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dc.contributor.authorSulaiman, Dawand Jalil
dc.contributor.authorBarker, Adam David
dc.date.accessioned2019-06-07T09:30:03Z
dc.date.available2019-06-07T09:30:03Z
dc.date.issued2019-05-13
dc.identifier259229398
dc.identifier857a832c-41f5-4ba3-92d4-8c3e90302f57
dc.identifier85066506593
dc.identifier000470058100008
dc.identifier.citationSulaiman , D J & Barker , A D 2019 , MAMoC-Android : Multisite Adaptive Computation Offloading for Android applications . in 2019 7th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) . IEEE Computer Society , pp. 68-75 , 2019 7th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering , San Fransisco , California , United States , 4/04/19 . https://doi.org/10.1109/MobileCloud.2019.00017en
dc.identifier.citationconferenceen
dc.identifier.isbn9781728104645
dc.identifier.isbn9781728104638
dc.identifier.otherORCID: /0000-0001-9884-8015/work/58056064
dc.identifier.urihttps://hdl.handle.net/10023/17842
dc.description.abstractComputational offloading has been widely used to improve the performance of mobile applications and conserve the energy of mobile devices. Prior studies have primarily focused on a form of offloading where only a single server is considered as the offloading site. However, mobile devices now have access to a range of nearby mobile and fixed devices and multiple cloud providers. This paper proposes a method for multisite computation offloading in dynamic mobile cloud environments, in order to save energy and improve application execution time. Our proposed dynamic offloading decision algorithm takes into consideration the offloading score and records of past offloading executions to select the best candidate(s) for offloading. Multisite offloading execution achieves a greater reduction with respect to the completion time and energy consumption of mobiles when compared to local execution or a single-site offloading execution on a public cloud instance.
dc.format.extent8
dc.format.extent343073
dc.language.isoeng
dc.publisherIEEE Computer Society
dc.relation.ispartof2019 7th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)en
dc.subjectMobile Cloudsen
dc.subjectMultisite offloadingen
dc.subjectAdaptive offloadingen
dc.subjectAndroid appsen
dc.subjectAndroid offloadingen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectT Technologyen
dc.subjectComputer Science Applicationsen
dc.subjectNDASen
dc.subjectSDG 7 - Affordable and Clean Energyen
dc.subject.lccQA75en
dc.subject.lccTen
dc.titleMAMoC-Android : Multisite Adaptive Computation Offloading for Android applicationsen
dc.typeConference itemen
dc.contributor.sponsorEPSRCen
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen
dc.identifier.doi10.1109/MobileCloud.2019.00017
dc.identifier.grantnumberEP/R010528/1en


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