1169 lines
27 KiB
Markdown
1169 lines
27 KiB
Markdown
# Flow-Nexus HTTP Streaming & Swarm Integration Plan
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## Executive Summary
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This plan outlines the integration of the sublinear-time solver with Flow-Nexus platform for real-time HTTP streaming, swarm-based cost propagation, and distributed verification. The architecture enables dynamic solver optimization through continuous cost updates and verification loops while maintaining sub-millisecond latency targets.
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## 1. HTTP Streaming Architecture
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### 1.1 Core Endpoints
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```
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/api/v1/solve-stream - Primary streaming solver endpoint
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/api/v1/verify - Verification probe endpoint
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/api/v1/status - Session status and metrics
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/api/v1/swarm/join - Swarm participation endpoint
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/api/v1/swarm/costs - Cost propagation endpoint
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/api/v1/health - Health check for load balancers
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```
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### 1.2 Streaming Protocol Design
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**Newline-Delimited JSON (NDJSON)**
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- Each line is a complete JSON object
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- Enables incremental parsing
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- Supports backpressure handling
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- Compatible with standard HTTP/1.1 and HTTP/2
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**Connection Patterns:**
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```javascript
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// Server-Sent Events for web clients
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Accept: text/event-stream
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// Raw NDJSON for programmatic access
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Accept: application/x-ndjson
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// WebSocket upgrade for bidirectional
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Upgrade: websocket
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```
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### 1.3 WebSocket vs HTTP Streaming Comparison
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| Feature | HTTP Streaming | WebSocket |
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|---------|----------------|-----------|
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| Latency | ~2-5ms | ~1-2ms |
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| Browser Support | Universal | IE10+ |
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| Proxy Compatibility | Excellent | Good |
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| Backpressure | Built-in | Manual |
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| Reconnection | Automatic | Manual |
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| **Recommendation** | Primary | Fallback |
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### 1.4 Connection Persistence Strategy
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```javascript
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// Connection pool configuration
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const connectionConfig = {
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maxConcurrent: 1000, // Maximum concurrent streams
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keepAliveTimeout: 60000, // 60 seconds
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heartbeatInterval: 15000, // 15 second ping
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maxSessionDuration: 3600000, // 1 hour max
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gracefulShutdown: 30000 // 30 second drain
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};
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```
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### 1.5 Multi-Session Management
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```javascript
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// Session state structure
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class SolverSession {
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sessionId: string; // UUID
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matrix: SparseMatrix; // Problem definition
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currentSolution: Vector; // Latest x vector
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swarmNodes: Set<string>; // Connected nodes
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verificationState: VerificationLoop;
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metrics: PerformanceMetrics;
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createdAt: timestamp;
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lastActivity: timestamp;
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}
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```
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## 2. Request/Response Schemas
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### 2.1 Initial Solve Request
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```json
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{
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"type": "solve_request",
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"session_id": "uuid-v4",
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"matrix": {
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"rows": 10000,
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"cols": 10000,
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"nnz": 50000,
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"data": {
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"values": [1.5, 2.3, ...],
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"row_indices": [0, 1, 2, ...],
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"col_pointers": [0, 3, 7, ...]
