A distributed intelligence framework for microservice-oriented task offloading and resource allocation in vehicular edge-cloud networks

Parisa Khoshvaght

doi:10.1016/j.compeleceng.2026.111221

A distributed intelligence framework for microservice-oriented task offloading and resource allocation in vehicular edge-cloud networks

2026-05-19

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Farhad Soleimanian Gharehchopogh

DOI：10.1016/j.compeleceng.2026.111221

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Abstract

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• Decentralized framework for microservice offloading in VEC networks. • MAPPO-based multi-agent learning for dynamic resource allocation. • PDE-driven vehicle density modeling for context-aware decisions. • DAG-based microservices enable fine-grained task decomposition. • Achieves up to 23.73% energy saving and 21.14% latency reduction.

Keywords:

microservice offloading

vehicular edge-cloud networks

multi-agent reinforcement learning

dynamic resource allocation

task decomposition

A distributed intelligence framework for microservice-oriented task offloading and resource allocation in vehicular edge-cloud networks

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