Neural Pub/Sub: Market-based edge orchestration beats centralised oracles by 2-4%
Federated brokers use Walrasian price signals to self-organise across domains without central control.
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Neural Pub/Sub turns edge-cloud orchestration into a decentralized market. Instead of a central scheduler, each broker monitors its health, load, and computes marginal-cost clearing prices. Brokers then negotiate placements across domains using shared subscription summaries with bounded-staleness. The plan step is grounded in a Walrasian convergence proof: for tree and series-parallel service dependency DAGs, this distributed price-based allocation matches the welfare of a central oracle.
On a 4-VM, 4-domain, 48-worker testbed with emulated WAN latency, the federated market beat a single-process oracle by 2-4% (45/45 per-seed wins, p ~ 2.8e-14, median improvement 39.6ms). Against a four-shard centralised orchestrator, the gap was within ±1.5%. Round-robin completion rate collapsed from 98.8% to 3.3% under increasing load, while Neural Pub/Sub preserved completion. It also survived broker death and network partitions with ≥98.7% completion across 75 test cells, and sovereignty enforcement added zero measurable overhead.
- Neural Pub/Sub achieves 2-4% better completion time than a centralised oracle in a 1005-run campaign.
- Federated market maintains ≥98.7% completion rate under broker failures and network partitions.
- Data sovereignty enforcement adds zero measurable runtime overhead across 60 governance-grid runs.
Why It Matters
Decentralised, fault-tolerant edge orchestration without a central bottleneck — real-world potential for multi-domain cloud-edge deployments.