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dc.contributor.authorSamanta, Amit
dc.contributor.authorChang, Zheng
dc.date.accessioned2019-05-09T11:19:01Z
dc.date.available2019-05-09T11:19:01Z
dc.date.issued2019
dc.identifier.citationSamanta, A., & Chang, Z. (2019). Adaptive Service Offloading for Revenue Maximization in Mobile Edge Computing with Delay-Constraint. <i>IEEE Internet of Things Journal</i>, <i>6</i>(2), 3864-3872. <a href="https://doi.org/10.1109/JIOT.2019.2892398" target="_blank">https://doi.org/10.1109/JIOT.2019.2892398</a>
dc.identifier.otherCONVID_28860201
dc.identifier.otherTUTKAID_80317
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/63861
dc.description.abstractMobile Edge Computing (MEC) is an important and effective platform to offload the computational services of modern mobile applications, and has gained tremendous attention from various research communities. For delay and resource constrained mobile devices, the important issues include: 1) minimization of the service latency; 2) optimal revenue maximization; 3) high quality-of-service (QoS) requirement to offload the computational service offloading. To address the above issues, an adaptive service offloading scheme is designed to provide the maximum revenue and service utilization to MEC. Unlike most of the existing works, we consider both the delay-tolerant and delay-constraint services in order to achieve the optimized service latency and revenue. Furthermore, we consider the different priorities to prioritize the edge services for optimal service offloading. We formulate the proposed scheme mathematically. Simulation results are presented to demonstrate the effectiveness of the proposed adaptive service offloading scheme over other existing state-of-the-art solutions, in terms of service latency, utility value, revenue and utilization.fi
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relation.ispartofseriesIEEE Internet of Things Journal
dc.rightsIn Copyright
dc.subject.othermobile edge computing
dc.subject.otheradaptive service offloading
dc.subject.otherrevenue maximization
dc.titleAdaptive Service Offloading for Revenue Maximization in Mobile Edge Computing with Delay-Constraint
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201905092517
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineMathematical Information Technologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2019-05-09T09:15:10Z
dc.description.reviewstatuspeerReviewed
dc.format.pagerange3864-3872
dc.relation.issn2327-4662
dc.relation.numberinseries2
dc.relation.volume6
dc.type.versionacceptedVersion
dc.rights.copyright© 2019 IEEE
dc.rights.accesslevelopenAccessfi
dc.subject.ysoesitysanalyysi
dc.subject.ysopilvipalvelut
dc.subject.ysomobiililaitteet
dc.subject.ysosuorituskyky
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p6373
jyx.subject.urihttp://www.yso.fi/onto/yso/p24167
jyx.subject.urihttp://www.yso.fi/onto/yso/p4834
jyx.subject.urihttp://www.yso.fi/onto/yso/p14041
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi10.1109/JIOT.2019.2892398


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