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Enhanced Battery Life of Mobile Device by Computation Offloading Decision Algorithm

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dc.contributor.author Thu, Mi Swe Zar
dc.contributor.author Kyi, Hsu Mon
dc.date.accessioned 2019-07-03T07:55:40Z
dc.date.available 2019-07-03T07:55:40Z
dc.date.issued 2018-02-22
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/304
dc.description.abstract Functionality on mobile device is ever richer in daily life. Mobile devices have limited resources like battery life, storage and processor, etc. Nowadays, Mobile Cloud Computing (MCC) bridges the gap be-tween the limited capabilities of mobile devices and the increasing user demand of mobile applications by of-floading the computational workloads from local de-vices to the remote cloud. Deciding to offload some computing tasks or not is a way to solve the limitations of battery life and computing capability of mobile de-vices. Application offloading is energy efficient only under various conditions for determining where/which code should be executed. This paper presents a Com-putational Offloading Decision Algorithm (CODA) , to save the battery life of mobile devices, taking into ac-count the CPU load, state of charge, network band-width and transmission data size. The system can take decision which method should be offloaded or not based on different context of the mobile device to ob-tain minimum processing cost. Numerical study is car-ried out to evaluate the performance of system. Exper-imental result will demonstrate that the proposed algo-rithm can significantly reduce energy consumption of mobile device as well as execution time of application. en_US
dc.language.iso en en_US
dc.publisher Sixteenth International Conferences on Computer Applications(ICCA 2018) en_US
dc.subject Mobile cloud Computing en_US
dc.subject Computation offload-ing en_US
dc.subject Wireless Network Bandwidth en_US
dc.subject Energy en_US
dc.subject Computation Offloading Decision en_US
dc.title Enhanced Battery Life of Mobile Device by Computation Offloading Decision Algorithm en_US
dc.type Article en_US

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