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Computation Offloading Method for Large-Scale Factory Access in Edge-Edge Collaboration Mode

Computation Offloading Method for Large-Scale Factory Access in Edge-Edge Collaboration Mode

Junfeng Man, Longqian Zhao, Bowen Xu, Cheng Peng, Junjie Jiang, Yi Liu
Copyright: © 2023 |Volume: 34 |Issue: 1 |Pages: 29
ISSN: 1063-8016|EISSN: 1533-8010|EISBN13: 9781668478929|DOI: 10.4018/JDM.318451
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MLA

Man, Junfeng, et al. "Computation Offloading Method for Large-Scale Factory Access in Edge-Edge Collaboration Mode." JDM vol.34, no.1 2023: pp.1-29. http://doi.org/10.4018/JDM.318451

APA

Man, J., Zhao, L., Xu, B., Peng, C., Jiang, J., & Liu, Y. (2023). Computation Offloading Method for Large-Scale Factory Access in Edge-Edge Collaboration Mode. Journal of Database Management (JDM), 34(1), 1-29. http://doi.org/10.4018/JDM.318451

Chicago

Man, Junfeng, et al. "Computation Offloading Method for Large-Scale Factory Access in Edge-Edge Collaboration Mode," Journal of Database Management (JDM) 34, no.1: 1-29. http://doi.org/10.4018/JDM.318451

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Abstract

Large-scale manufacturing enterprises have complex business processes in their production workshops, and the edge-edge collaborative business model cannot adapt to the traditional computation offloading methods, which leads to the problem of load imbalance. For this problem, a computation offloading algorithm based on edge-edge collaboration mode for large-scale factory access is proposed, called the edge and edge collaborative computation offloading (EECCO) algorithm. First, the method partitions the directed acyclic graphs (DAGs) on edge server and terminal industrial equipment, then updates the tasks using a synchronization policy based on set theory to improve the accuracy effectively, and finally achieves load balancing through processor allocation. The experimental results show that the method shortens the processing time by improving computational resource utilization and employs a heterogeneous distributed system to achieve high computing performance when processing large-scale task sets.