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Computation Offloading Decision in Mobile Cloud Computing: Challenges of Mobile Devices

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dc.contributor.author Tun, Mi Swe Zar
dc.contributor.author Kyi, Hsu Mon
dc.contributor.author Htoon, Ei Chaw
dc.date.accessioned 2019-07-10T08:47:10Z
dc.date.available 2019-07-10T08:47:10Z
dc.date.issued 2017-02-16
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/662
dc.description.abstract Functionality on mobile devices are ever richer in daily life. Mobile devices have limited resources like battery life, storage and processor, etc. Offloading some computing tasks from mobile devices to the cloud is a way to solve the limitations of battery life and computing capability of mobile devices. Application offloading is energy efficient only under various conditions. This paper proposes an Enhanced Computation Offloading Algorithm, to extend the life time of mobile devices, partition the job as a graph and taking into account the CPU load, state of Charge, wireless network bandwidth, transmission data size. Based on the inputs, the system decide whether to offload the application to the cloud or not. Offloading is an effective method for extending the life time of mobile devices by executing some components of applications remotely.(E.g. processing applications on mobile cloud). Result will demonstrate that the algorithm 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 Fifteenth International Conference on Computer Applications(ICCA 2017) en_US
dc.subject Mobile Cloud Computing en_US
dc.subject computation offloading en_US
dc.subject Wireless Network Bandwidth en_US
dc.subject energy en_US
dc.title Computation Offloading Decision in Mobile Cloud Computing: Challenges of Mobile Devices en_US
dc.type Article en_US


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