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  • Dynamic Agent Networks

  • Documentation

  • Dynamic Agent Networks

Self-Organizing Protocol

Self-Organizing Protocol

Phase 1 - Swarm Formation:

Phase 1 - Swarm Formation:

def form_swarm(task_dag, available_agents):  
    # Multi-objective optimization: Cost vs Latency vs Fault Tolerance  
    problem = {  
        "variables": agent_ids,  
        "objectives": [min_cost, max_reliability],  
        "constraints": task_deadlines  
    }  
    return NSGAII_Solver(problem).optimize()

Performance:

Performance:


  • 89% resource utilization in chaotic workloads (vs 34% in static clusters)

  • 120ms median swarm reconfiguration time (1K-node testbed)


  • 89% resource utilization in chaotic workloads (vs 34% in static clusters)

  • 120ms median swarm reconfiguration time (1K-node testbed)

Last updated on

Feb

22,

2025

Last updated on

Feb

22,

2025

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