A new partial task offloading method in a cooperation mode under multi-constraints for multi-UE

Sun, Shengyao, Du, Ying, Chen, Jiajun, Zhang, Xuan, Zhang, Jiwei and Xu, Yiyi 2023. A new partial task offloading method in a cooperation mode under multi-constraints for multi-UE. Computers, Materials & Continua 76 (3) , pp. 2879-2900. 10.32604/cmc.2023.037483

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Abstract

In Multi-access Edge Computing (MEC), to deal with multiple user equipment (UE)’s task offloading problem of parallel relationships under the multi-constraints, this paper proposes a cooperation partial task offloading method (named CPMM), aiming to reduce UE's energy and computation consumption, while meeting the task completion delay as much as possible. CPMM first studies the task offloading of single-UE and then considers the task offloading of multi-UE based on single-UE task offloading. CPMM uses the critical path algorithm to divide the modules into key and non-key modules. According to some constraints of UE-self when offloading tasks, it gives priority to non-key modules for offloading and uses the evaluation decision method to select some appropriate key modules for offloading. Based on fully considering the competition between multiple UEs for communication resources and MEC service resources, CPMM uses the weighted queuing method to alleviate the competition for communication resources and uses the branch decision algorithm to determine the location of module offloading by BS according to the MEC servers’ resources. It achieves its goal by selecting reasonable modules to offload and using the cooperation of UE, MEC, and Cloud Center to determine the execution location of the modules. Extensive experiments demonstrate that CPMM obtains superior performances in task computation consumption reducing around 6% on average, task completion delay reducing around 5% on average, and better task execution success rate than other similar methods.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Publisher:	Tech Science Press
ISSN:	1546-2226
Date of First Compliant Deposit:	13 December 2023
Date of Acceptance:	7 April 2023
Last Modified:	13 Dec 2023 11:48
URI:	https://orca.cardiff.ac.uk/id/eprint/164692

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