As smart grids increasingly depend on IoT devices and distributed energy management, they require decentralized, low latency orchestration of energy services. We address this with a unified framework for edge fog cloud infrastructures tailored to smart energy systems. It features a graph based data model that captures infrastructure and workload, enabling efficient topology exploration and task placement. Leveraging this model, a swarm-based heuristic algorithm handles task offloading in a resource-aware, latency sensitive manner. Our framework ensures data interoperability via energy data space compliance and guarantees traceability using blockchain based workload notarization. We validate our approach with a real-world KubeEdge deployment, demonstrating zero downtime service migration under dynamic workloads while maintaining service continuity.

翻译：随着智能电网日益依赖物联网设备与分布式能源管理，其需要具备去中心化、低延迟的能量服务编排能力。针对这一问题，我们提出了一种统一框架，专为智慧能源系统设计的边缘-雾-云基础设施。该框架采用基于图的数据模型，通过捕获基础设施与工作负载信息，实现了高效的拓扑探索与任务部署。基于该模型，我们设计了一种群体启发式启发算法，以资源感知与延迟敏感的方式处理任务卸载。框架通过符合能源数据空间规范保障数据互操作性，并借助基于区块链的工作负载公证实现可追溯性。我们通过真实环境中的KubeEdge部署验证了该方法，证明了在动态负载下实现零停机服务迁移的同时保持服务连续性。