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

📅 2026-04-06
📈 Citations: 0
Influential: 0
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🤖 AI Summary
This work addresses the challenges of decentralized, low-latency service orchestration in smart grids under the integration of IoT and distributed energy management. To this end, the authors propose a unified task orchestration framework tailored for edge–fog–cloud collaborative architectures. The framework combines graph-driven modeling with swarm intelligence–based optimization to enable resource-aware, low-latency task offloading. System interoperability is ensured through adherence to Energy Data Space standards, while blockchain technology guarantees traceability of workloads. Real-world deployment experiments based on KubeEdge demonstrate that the proposed approach achieves zero-downtime service migration and sustained service availability under dynamic workloads, significantly enhancing both system responsiveness and reliability.
📝 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.
Problem

Research questions and friction points this paper is trying to address.

smart grids
energy services orchestration
edge computing
low latency
decentralized coordination
Innovation

Methods, ideas, or system contributions that make the work stand out.

graph-driven swarm intelligence
edge-fog-cloud orchestration
energy data space
blockchain notarization
zero-downtime migration
L
Liana Toderean
Technical University of Cluj-Napoca, Romania
D
Dragos Lazea
Technical University of Cluj-Napoca, Romania
V
Vasile Ofrim
Technical University of Cluj-Napoca, Romania
S
Stefania Dumbrava
ENSIIE & SAMOVAR, France
A
Anca Hangan
Technical University of Cluj-Napoca, Romania
Tudor Cioara
Tudor Cioara
Technical University of Cluj-Napoca, European University of Technology (EUt+)
Computer ScienceDistributed SystemsBlockchainSmart GridData Centers