## Phase 2: Real Distributed Communication

[drzo]

Phase 2: Real Distributed Communication

2.1 Enhanced ggml-RPC System

Objectives

• Extend ggml-RPC with full cognitive metadata support
• Implement attention-based message routing
• Add performance monitoring and load balancing

Actionable Steps

Week 1-3: RPC Enhancement

• Extend ggml-rpc.h with cognitive message types
• Implement cognitive tensor serialization/deserialization
• Add attention weight and salience metadata to RPC packets
• Create cognitive message routing algorithms

Week 4-6: Network Infrastructure

• Implement distributed agent discovery protocols
• Add network topology management
• Create load balancing based on cognitive capacity
• Add fault tolerance and recovery mechanisms

Week 7-8: Performance Optimization

• Implement message batching for efficiency
• Add compression for large cognitive state transfers
• Create bandwidth and latency optimization
• Add network performance monitoring

Success Criteria

• Real network communication between physically distributed agents
• Cognitive metadata preserved across network boundaries
• Network latency <100ms for cognitive message exchange
• Fault tolerance: automatic recovery from node failures

2.2 Attention-Based Message Routing

Objectives

• Route messages based on salience and attention economics
• Implement priority queuing and resource management
• Create adaptive routing based on network conditions

Actionable Steps

Week 9-10: Routing Foundation

• Implement salience-based message prioritization
• Create attention-weighted routing tables
• Add congestion control based on attention economics
• Implement message queuing with priority scheduling

Week 11-12: Adaptive Routing

• Add dynamic route optimization
• Implement network condition monitoring
• Create adaptive attention allocation for communication
• Add routing failure recovery mechanisms

Success Criteria

• Messages routed efficiently based on cognitive importance
• Network congestion handled gracefully through attention economics
• Adaptive routing improves performance under varying load
• Message delivery guaranteed with appropriate priority handling

[github-actions]

This GitHub issue outlines the roadmap for Phase 2 of implementing real distributed communication, focusing on enhancing the ggml-RPC system and introducing advanced attention-based message routing mechanisms. The plan is split into two primary goals. First, ggml-RPC is to be extended with cognitive metadata, attention-based routing, and features like load balancing, distributed agent discovery, fault tolerance, and performance optimization. These tasks span twelve weeks with clear steps, such as cognitive tensor serialization, adaptive routing algorithms, and compression for large data transfers, aiming for sub-100ms communication latency and robust fault recovery. Second, attention-based message routing will prioritize messages using salience measures and dynamic resource allocation, adapting to network conditions and avoiding congestion through attention economics. Success criteria include efficient message delivery based on cognitive importance, automatic recovery from failures, and adaptive network optimization under varying loads.