A Computation Offloading Framework to Optimize Energy Utilisation in Mobile Cloud Computing Environment

ABSTRACT Newly emerged computing concept Mobile cloud computing, is a combination of mobile computing and cloud computing. Mobile Cloud Computing (MCC) enables mobile applications to get built, powered and hosted using cloud resources. As few years back mobile devices were merely used for making calls but nowadays enormous applications can be run on top of the mobile devices. Mobile systems, such as smart phones, have become primary computing platform for users. Still there are some challenges like battery life, computation time etc that resists from implementing applications that are computation intensive. Several approaches have been proposed for addressing these problems. In this paper, we focused on augmented execution of mobile applications on cloud resources, more often known as offloading and formulate the partitioning of elastic mobile datastream applications as on optimization problem by minimizing the cost function which is combination of Communication energy and computation energy. We further investigated the offloading problem by considering the Service Level agreement (SLA) negotiated maximum waiting time. Genetic algorithm is used to find the optimum offloading solution and the results are evaluated by simulating our approach and comparing it with the all mobile-side execution and all cloud-side execution.