A comparative study of time management and energy consumption in mobile cloud computing

The effectiveness and influence rate of cloud computing services in devices with limited power and computation resources (e.g. mobile devices) has been considered by many researchers and has led to many performed researches and IT products for these devices. One of the most challenging issues during migration of applications and processes to clouds is the rate energy consumption and time management in comparison with local applications. In this paper, a comparative experimental study has been presented to compare the rate of energy consumption and total execution time in mobile cloud computing and local devices. Hence, three cloud-based environments and two mobile devices with various computation resources were selected to host a cryptography application. Furthermore, cloud-based servers were selected in several places with different distance from the experiment site to investigate the effect of distance and number of hops in the performance of application. The application was run 25 times with different size of plain text to determine the performance of each environment during various workloads. The results showed that the rate of energy consumption and execution time were reduced significantly in cloud-based environments regarding to limited computation resources of mobile devices. This decrease was more considerable when the number of workloads had been increased.