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},
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"format": "csr"
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},
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"vector": [1.0, 2.0, 3.0, ...],
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"method": "hybrid",
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"options": {
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"tolerance": 1e-8,
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"max_iterations": 10000,
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"preconditioner": "jacobi",
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"swarm_enabled": true,
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"verification_interval": 100
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},
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"flow_nexus": {
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"swarm_topology": "mesh",
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"cost_aggregation": "weighted_average",
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"verification_strategy": "random_probe"
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}
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}
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```
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### 2.2 Cost Update Stream (Input)
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```json
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{
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"type": "cost_update",
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"session_id": "uuid-v4",
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"timestamp": "2025-09-19T19:26:51.605Z",
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"delta_costs": {
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"indices": [100, 205, 1337],
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"values": [0.01, -0.003, 0.007]
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},
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"matrix_updates": [
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{
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"row": 100,
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"col": 205,
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"old_value": 1.5,
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"new_value": 1.51
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}
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],
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"source_node": "node-abc123",
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"propagation_depth": 3
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}
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```
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### 2.3 Solution Response Stream (Output)
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```json
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{
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"type": "iteration_update",
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"session_id": "uuid-v4",
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"iteration": 42,
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"timestamp": "2025-09-19T19:26:51.605Z",
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"x_partial": {
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"indices": [0, 1, 2],
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"values": [1.001, 2.003, 3.007]
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},
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"residual_norm": 0.001,
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"convergence_rate": 0.95,
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"verified": true,
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"verification_score": 0.999,
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"swarm_consensus": {
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"participating_nodes": 5,
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"agreement_level": 0.98
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},
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"performance": {
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"iteration_time_ms": 0.8,
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"memory_usage_mb": 150.2,
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"flops": 1500000
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}
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}
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```
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### 2.4 Verification Response
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```json
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{
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"type": "verification_result",
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"session_id": "uuid-v4",
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"probe_id": "probe-xyz789",
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"timestamp": "2025-09-19T19:26:51.605Z",
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"verified": true,
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"residual_components": [0.001, 0.0008, 0.0012],
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"drift_detected": false,
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"correction_applied": false,
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"verification_time_ms": 0.3
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}
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```
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## 3. Swarm Cost Propagation
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### 3.1 Agent Cost Reporting Protocol
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```javascript
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class SwarmCostReporter {
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async reportCosts(sessionId, localCosts) {
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const report = {
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type: 'cost_report',
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session_id: sessionId,
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node_id: this.nodeId,
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timestamp: Date.now(),
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local_costs: localCosts,
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computation_confidence: this.getConfidence(),
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network_latency: this.measureLatency()
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};
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await this.broadcast(report);
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}
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}
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```
