2026-08-25T14:00:52Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/00006631 2021-12-13T05:18:18Z 1582963342780:1605779935331 user-uit

Computation Offloading Decision in Mobile Cloud Computing: Enhance Battery Life of Mobile Device Mi Swe Zar Thu Hsu Mon Kyi 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 between the limited capabilities of mobile devices and the increasing user demand of mobile applications by offloading the computational workloads from local devices 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 devices. Application offloading is energy efficient only under various conditions for determining where/which code should be executed. This paper presents a Computational Offloading Decision Algorithm (CODA) , to save the battery life of mobile devices, taking into account the CPU load, state of charge, network bandwidth 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 obtain minimum processing cost. Numerical study is carried out to evaluate the performance of system. Experimental result will demonstrate that the proposed algorithm can significantly reduce energy consumption of mobile device as well as execution time of application. 2017-11-02 https://meral.edu.mm/records/6631