The edge-cloud computing continuum demands self-management mechanisms that scale across autonomous administrative domains while honouring tenant- and operator-specified data sovereignty. We present Neural Pub/Sub, a federated-broker autonomic substrate whose self-organising behaviour emerges from market-based price signals rather than centralised control. Its MAPE-K control loop closes over per-broker health and load monitoring, marginal-cost clearing-price analysis, placement planning over a polymatroidal feasibility region, federated cross-domain dispatch, and shared peer subscription summaries with bounded-staleness price signals. The Plan step is anchored in a Walrasian convergence proposition: under gross-substitutes valuations on tree and series-parallel service-dependency DAGs, decentralised price-based allocation matches the welfare of a centralised oracle. We evaluate the substrate on a 4-VM, 4-domain, 48-worker federated edge-cloud testbed (single data centre, 50 ms emulated WAN) in a 1005-run campaign augmented by a fair-process-count sharded-oracle comparator. The federated market dominates a single-process oracle by 2-4% with 45 of 45 per-seed wins (sign-test p ~ 2.8e-14, Hodges-Lehmann median -39.6 ms); against a four-shard centralised orchestrator at equal process count the gap stays within +/-1.5% across all nine (pipeline, load) cells. Round-robin completion rate collapses 98.8% -> 22.4% -> 3.3% across arrival rates 5/10/15 pps while the market preserves completion; the advantage decomposes into three Walrasian properties (information completeness, admission control, price discovery). Federation withstands broker death and network partition (completion rate >= 98.7% across 75 cells), and sovereignty enforcement adds no measurable runtime overhead across 60 governance-grid runs. Heterogeneous-domain stressors and cross-site WAN deployment remain future work.

翻译：边缘-云计算连续体需要能够跨越自治管理域扩展、同时保障租户和运营商指定数据主权的自我管理机制。我们提出Neural Pub/Sub——一种联邦代理自主基板，其自组织行为源于基于市场的价格信号而非集中控制。它的MAPE-K控制循环整合了每代理健康与负载监控、边际成本清算价格分析、多拟阵可行性区域上的放置规划、联邦跨域调度以及具有有限陈旧性价格信号的共享对等订阅摘要。规划步骤基于瓦尔拉斯收敛命题：在树形和串并联服务依赖有向无环图上，如果满足总替代估值条件，则去中心化的基于价格分配与集中式预言机达到相同的福利效果。我们在4虚拟机、4域、48工作节点的联邦边缘-云测试平台（单数据中心，50毫秒模拟广域网）上，通过公平进程计数分片预言机比较器开展了1005次运行实验。联邦市场以45/45的每种子胜率超越单进程预言机2-4%（符号检验p~2.8e-14，霍奇斯-莱曼中位数-39.6毫秒）；在同等进程数下对比四分片集中式编排器，所有9个（流水线，负载）单元格的差距保持在±1.5%以内。轮询调度完成率在到达率5/10/15个/秒时从98.8%骤降至22.4%再降至3.3%，而市场机制保持完成率；该优势可分解为三种瓦尔拉斯性质（信息完备性、准入控制、价格发现）。联邦机制可抵御代理崩溃和网络分区（75个单元格中完成率≥98.7%），且主权执行在60次治理网格运行中未引入可测运行时开销。异构域压力测试和跨站点广域网部署仍是未来工作。