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，亟需去中心化、低延迟的能源服务编排方案。本文针对智慧能源系统提出了一种面向边缘-雾-云基础设施的统一框架。该框架采用基于图的数据模型对基础设施与工作负载进行建模，支持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智能启发式算法，以资源感知和延迟敏感的方式处理任务卸载。通过遵循能源数据空间标准，框架确保数据互操作性；并借助基于区块链的工作负载公证机制实现可追溯性。我们利用真实的KubeEdge部署场景验证了该方法，在动态工作负载下实现了服务迁移零停机，同时保障服务连续性。