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dc.contributor.authorSulaiman, Dawand Jalil
dc.contributor.authorBarker, Adam David
dc.identifier.citationSulaiman , D J & Barker , A D 2016 , Task offloading engine for heterogeneous mobile Clouds . in Proceedings of The 8th EAI International Conference on Mobile Computing, Applications and Services . ACM , 8th EAI International Conference on Mobile Computing, Applications and Services , Cambridge , United Kingdom , 30/11/16 .
dc.identifier.otherPURE: 249028246
dc.identifier.otherPURE UUID: 3b105f2c-b686-42fb-9625-23e75cc387ef
dc.identifier.otherScopus: 85041368369
dc.identifier.otherORCID: /0000-0001-9884-8015/work/58056062
dc.description.abstractThe limitations in computational resources and battery power of mobile devices led to the concept of offloading compute-intensive tasks to powerful devices. We have developed a framework to offload tasks from a mobile device to other nearby heterogeneous devices. It contains an offloading engine to selectively choose the target devices for the execution of the offloaded tasks to address optimal scheduling across devices with diverse capabilities. Our initial conducted runtime measurements show the feasibility of this concept. As preliminary results, we show that offloading compute intensive tasks from a device with less computational capability to a set of nearby more powerful devices can reduce the overall computational time by approximately 50%.
dc.relation.ispartofProceedings of The 8th EAI International Conference on Mobile Computing, Applications and Servicesen
dc.rights© 2016, EAI. 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 /
dc.subjectMobile Cloudsen
dc.subjectTask offloadingen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectQA76 Computer softwareen
dc.subjectTA Engineering (General). Civil engineering (General)en
dc.titleTask offloading engine for heterogeneous mobile Cloudsen
dc.typeConference itemen
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen

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