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### 3.2 Incremental Update Processing
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```javascript
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class IncrementalProcessor {
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processUpdate(costUpdate) {
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// Apply delta to local cost matrix
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this.applyCostDelta(costUpdate.delta_costs);
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// Update solver state incrementally
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this.solver.updateCosts(costUpdate.indices, costUpdate.values);
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// Trigger recomputation if significant change
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if (this.detectSignificantChange(costUpdate)) {
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this.triggerRecomputation();
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}
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// Propagate to swarm neighbors
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this.propagateToNeighbors(costUpdate);
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}
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}
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```
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### 3.3 Convergence Signaling
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```javascript
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// Convergence detection algorithm
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const convergenceSignal = {
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type: 'convergence_signal',
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criteria: {
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residual_threshold: 1e-8,
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consecutive_iterations: 10,
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swarm_agreement: 0.95
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},
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current_state: {
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residual_norm: 5.2e-9,
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iterations_below_threshold: 12,
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swarm_consensus: 0.97
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},
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converged: true
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};
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```
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### 3.4 Distributed Verification
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```javascript
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class DistributedVerifier {
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async verifyWithSwarm(solution, sessionId) {
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const verificationTasks = this.generateRandomProbes(solution);
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const promises = this.swarmNodes.map(node =>
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node.verify(verificationTasks[node.id])
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);
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const results = await Promise.allSettled(promises);
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return this.aggregateVerificationResults(results);
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}
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}
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```
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### 3.5 Consensus Mechanisms
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```javascript
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// Byzantine fault tolerant consensus
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class ByzantineConsensus {
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async reachConsensus(proposals) {
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const votes = await this.collectVotes(proposals);
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const validated = this.validateVotes(votes);
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// Require 2/3 + 1 agreement for Byzantine tolerance
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const threshold = Math.floor(this.swarmSize * 2/3) + 1;
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return this.selectConsensusValue(validated, threshold);
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}
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}
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```
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## 4. Node.js Server Implementation
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### 4.1 Express/Fastify Setup
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```javascript
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const fastify = require('fastify')({
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logger: true,
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keepAliveTimeout: 60000,
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bodyLimit: 50 * 1024 * 1024 // 50MB for large matrices
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});
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// Register streaming plugin
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await fastify.register(require('./plugins/streaming'));
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await fastify.register(require('./plugins/swarm'));
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await fastify.register(require('./plugins/verification'));
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// CORS for web clients
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await fastify.register(require('@fastify/cors'), {
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origin: true,
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credentials: true
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});
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// Rate limiting
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await fastify.register(require('@fastify/rate-limit'), {
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max: 100,
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timeWindow: '1 minute'
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});
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```
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### 4.2 Stream Handling with Backpressure
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```javascript
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class StreamHandler {
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constructor(request, reply) {
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this.request = request;
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this.reply = reply;
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this.buffer = [];
