Task Offloading in Multi-hop Relay-aided Multi-access Edge Computing

Yiqin Deng; Zhigang Chen; Xianhao Chen; Yuguang Fang

doi:10.1109/TVT.2022.3204398

Author(s)

Yiqin Deng
Zhigang Chen
Xianhao Chen
Yuguang Fang

Related Research Unit(s)

Department of Computer Science

Detail(s)

Original language	English
Pages (from-to)	1372-1376
Journal / Publication	IEEE Transactions on Vehicular Technology
Volume	72
Issue number	1
Online published	5 Sept 2022
Publication status	Published - Jan 2023

Link(s)

DOI	DOI https://doi.org/10.1109/TVT.2022.3204398 Final Published version
	Check@CityULib
Attachment(s)	Documents 117766368.pdf Post-print, 342 KB, PDF Publisher's Copyright Statement COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Deng, Y., Chen, Z., Chen, X., & Fang, Y. (2023). Task Offloading in Multi-hop Relay-aided Multi-access Edge Computing. IEEE Transactions on Vehicular Technology, 72(1), 1372-1376. https://doi.org/10.1109/TVT.2022.3204398
Link to Scopus	https://www.scopus.com/record/display.uri?eid=2-s2.0-85137889763&origin=recordpage
Permanent Link	https://scholars.cityu.edu.hk/en/publications/publication(20255b96-b4ce-4907-a06b-4ac80c135213).html

Abstract

As demands for multi-access edge computing (MEC) increase exponentially, resource limitations at individual edge servers (ESs) will inevitably become bottlenecks. Most existing works largely ignore spot access spectrum resource availability when considering computing cooperation among ESs. In this paper, we present a general cooperative MEC framework to enable network-wide cooperation of ESs by leveraging a multi-hop task relaying strategy. Under this framework, we can maximize overall throughput (task completion rate) by balancing the workload for both spot communication and computing through task routing. To address the problem, we formulate an optimization problem and apply matching theory to find a task offloading scheme with low-complexity. Finally, we conduct numerical analysis to show the effectiveness of our proposed scheme and the superiority of our multi-hop relay-assisted MEC systems. © 2022 IEEE.

Research Area(s)

computation offloading, Computational modeling, end-to-end latency, Multi-access edge computing, Multi-access edge computing (MEC), relay, Relay networks (telecommunication), Routing, Servers, Task analysis, Throughput, throughput maximization

Citation Format(s)

[ RIS ] [ BibTeX ]

Task Offloading in Multi-hop Relay-aided Multi-access Edge Computing. / Deng, Yiqin; Chen, Zhigang; Chen, Xianhao et al.
In: IEEE Transactions on Vehicular Technology, Vol. 72, No. 1, 01.2023, p. 1372-1376.

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Deng, Y, Chen, Z, Chen, X & Fang, Y 2023, 'Task Offloading in Multi-hop Relay-aided Multi-access Edge Computing', IEEE Transactions on Vehicular Technology, vol. 72, no. 1, pp. 1372-1376. https://doi.org/10.1109/TVT.2022.3204398

Deng, Y., Chen, Z., Chen, X., & Fang, Y. (2023). Task Offloading in Multi-hop Relay-aided Multi-access Edge Computing. IEEE Transactions on Vehicular Technology, 72(1), 1372-1376. https://doi.org/10.1109/TVT.2022.3204398

Deng Y, Chen Z, Chen X, Fang Y. Task Offloading in Multi-hop Relay-aided Multi-access Edge Computing. IEEE Transactions on Vehicular Technology. 2023 Jan;72(1):1372-1376. Epub 2022 Sept 5. doi: 10.1109/TVT.2022.3204398

Deng, Yiqin ; Chen, Zhigang ; Chen, Xianhao et al. / Task Offloading in Multi-hop Relay-aided Multi-access Edge Computing. In: IEEE Transactions on Vehicular Technology. 2023 ; Vol. 72, No. 1. pp. 1372-1376.

Download Statistics

No data available