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    Rights statement: 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

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

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An offloading method using decentralized P2P-enabled mobile edge servers in edge computing. / Tang, W.; Zhao, Xuan; Rafique, Wajid; Qi, Lianyong; Dou, Wanchun; Ni, Qiang.

In: Journal of Systems Architecture, Vol. 94, 01.03.2019, p. 1-13.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Tang, W. ; Zhao, Xuan ; Rafique, Wajid ; Qi, Lianyong ; Dou, Wanchun ; Ni, Qiang. / An offloading method using decentralized P2P-enabled mobile edge servers in edge computing. In: Journal of Systems Architecture. 2019 ; Vol. 94. pp. 1-13.

Bibtex

@article{f5228a52413a427099dac7290a49b106,
title = "An offloading method using decentralized P2P-enabled mobile edge servers in edge computing",
abstract = "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.",
keywords = "Computation offloading, Cost-effectiveness, Deadline, Decentralization, Edge computing, Cost effectiveness, Efficiency, Mobile telecommunication systems, Quality of service, Centralized management, Computational workload, Performance issues, Quality of experience (QoE), Resource limitations, Peer to peer networks",
author = "W. Tang and Xuan Zhao and Wajid Rafique and Lianyong Qi and Wanchun Dou and Qiang Ni",
note = "This is the author{\textquoteright}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",
year = "2019",
month = mar,
day = "1",
doi = "10.1016/j.sysarc.2019.02.001",
language = "English",
volume = "94",
pages = "1--13",
journal = "Journal of Systems Architecture",
issn = "1383-7621",
publisher = "Elsevier Science B.V.",

}

RIS

TY - JOUR

T1 - An offloading method using decentralized P2P-enabled mobile edge servers in edge computing

AU - Tang, W.

AU - Zhao, Xuan

AU - Rafique, Wajid

AU - Qi, Lianyong

AU - Dou, Wanchun

AU - Ni, Qiang

N1 - 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

PY - 2019/3/1

Y1 - 2019/3/1

N2 - 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.

AB - 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.

KW - Computation offloading

KW - Cost-effectiveness

KW - Deadline

KW - Decentralization

KW - Edge computing

KW - Cost effectiveness

KW - Efficiency

KW - Mobile telecommunication systems

KW - Quality of service

KW - Centralized management

KW - Computational workload

KW - Performance issues

KW - Quality of experience (QoE)

KW - Resource limitations

KW - Peer to peer networks

U2 - 10.1016/j.sysarc.2019.02.001

DO - 10.1016/j.sysarc.2019.02.001

M3 - Journal article

VL - 94

SP - 1

EP - 13

JO - Journal of Systems Architecture

JF - Journal of Systems Architecture

SN - 1383-7621

ER -