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this.draining = false;
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}
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async writeUpdate(update) {
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const data = JSON.stringify(update) + '\n';
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if (this.reply.writable) {
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const canContinue = this.reply.raw.write(data);
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if (!canContinue && !this.draining) {
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this.draining = true;
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await new Promise(resolve => {
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this.reply.raw.once('drain', () => {
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this.draining = false;
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resolve();
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});
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});
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}
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}
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}
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}
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```
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### 4.3 WASM Solver Integration
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```javascript
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const WasmSolver = require('./wasm/solver.js');
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class SolverManager {
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constructor() {
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this.wasmModule = null;
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this.solverInstances = new Map();
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}
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async initialize() {
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this.wasmModule = await WasmSolver();
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}
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createSolver(sessionId, matrix, vector, options) {
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const solver = new this.wasmModule.SublinearSolver(
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matrix.data, matrix.rows, matrix.cols,
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vector, options
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);
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this.solverInstances.set(sessionId, solver);
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return solver;
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}
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}
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```
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### 4.4 Session State Management
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```javascript
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class SessionManager {
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constructor() {
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this.sessions = new Map();
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this.redis = new Redis(process.env.REDIS_URL);
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}
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async createSession(sessionId, config) {
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const session = new SolverSession(sessionId, config);
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this.sessions.set(sessionId, session);
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// Persist to Redis for clustering
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await this.redis.setex(
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`session:${sessionId}`,
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3600,
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JSON.stringify(session.serialize())
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);
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return session;
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}
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async restoreSession(sessionId) {
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const data = await this.redis.get(`session:${sessionId}`);
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if (data) {
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const session = SolverSession.deserialize(JSON.parse(data));
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this.sessions.set(sessionId, session);
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return session;
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}
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return null;
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}
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}
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```
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### 4.5 Concurrent Request Handling
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```javascript
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// Worker pool for CPU-intensive tasks
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const { Worker, isMainThread, parentPort } = require('worker_threads');
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class WorkerPool {
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constructor(size = require('os').cpus().length) {
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this.workers = [];
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this.queue = [];
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this.activeJobs = new Map();
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for (let i = 0; i < size; i++) {
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this.createWorker();
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}
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}
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async execute(task) {
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return new Promise((resolve, reject) => {
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const job = { task, resolve, reject, id: generateId() };
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const worker = this.getAvailableWorker();
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if (worker) {
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this.assignJob(worker, job);
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} else {
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this.queue.push(job);
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}
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});
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}
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}
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```
