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dc.contributor.authorSulaiman, Dawand Jalil
dc.contributor.authorBarker, Adam David
dc.date.accessioned2017-12-11T09:30:08Z
dc.date.available2017-12-11T09:30:08Z
dc.date.issued2017-12-11
dc.identifier.citationSulaiman , D J & Barker , A D 2017 , MAMoC: Multisite Adaptive offloading framework for Mobile Cloud applications . in Proceedings 9th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2017) . , 8241086 , IEEE , pp. 17-24 , 9th IEEE International Conference on Cloud Computing Technology and Science , Hong Kong , China , 11/12/17 . https://doi.org/10.1109/CloudCom.2017.34en
dc.identifier.citationconferenceen
dc.identifier.isbn9781538606926
dc.identifier.otherPURE: 251636446
dc.identifier.otherPURE UUID: 1685b774-9b41-44a6-bbaf-3ae940b512af
dc.identifier.otherScopus: 85044262694
dc.identifier.otherORCID: /0000-0001-9884-8015/work/58056063
dc.identifier.otherWOS: 000427727800003
dc.identifier.urihttp://hdl.handle.net/10023/12308
dc.description.abstractThis paper presents MAMoC, a framework which brings together a diverse range of infrastructure types including mobile devices, cloudlets, and remote cloud resources under one unified API. MAMoC allows mobile applications to leverage the power of multiple offloading destinations. MAMoC's intelligent offloading decision engine adapts to the contextual changes in this heterogeneous environment, in order to reduce the overall runtime for both single-site and multi-site offloading scenarios. MAMoC is evaluated through a set of offloading experiments, which evaluate the performance of our offloading decision engine. The results show that offloading computation using our framework can reduce the overall task completion time for both single-site and multi-site offloading scenarios.
dc.format.extent8
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartofProceedings 9th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2017)en
dc.rights© 2017, IEEE. This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1109/CloudCom.2017.34en
dc.subjectMobile Cloudsen
dc.subjectTask offloadingen
dc.subjectMultisite offloadingen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectT Technologyen
dc.subjectNDASen
dc.subject.lccQA75en
dc.subject.lccTen
dc.titleMAMoC: Multisite Adaptive offloading framework for Mobile Cloud applicationsen
dc.typeConference itemen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews.School of Computer Scienceen
dc.identifier.doihttps://doi.org/10.1109/CloudCom.2017.34


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