Promise<OptimizationResult>;
}

Workload Scheduling

Schedule Configuration:
  Forecast Window: 7-30 days
  Update Frequency: Daily
  Resource Planning: Weekly
  Performance Windows: Configurable

Model Support

Legal Intelligence Operations

LN1 Support:
  Pre-cache Window: 7 days
  Model Updates: Scheduled
  Training Data: Distributed
  Inference: Real-time

Knowledge Model Operations

Knowledge Support:
  Pre-cache Window: 30 days
  Base Updates: Weekly
  Query Cache: Geographic
  Distribution: Regional

Consent Model Operations

Consent Support:
  Pre-cache Window: 3 days
  Response Time: <= 100ms
  Data Locality: Regional
  Updates: Daily

Performance Optimization

Cache Management

• Predictive pre-caching
• Workload-based allocation
• Geographic optimization
• Load balancing
• Memory pressure handling

Resource Allocation

interface ResourceManager {
  allocateMemory(requirement: MemoryRequirement): Promise<Allocation>;
  optimizeUsage(): Promise<OptimizationResult>;
  handlePressure(): Promise<PressureResponse>;
  rebalanceLoad(): Promise<LoadBalance>;
}

Monitoring

Performance Metrics

Key Indicators:
  Cache Hit Rate: >= 95%
  Response Time: <= 1ms
  Memory Usage: <= 85%
  Network Throughput: >= 10GB/s

Health Monitoring

• Node status tracking
• Connection health
• Resource utilization
• Performance metrics
• Error rates

Related Components

• Protocol Integration
• Performance Tuning
• Deployment Guide
• Security Guidelines