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## 5. Verification Loop Design
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### 5.1 Random Probe Verification
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```javascript
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class RandomProbeVerifier {
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generateProbes(solution, count = 10) {
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const probes = [];
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const n = solution.length;
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for (let i = 0; i < count; i++) {
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const indices = this.selectRandomIndices(n, Math.min(100, n));
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probes.push({
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id: generateId(),
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indices: indices,
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expected_values: indices.map(idx => solution[idx])
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});
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}
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return probes;
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}
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async verifyProbe(probe, matrix, vector) {
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// Compute Ax for probe indices
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const computed = this.computeMatrixVectorProduct(
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matrix, probe.indices, this.currentSolution
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);
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// Compare with expected vector values
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const errors = probe.indices.map((idx, i) =>
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Math.abs(computed[i] - vector[idx])
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);
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return {
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probe_id: probe.id,
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max_error: Math.max(...errors),
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mean_error: errors.reduce((a, b) => a + b) / errors.length,
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verified: Math.max(...errors) < this.tolerance
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};
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}
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}
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```
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### 5.2 Residual Norm Tracking
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```javascript
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class ResidualTracker {
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constructor(historySize = 1000) {
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this.history = [];
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this.historySize = historySize;
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this.trendAnalyzer = new TrendAnalyzer();
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}
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addResidual(norm, iteration) {
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this.history.push({ norm, iteration, timestamp: Date.now() });
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if (this.history.length > this.historySize) {
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this.history.shift();
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}
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// Analyze convergence trend
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return this.trendAnalyzer.analyze(this.history);
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}
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detectStagnation(windowSize = 50) {
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if (this.history.length < windowSize) return false;
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const recent = this.history.slice(-windowSize);
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const variance = this.calculateVariance(recent.map(h => h.norm));
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// Stagnation if variance is very low
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return variance < 1e-12;
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}
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}
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```
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### 5.3 Drift Detection Algorithms
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```javascript
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class DriftDetector {
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constructor() {
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this.baseline = null;
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this.alertThreshold = 0.1; // 10% drift threshold
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this.ewmaAlpha = 0.1; // Exponential smoothing
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this.ewmaValue = 0;
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}
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detectDrift(currentMetrics) {
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if (!this.baseline) {
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this.baseline = currentMetrics;
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return { driftDetected: false, severity: 0 };
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}
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// Update EWMA
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this.ewmaValue = this.ewmaAlpha * currentMetrics.residual_norm +
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(1 - this.ewmaAlpha) * this.ewmaValue;
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// Calculate drift magnitude
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const drift = Math.abs(this.ewmaValue - this.baseline.residual_norm) /
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this.baseline.residual_norm;
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return {
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driftDetected: drift > this.alertThreshold,
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severity: drift,
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recommendation: drift > 0.5 ? 'restart' : 'adjust'
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};
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}
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}
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```
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### 5.4 Auto-Correction Triggers
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```javascript
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class AutoCorrector {
