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.
