An offloading method using decentralized P2P-enabled mobile edge servers in edge computing

Tang, W. and Zhao, Xuan and Rafique, Wajid and Qi, Lianyong and Dou, Wanchun and Ni, Qiang (2019) An offloading method using decentralized P2P-enabled mobile edge servers in edge computing. Journal of Systems Architecture, 94. pp. 1-13. ISSN 1383-7621

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Edge computing has emerged as a promising infrastructure for providing elastic resources in the proximity of mobile users. Owing to resource limitations in mobile devices, offloading several computational tasks from mobile devices to mobile edge servers is the main means of improving the quality of experience of mobile users. In fact, because of the high speeds of moving vehicles on expressways, there would be numerous candidate mobile edge servers available for them to offload their computational workload. However, the selection of the mobile edge server to be utilized and how much computation should be offloaded to meet the corresponding task deadlines without large computing bills are topics that have not been discussed much. Furthermore, with the increasing deployment of mobile edge servers, their centralized management would cause certain performance issues. In order to address these challenges, we firstly apply peer-to-peer networks to manage geo-distributed mobile edge servers. Secondly, we propose a new deadline-aware and cost-effective offloading approach, which aims to improve the offloading efficiency for vehicles and allows additional tasks to meet their deadlines. The proposed approach was validated for its feasibility and efficiency by means of extensive experiments, which are presented in this paper.

Item Type:
Journal Article
Journal or Publication Title:
Journal of Systems Architecture
Additional Information:
This is the author’s version of a work that was accepted for publication in Journal of Systems Architecture. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Systems Architecture, 94, 2019 DOI: 10.1016/j.sysarc.2019.02.001
Uncontrolled Keywords:
?? computation offloadingcost-effectivenessdeadlinedecentralizationedge computingcost effectivenessefficiencymobile telecommunication systemsquality of servicecentralized managementcomputational workloadperformance issuesquality of experience (qoe)resource l ??
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Deposited On:
25 Feb 2019 11:50
Last Modified:
17 Feb 2024 00:54