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constructor(solver) {
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this.solver = solver;
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this.correctionStrategies = {
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'drift': this.handleDrift.bind(this),
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'stagnation': this.handleStagnation.bind(this),
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'divergence': this.handleDivergence.bind(this)
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};
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}
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async handleDrift(severity) {
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if (severity < 0.2) {
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// Minor drift - adjust step size
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await this.solver.adjustStepSize(0.8);
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} else if (severity < 0.5) {
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// Moderate drift - restart with better preconditioner
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await this.solver.restart({ preconditioner: 'ilu' });
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} else {
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// Major drift - full restart
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await this.solver.fullRestart();
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}
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}
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}
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```
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### 5.5 Verification Scheduling
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```javascript
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class VerificationScheduler {
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constructor() {
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this.schedule = new Map();
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this.adaptiveInterval = true;
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}
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scheduleVerification(sessionId, initialInterval = 100) {
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const schedule = {
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interval: initialInterval,
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lastVerified: 0,
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adaptiveMultiplier: 1.0
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};
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this.schedule.set(sessionId, schedule);
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}
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shouldVerify(sessionId, currentIteration) {
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const schedule = this.schedule.get(sessionId);
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if (!schedule) return false;
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const nextVerification = schedule.lastVerified +
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(schedule.interval * schedule.adaptiveMultiplier);
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return currentIteration >= nextVerification;
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}
|
|
|
|
adaptInterval(sessionId, verificationResult) {
|
|
const schedule = this.schedule.get(sessionId);
|
|
|
|
if (verificationResult.verified) {
|
|
// Increase interval if consistently verified
|
|
schedule.adaptiveMultiplier = Math.min(2.0, schedule.adaptiveMultiplier * 1.1);
|
|
} else {
|
|
// Decrease interval if verification fails
|
|
schedule.adaptiveMultiplier = Math.max(0.5, schedule.adaptiveMultiplier * 0.8);
|
|
}
|
|
}
|
|
}
|
|
```
|
|
|
|
## 6. Flow-Nexus MCP Integration
|
|
|
|
### 6.1 Tool Registration Format
|
|
|
|
```json
|
|
{
|
|
"tools": [
|
|
{
|
|
"name": "sublinear_solver_stream",
|
|
"description": "Stream-based sublinear time matrix solver",
|
|
"inputSchema": {
|
|
"type": "object",
|
|
"properties": {
|
|
"matrix": { "$ref": "#/definitions/SparseMatrix" },
|
|
"vector": { "type": "array", "items": { "type": "number" } },
|
|
"method": { "enum": ["jacobi", "gauss_seidel", "cg", "hybrid"] },
|
|
"stream_options": {
|
|
"type": "object",
|
|
"properties": {
|
|
"real_time": { "type": "boolean", "default": true },
|
|
"verification_enabled": { "type": "boolean", "default": true },
|
|
"swarm_coordination": { "type": "boolean", "default": false }
|
|
}
|
|
}
|
|
}
|
|
}
|
|
},
|
|
{
|
|
"name": "solver_verification",
|
|
"description": "Verify solution accuracy with random probes",
|
|
"inputSchema": {
|
|
"type": "object",
|
|
"properties": {
|
|
"session_id": { "type": "string" },
|
|
"probe_count": { "type": "integer", "minimum": 1, "maximum": 100 }
|
|
}
|
|
}
|
|
}
|
|
]
|
|
}
|
|
```
|
|
|
|
### 6.2 Authentication Handling
|
|
|
|
```javascript
|
|
class FlowNexusAuth {
|
|
constructor() {
|
|
this.tokenCache = new Map();
|
|
this.refreshThreshold = 300000; // 5 minutes
|
|
}
|
|
|
|
async authenticate(request) {
|
|
const token = this.extractToken(request);
|
|
if (!token) {
|
|
throw new Error('No authentication token provided');
|
|
}
|
|
|
|
const cached = this.tokenCache.get(token);
|
|
if (cached && (Date.now() - cached.timestamp) < this.refreshThreshold) {
|
|
return cached.user;
|
|
}
|
|
|
|
// Validate with Flow-Nexus
|
|
const user = await this.validateWithFlowNexus(token);
|
|
this.tokenCache.set(token, { user, timestamp: Date.now() });
|
|
|
|
return user;
|
|
}
|
|
}
|
|
```
|
|
|
|
### 6.3 Rate Limiting Strategies
|
|
|
|
```javascript
|
|
const rateLimitConfig = {
|
|
// Per-user limits
|
|
user: {
|
|
requests: 1000, // requests per window
|
|
window: 3600000, // 1 hour
|
|
concurrent: 10 // concurrent streams
|
|
},
|
|
|
|
// Per-IP limits (DDoS protection)
|
|
ip: {
|
|
requests: 100,
|
|
window: 300000, // 5 minutes
|
|
concurrent: 5
|
|
},
|
|
|
|
// Global system limits
|
|
global: {
|
|
concurrent_sessions: 10000,
|
|
memory_limit_gb: 100,
|
|
cpu_utilization_max: 0.8
|
|
}
|
|
};
|
|
```
|
|
|
|
### 6.4 Monitoring Hooks
|
|
|
|
```javascript
|
|
class MonitoringHooks {
|
|
constructor() {
|
|
this.metrics = new Map();
|
|
this.alertManager = new AlertManager();
|
|
}
|
|
|
|
async onSessionStart(sessionId, config) {
|
|
await this.recordEvent('session_start', {
|
|
session_id: sessionId,
|
|
matrix_size: config.matrix.rows,
|
|
method: config.method
|
|
});
|
|
}
|
|
|
|
async onIterationComplete(sessionId, iteration, metrics) {
|
|
await this.recordMetric('iteration_time', metrics.duration, {
|
|
session_id: sessionId,
|
|
iteration: iteration
|
|
});
|
|
|
|
// Check for performance alerts
|
|
if (metrics.duration > 10) { // 10ms threshold
|
|
await this.alertManager.sendAlert('slow_iteration', metrics);
|
|
}
|
|
}
|
|
}
|
|
```
|
|
|
|
### 6.5 Error Reporting
|
|
|
|
```javascript
|
|
class ErrorReporter {
|
|
constructor() {
|
|
this.errorBuffer = [];
|
|
this.reportingInterval = 60000; // 1 minute
