Energy-Optimal Execution Policy for a Cloud-Assisted Mobile Application Platform
In this paper, the authors derive strategies for the energy-optimal execution decision on a cloud-assisted mobile application platform. Specifically, in the platform, mobile applications can either be executed in the mobile device (i.e., mobile execution) or offloaded to the cloud clone for execution (i.e., cloud execution), with an objective to conserve energy for the mobile device. The design trade-off is between the computation energy for the mobile execution and the transmission energy for the cloud execution. The optimal execution policy can be identified by solving two energy-aware scheduling problems.