2026-07-27T01:31:39Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/4772 2022-03-24T23:17:09Z 1582963302567:1597824273898 user-ucsy

Computation Offloading Decision in Mobile Cloud Computing: Challenges of Mobile Devices Tun, Mi Swe Zar Kyi, Hsu Mon Htoon, Ei Chaw Functionality on mobile devices are ever richerin daily life. Mobile devices have limited resourceslike battery life, storage and processor, etc. Offloadingsome computing tasks from mobile devices to thecloud is a way to solve the limitations of battery lifeand computing capability of mobile devices. Applicationoffloading is energy efficient only under variousconditions. This paper proposes an Enhanced ComputationOffloading Algorithm, to extend the life timeof mobile devices, partition the job as a graph andtaking into account the CPU load, state of Charge,wireless network bandwidth, transmission data size.Based on the inputs, the system decide whether tooffload the application to the cloud or not. Offloadingis an effective method for extending the life timeof mobile devices by executing some components ofapplications remotely.(E.g. processing applicationson mobile cloud). Result will demonstrate that thealgorithm can significantly reduce energy consumptionof mobile device as well as execution time ofapplication. 2017-02-16 http://hdl.handle.net/20.500.12678/0000004772 https://meral.edu.mm/records/4772