|
|
this.setupPeriodicReporting();
|
|
}
|
|
|
|
reportError(error, context) {
|
|
const errorReport = {
|
|
timestamp: Date.now(),
|
|
error: {
|
|
message: error.message,
|
|
stack: error.stack,
|
|
type: error.constructor.name
|
|
},
|
|
context: {
|
|
session_id: context.sessionId,
|
|
operation: context.operation,
|
|
user_id: context.userId
|
|
},
|
|
severity: this.assessSeverity(error)
|
|
};
|
|
|
|
this.errorBuffer.push(errorReport);
|
|
|
|
// Immediate reporting for critical errors
|
|
if (errorReport.severity === 'critical') {
|
|
this.sendImmediateReport(errorReport);
|
|
}
|
|
}
|
|
}
|
|
```
|
|
|
|
## 7. Performance & Reliability
|
|
|
|
### 7.1 Latency Targets
|
|
|
|
| Operation | Target | Maximum | SLA |
|
|
|-----------|--------|---------|-----|
|
|
| Initial connection | <100ms | 500ms | 99.9% |
|
|
| Iteration update | <1ms | 5ms | 99.5% |
|
|
| Cost propagation | <2ms | 10ms | 99.0% |
|
|
| Verification probe | <5ms | 20ms | 98.0% |
|
|
| Swarm consensus | <10ms | 50ms | 95.0% |
|
|
|
|
### 7.2 Throughput Benchmarks
|
|
|
|
```javascript
|
|
const performanceTargets = {
|
|
concurrent_sessions: 1000,
|
|
iterations_per_second: 10000,
|
|
matrix_updates_per_second: 50000,
|
|
verification_probes_per_second: 1000,
|
|
network_bandwidth_mbps: 1000
|
|
};
|
|
|
|
// Load testing configuration
|
|
const loadTest = {
|
|
ramp_up_duration: 60, // 1 minute
|
|
steady_state_duration: 300, // 5 minutes
|
|
max_virtual_users: 1000,
|
|
scenarios: [
|
|
{
|
|
name: 'heavy_computation',
|
|
matrix_size: 10000,
|
|
users: 100
|
|
},
|
|
{
|
|
name: 'light_streaming',
|
|
matrix_size: 1000,
|
|
users: 500
|
|
}
|
|
]
|
|
};
|
|
```
|
|
|
|
### 7.3 Failover Strategies
|
|
|
|
```javascript
|
|
class FailoverManager {
|
|
constructor() {
|
|
this.primaryNodes = new Set();
|
|
this.backupNodes = new Set();
|
|
this.sessionMigration = new SessionMigration();
|
|
}
|
|
|
|
async handleNodeFailure(failedNode) {
|
|
// Identify affected sessions
|
|
const affectedSessions = await this.getSessionsOnNode(failedNode);
|
|
|
|
// Migrate sessions to healthy nodes
|
|
const migrations = affectedSessions.map(session =>
|
|
this.sessionMigration.migrate(session, this.selectHealthyNode())
|
|
);
|
|
|
|
await Promise.all(migrations);
|
|
|
|
// Update load balancer
|
|
await this.updateLoadBalancerConfig();
|
|
|
|
// Notify monitoring
|
|
await this.notifyFailover(failedNode, affectedSessions.length);
|
|
}
|
|
}
|
|
```
|
|
|
|
### 7.4 Memory Leak Prevention
|
|
|
|
```javascript
|
|
class MemoryManager {
|
|
constructor() {
|
|
this.sessionCleanup = new Map();
|
|
this.gcInterval = 300000; // 5 minutes
|
|
this.setupPeriodicCleanup();
|
|
}
|
|
|
|
trackSession(sessionId) {
|
|
this.sessionCleanup.set(sessionId, {
|
|
lastActivity: Date.now(),
|
|
memorySnapshot: process.memoryUsage()
|
|
});
|
|
}
|
|
|
|
async cleanupStaleData() {
|
|
const now = Date.now();
|
|
const staleThreshold = 3600000; // 1 hour
|
|
|
|
for (const [sessionId, data] of this.sessionCleanup) {
|
|
if (now - data.lastActivity > staleThreshold) {
|
|
await this.cleanupSession(sessionId);
|
|
this.sessionCleanup.delete(sessionId);
|
|
}
|
|
}
|
|
|
|
// Force garbage collection if memory usage is high
|
|
const memUsage = process.memoryUsage();
|
|
if (memUsage.heapUsed > 1024 * 1024 * 1024) { // 1GB
|
|
global.gc && global.gc();
|
|
}
|
|
}
|
|
}
|
|
```
|
|
|
|
### 7.5 Connection Pooling
|
|
|
|
```javascript
|
|
class ConnectionPool {
|
|
constructor(config) {
|
|
this.maxConnections = config.maxConnections || 1000;
|
|
this.minConnections = config.minConnections || 10;
|
|
this.activeConnections = new Set();
|
|
this.idleConnections = [];
|
|
this.waitingQueue = [];
|
|
}
|
|
|
|
async acquireConnection() {
|
|
if (this.idleConnections.length > 0) {
|
|
const conn = this.idleConnections.pop();
|
|
this.activeConnections.add(conn);
|
|
return conn;
|
|
}
|
|
|
|
if (this.activeConnections.size < this.maxConnections) {
|
|
const conn = await this.createConnection();
|
|
this.activeConnections.add(conn);
|
|
return conn;
|
|
}
|
|
|
|
// Wait for available connection
|
|
return new Promise((resolve) => {
|
|
this.waitingQueue.push(resolve);
|
|
});
|
|
}
|
|
}
|
|
```
|
|
|
|
## 8. Example Flow-Nexus Workflow YAML
|
|
|
|
```yaml
|
|
apiVersion: flow-nexus.ruv.io/v1
|
|
kind: SolverWorkflow
|
|
metadata:
|
|
name: distributed-sublinear-solver
|
|
description: "Distributed matrix solving with real-time streaming"
|
|
spec:
|
|
topology: mesh
|
|
agents:
|
|
- name: primary-solver
|
|
type: solver
|
|
replicas: 3
|
|
resources:
|
|
cpu: "2000m"
|
|
memory: "4Gi"
|
|
wasm: true
|
|
|
|
- name: verifier
|
|
type: verifier
|
|
replicas: 2
|
|
resources:
|
|
cpu: "500m"
|
|
memory: "1Gi"
|
|
|
|
- name: cost-aggregator
|
|
type: coordinator
|
|
replicas: 1
|
|
resources:
|
|
cpu: "1000m"
|
|
memory: "2Gi"
|
|
|
|
streaming:
|
|
protocol: ndjson
|
|
compression: gzip
|
|
heartbeat_interval: 15s
|
|
max_session_duration: 1h
|
|
|
|
verification:
|
|
enabled: true
|
|
interval: 100
|
|
probe_count: 10
|
|
tolerance: 1e-8
|
|
auto_correction: true
|
|
|
|
swarm:
|
|
cost_propagation: true
|
|
consensus_mechanism: byzantine
|
|
fault_tolerance: 0.33
|
|
network_partition_handling: true
|
|
|
|
monitoring:
|
|
metrics_endpoint: "/metrics"
|
|
health_check: "/health"
|
|
log_level: "info"
|
|
tracing: true
|
|
|
|
authentication:
|
|
type: bearer_token
|
|
flow_nexus_integration: true
|
|
rate_limiting:
|
|
requests_per_hour: 10000
|
|
concurrent_sessions: 100
|
|
```
|
|
|
|
## 9. Curl Test Commands
|
|
|
|
### 9.1 Basic Solver Stream Test
|
|
|
|
```bash
|
|
# Start a streaming solve session
|
|
curl -X POST http://localhost:3000/api/v1/solve-stream \
|
|
-H "Content-Type: application/json" \
|
|
-H "Authorization: Bearer $FLOW_NEXUS_TOKEN" \
|
|
-d '{
|
|
"matrix": {
|
|
"rows": 1000,
|
|
"cols": 1000,
|
|
"data": {
|
|
"values": [2, -1, -1, 2, -1, -1, 2],
|
|
"row_indices": [0, 0, 1, 1, 1, 2, 2],
|
|
"col_pointers": [0, 2, 5, 7]
|
|
},
|
|
"format": "csr"
|
|
},
|
|
"vector": [1, 2, 3],
|
|
"method": "hybrid",
|
|
"options": {
|
|
"tolerance": 1e-8,
|
|
"swarm_enabled": true
|
|
}
|
|
}' \
|
|
--no-buffer | while read line; do
|
|
echo "$(date): $line"
|
|
done
|
|
```
|
|
|
|
### 9.2 Cost Update Stream
|
|
|
|
```bash
|
|
# Send cost updates to running session
|
|
curl -X POST http://localhost:3000/api/v1/swarm/costs \
|
|
-H "Content-Type: application/json" \
|
|
-H "Authorization: Bearer $FLOW_NEXUS_TOKEN" \
|
|
-d '{
|
|
"session_id": "uuid-session-123",
|
|
"delta_costs": {
|
|
"indices": [100, 205],
|
|
"values": [0.01, -0.003]
|
|
},
|
|
"source_node": "node-abc123"
|
|
}'
|
|
```
|
|
|
|
### 9.3 Verification Test
|
|
|
|
```bash
|
|
# Trigger manual verification
|
|
curl -X POST http://localhost:3000/api/v1/verify \
|
|
-H "Content-Type: application/json" \
|
|
-H "Authorization: Bearer $FLOW_NEXUS_TOKEN" \
|
|
-d '{
|
|
"session_id": "uuid-session-123",
|
|
"probe_count": 20
|
|
}'
|
|
```
|
|
|
|
### 9.4 Session Status Check
|
|
|
|
```bash
|
|
# Get session status and metrics
|
|
curl -X GET http://localhost:3000/api/v1/status/uuid-session-123 \
|
|
-H "Authorization: Bearer $FLOW_NEXUS_TOKEN" | jq '.'
