Article: A meta-heuristic optimisation algorithm based method for scheduling edge computing resources Journal: International Journal of Information and Communication Technology (IJICT) 2024 Vol.25 No.9 pp.88 - 103 Abstract: Edge computing provides a viable solution to the lack of computing power in smart mobile devices (SMDs) and has received much attention in the industry. However, transferring part of the computation tasks from SMDs to edge servers brings additional transmission energy and server computation energy. To reduce energy consumption, this article suggests an edge calculating resource scheduling approach relied on meta-heuristic improvement algorithm. Firstly, the resource scheduling system model is constructed, and the SMD selects the most suitable edge server (ES) to help itself to complete the computational tasks according to the computational resources of the ES. Then the total energy consumption objective function is suggested, and an enhanced particle swarm optimisation (EPSO) algorithm is used to address this objective function. The experimental outcome indicates that when the number of SMDs is 10, the energy consumption value of the suggested method is 9.25W, which is reduced by 10%-55% compared to the other four methods. Inderscience Publishers - linking academia, business and industry through research

Title: A meta-heuristic optimisation algorithm based method for scheduling edge computing resources

Authors: Yujie Li; Yaoyao Xu; Fangfang Cao; Xiang He

Addresses: Nanchang Institute of Science and Technology, Nanchang 330108, China ' Nanchang Institute of Science and Technology, Nanchang 330108, China ' Nanchang Institute of Science and Technology, Nanchang 330108, China ' Jiangxi Flight University, Nanchang 330088, China

Abstract: Edge computing provides a viable solution to the lack of computing power in smart mobile devices (SMDs) and has received much attention in the industry. However, transferring part of the computation tasks from SMDs to edge servers brings additional transmission energy and server computation energy. To reduce energy consumption, this article suggests an edge calculating resource scheduling approach relied on meta-heuristic improvement algorithm. Firstly, the resource scheduling system model is constructed, and the SMD selects the most suitable edge server (ES) to help itself to complete the computational tasks according to the computational resources of the ES. Then the total energy consumption objective function is suggested, and an enhanced particle swarm optimisation (EPSO) algorithm is used to address this objective function. The experimental outcome indicates that when the number of SMDs is 10, the energy consumption value of the suggested method is 9.25W, which is reduced by 10%-55% compared to the other four methods.

Keywords: resource scheduling; metaheuristic optimisation algorithm; particle swarm optimisation algorithm; power law distribution function; genetic algorithm; smart mobile devices; SMDs; enhanced particle swarm optimisation; EPSO.

DOI: 10.1504/IJICT.2024.142860

International Journal of Information and Communication Technology, 2024 Vol.25 No.9, pp.88 - 103

Received: 28 Sep 2024
Accepted: 12 Oct 2024
Published online: 28 Nov 2024 *

Title: A meta-heuristic optimisation algorithm based method for scheduling edge computing resources

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