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Article: Task Offloading in Multi-Hop Relay-Aided Multi-Access Edge Computing

TitleTask Offloading in Multi-Hop Relay-Aided Multi-Access Edge Computing
Authors
Keywordscomputation 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
Issue Date1-Jan-2023
PublisherInstitute of Electrical and Electronics Engineers
Citation
IEEE Transactions on Vehicular Technology, 2023, v. 72, n. 1, p. 1372-1376 How to Cite?
AbstractAs 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.
Persistent Identifierhttp://hdl.handle.net/10722/331398
ISSN
2021 Impact Factor: 6.239
2020 SCImago Journal Rankings: 1.365
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorDeng, YQ-
dc.contributor.authorChen, ZG-
dc.contributor.authorChen, XH-
dc.contributor.authorFang-
dc.contributor.authorYG-
dc.date.accessioned2023-09-21T06:55:21Z-
dc.date.available2023-09-21T06:55:21Z-
dc.date.issued2023-01-01-
dc.identifier.citationIEEE Transactions on Vehicular Technology, 2023, v. 72, n. 1, p. 1372-1376-
dc.identifier.issn0018-9545-
dc.identifier.urihttp://hdl.handle.net/10722/331398-
dc.description.abstractAs 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.-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers-
dc.relation.ispartofIEEE Transactions on Vehicular Technology-
dc.subjectcomputation offloading-
dc.subjectComputational modeling-
dc.subjectend-to-end latency-
dc.subjectMulti-access edge computing-
dc.subjectMulti-access edge computing (MEC)-
dc.subjectrelay-
dc.subjectRelay networks (telecommunication)-
dc.subjectRouting-
dc.subjectServers-
dc.subjectTask analysis-
dc.subjectThroughput-
dc.subjectthroughput maximization-
dc.titleTask Offloading in Multi-Hop Relay-Aided Multi-Access Edge Computing-
dc.typeArticle-
dc.identifier.doi10.1109/TVT.2022.3204398-
dc.identifier.scopuseid_2-s2.0-85137889763-
dc.identifier.volume72-
dc.identifier.issue1-
dc.identifier.spage1372-
dc.identifier.epage1376-
dc.identifier.eissn1939-9359-
dc.identifier.isiWOS:000966604900001-
dc.publisher.placePISCATAWAY-
dc.identifier.issnl0018-9545-

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