|
|
```
|
|
|
|
### 9.5 WebSocket Test
|
|
|
|
```bash
|
|
# WebSocket connection test using websocat
|
|
echo '{
|
|
"type": "subscribe",
|
|
"session_id": "uuid-session-123"
|
|
}' | websocat ws://localhost:3000/ws/solver
|
|
```
|
|
|
|
### 9.6 Load Testing with Artillery
|
|
|
|
```yaml
|
|
# artillery-config.yml
|
|
config:
|
|
target: 'http://localhost:3000'
|
|
phases:
|
|
- duration: 60
|
|
arrivalRate: 10
|
|
name: "Warm up"
|
|
- duration: 300
|
|
arrivalRate: 50
|
|
name: "Load test"
|
|
processor: "./custom-functions.js"
|
|
|
|
scenarios:
|
|
- name: "Streaming solver test"
|
|
weight: 80
|
|
flow:
|
|
- post:
|
|
url: "/api/v1/solve-stream"
|
|
headers:
|
|
Authorization: "Bearer {{ auth_token }}"
|
|
json:
|
|
matrix: "{{ matrix_1000x1000 }}"
|
|
vector: "{{ vector_1000 }}"
|
|
method: "hybrid"
|
|
|
|
- name: "Cost updates"
|
|
weight: 20
|
|
flow:
|
|
- post:
|
|
url: "/api/v1/swarm/costs"
|
|
json:
|
|
session_id: "{{ session_id }}"
|
|
delta_costs:
|
|
indices: [1, 2, 3]
|
|
values: [0.001, 0.002, 0.003]
|
|
|
|
# Run load test
|
|
artillery run artillery-config.yml
|
|
```
|
|
|
|
## 10. Implementation Timeline
|
|
|
|
### Phase 1: Core HTTP Streaming (Weeks 1-2)
|
|
- [ ] Basic Express/Fastify server setup
|
|
- [ ] NDJSON streaming implementation
|
|
- [ ] Session management
|
|
- [ ] WASM solver integration
|
|
- [ ] Basic authentication
|
|
|
|
### Phase 2: Verification System (Weeks 3-4)
|
|
- [ ] Random probe verification
|
|
- [ ] Residual tracking
|
|
- [ ] Drift detection
|
|
- [ ] Auto-correction mechanisms
|
|
- [ ] Verification scheduling
|
|
|
|
### Phase 3: Swarm Integration (Weeks 5-6)
|
|
- [ ] Cost propagation protocols
|
|
- [ ] Consensus mechanisms
|
|
- [ ] Distributed verification
|
|
- [ ] Node failure handling
|
|
- [ ] Load balancing
|
|
|
|
### Phase 4: Flow-Nexus MCP (Weeks 7-8)
|
|
- [ ] MCP tool registration
|
|
- [ ] Authentication integration
|
|
- [ ] Rate limiting
|
|
- [ ] Monitoring hooks
|
|
- [ ] Error reporting
|
|
|
|
### Phase 5: Performance Optimization (Weeks 9-10)
|
|
- [ ] Connection pooling
|
|
- [ ] Memory management
|
|
- [ ] Caching strategies
|
|
- [ ] Performance benchmarking
|
|
- [ ] Load testing
|
|
|
|
### Phase 6: Production Deployment (Weeks 11-12)
|
|
- [ ] Docker containerization
|
|
- [ ] Kubernetes deployment
|
|
- [ ] Monitoring setup
|
|
- [ ] Documentation
|
|
- [ ] Integration testing
|
|
|
|
## Conclusion
|
|
|
|
This comprehensive integration plan provides a robust foundation for implementing HTTP streaming and swarm coordination in the sublinear-time solver. The architecture prioritizes performance, reliability, and scalability while maintaining compatibility with Flow-Nexus platform requirements.
|
|
|
|
Key success metrics:
|
|
- Sub-millisecond iteration updates
|
|
- 99.9% uptime reliability
|
|
- Seamless swarm coordination
|
|
- Comprehensive verification
|
|
- Production-ready deployment
|
|
|
|
The modular design allows for incremental implementation and testing, ensuring each component can be thoroughly validated before moving to the next phase. |