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arXiv · 2604.04645

Edge-Oriented Orchestration of Energy Services Using Graph-Driven Swarm Intelligence

Liana Toderean·Dragos Lazea·Vasile Ofrim·Stefania Dumbrava·Anca Hangan·Tudor Cioara
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Abstract

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.

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Liana Toderean, Dragos Lazea, Vasile Ofrim, Stefania Dumbrava, Anca Hangan, Tudor Cioara. 2026-04-06. Edge-Oriented Orchestration of Energy Services Using Graph-Driven Swarm Intelligence. https://arxiv.org/abs/2604.04645

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