A multi-user task offloading strategy in edge computing based on Lyapunov optimization

Shuxu Zhao; Junwei Xia

doi:10.1117/12.2659112

28 October 2022 A multi-user task offloading strategy in edge computing based on Lyapunov optimization

Shuxu Zhao, Junwei Xia

Proceedings Volume 12453, Third International Conference on Computer Communication and Network Security (CCNS 2022); 124530O (2022) https://doi.org/10.1117/12.2659112
Event: Third International Conference on Computer Communication and Network Security (CCNS 2022), 2022, Hohhot, China

Abstract

Based on three tier heterogeneous network, we examine the problem of energy consumption optimization with latency constraints, establishing a hierarchical computing model with multiple layers under heterogeneous network, each layer representing its individual computing model. An offloading strategy will be optimized to reduce energy consumption while ensuring latency constraints. Lyapunov optimization theory will be utilized along with a heuristic algorithm called Coral Reef Optimization (CRO) to analyze the current workload and available computing capacity of edge and cloud servers, making an efficient compute offloading choice reduces the energy used by cloud servers while still adhering to latency restrictions.. Simulation result shows that compared to cloud-only and edge-ward strategies, the proposed strategy shows improvements in term of energy reduction as well as execution time.

Citation Download Citation

Shuxu Zhao and Junwei Xia "A multi-user task offloading strategy in edge computing based on Lyapunov optimization", Proc. SPIE 12453, Third International Conference on Computer Communication and Network Security (CCNS 2022), 124530O (28 October 2022); https://doi.org/10.1117/12.2659112

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