Container-layering based task offloading for time-critical edge computing in IIOT

Xiaolan Ding; Luyong Zhang; Changlong Li; Ang Li

doi:10.1117/12.2624885

6 December 2021 Container-layering based task offloading for time-critical edge computing in IIOT

Xiaolan Ding, Luyong Zhang, Changlong Li, Ang Li

Proceedings Volume 12085, International Conference on Green Communication, Network, and Internet of Things (GCNIoT 2021); 120850T (2021) https://doi.org/10.1117/12.2624885
Event: 2021 International Conference on Green Communication, Network, and Internet of Things, 2021, Kunming, China

Abstract

An edge computing offloading system based on container-layering is proposed, and the task is divided into several discrete offload able subtasks aiming at the computation-intensive and time-sensitive applications in the IIOT and the resource heterogeneity of edge computing devices. For low offloading latency, a SPMOC-ABC (Seven-Phase and Mutation-andOriginal-Crossover Artificial Bee Colony) algorithm based offloading approach is proposed which include Seven-Phase optimization mechanism and Mutation-and-Original-Crossover updating mechanism. Numerical results demonstrate that the proposed container-layering offloading system can significantly improve the utilization of computing resources, and the SPMOC-ABC based offloading approach can effectively reduce latency.

Citation Download Citation

Xiaolan Ding, Luyong Zhang, Changlong Li, and Ang Li "Container-layering based task offloading for time-critical edge computing in IIOT", Proc. SPIE 12085, International Conference on Green Communication, Network, and Internet of Things (GCNIoT 2021), 120850T (6 December 2021); https://doi.org/10.1117/12.2624885

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