Location aware code offloading on mobile cloud with QoS constraint

Abstract

Mobile applications can be enhanced to a great extent by using the offloading mechanism in an energy efficient manner to the bounty resourceful clouds. Due to the huge demand of smart phones, the issue of providing more processing capability to this resource constraint device is getting more concern now-a-days. In this paper, a method level offloading mechanism has been proposed where no prior image of the mobile device is needed to be transferred to the cloud. The application is partitioned at different points where the migration of the execution thread is performed from mobile device to nearby resourceful cloud to get the best execution performance in optimal energy cost. The mobile can complete the execution after the partitioned thread returns back from the cloud to the device. This mechanism increases scalability as well as performance in the form of faster execution speed of the mobile devices. Moreover, we consider the mobility of the mobile device and propose a solution to find the best cloud instance on the move. To find out which cloud to offload, the communication latency, capacity, and current load at individual clouds are considered to find out the best cloud to offload to ensure better service for the mobile device. The proposed solution has been simulated and compared against CloneCloud in two different simulation scenarios where we show that our method performs superior to CloneCloud.