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Article: How to Leverage Mobile Vehicles to Balance the Workload in Multi-Access Edge Computing Systems

TitleHow to Leverage Mobile Vehicles to Balance the Workload in Multi-Access Edge Computing Systems
Authors
Keywordslatency minimization
Markov decision process (MDP)
Multi-access edge computing (MEC)
relay selection
vehicular networks
Issue Date2021
Citation
IEEE Transactions on Vehicular Technology, 2021, v. 70, n. 11, p. 12283-12286 How to Cite?
AbstractIn this correspondence, we investigate the joint relay and server selection problem for a novel vehicle-assisted multi-access edge computing (MEC) system, where vehicles on the road relay data from an end device to appropriate MEC servers for computing in a store-carry-forward manner. To harness the stochastic nature of task arrivals, vehicle availability, and resource availability at MEC servers, we design a relaying scheme to minimize the average task latency based on a Markov decision process. Our study shows that our proposed scheme is highly effective in balancing the communications and computing while minimizing the end-to-end latency for task completion.
Persistent Identifierhttp://hdl.handle.net/10722/316629
ISSN
2023 Impact Factor: 6.1
2023 SCImago Journal Rankings: 2.714
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorDeng, Yiqin-
dc.contributor.authorChen, Zhigang-
dc.contributor.authorChen, Xianhao-
dc.contributor.authorDeng, Xiaoheng-
dc.contributor.authorFang, Yuguang-
dc.date.accessioned2022-09-14T11:40:55Z-
dc.date.available2022-09-14T11:40:55Z-
dc.date.issued2021-
dc.identifier.citationIEEE Transactions on Vehicular Technology, 2021, v. 70, n. 11, p. 12283-12286-
dc.identifier.issn0018-9545-
dc.identifier.urihttp://hdl.handle.net/10722/316629-
dc.description.abstractIn this correspondence, we investigate the joint relay and server selection problem for a novel vehicle-assisted multi-access edge computing (MEC) system, where vehicles on the road relay data from an end device to appropriate MEC servers for computing in a store-carry-forward manner. To harness the stochastic nature of task arrivals, vehicle availability, and resource availability at MEC servers, we design a relaying scheme to minimize the average task latency based on a Markov decision process. Our study shows that our proposed scheme is highly effective in balancing the communications and computing while minimizing the end-to-end latency for task completion.-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Vehicular Technology-
dc.subjectlatency minimization-
dc.subjectMarkov decision process (MDP)-
dc.subjectMulti-access edge computing (MEC)-
dc.subjectrelay selection-
dc.subjectvehicular networks-
dc.titleHow to Leverage Mobile Vehicles to Balance the Workload in Multi-Access Edge Computing Systems-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TVT.2021.3119189-
dc.identifier.scopuseid_2-s2.0-85117331694-
dc.identifier.volume70-
dc.identifier.issue11-
dc.identifier.spage12283-
dc.identifier.epage12286-
dc.identifier.eissn1939-9359-
dc.identifier.isiWOS:000720520400098-

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