An Effective Computation Offloading from Mobile Devices to Cloud

Energy and time effectiveness is a primary consideration for smartphones or mobile devices. Cloud computing has the ability to conserve mobile device’s energy by using the concept of computation offloading. Existing studies focus on offloading computation by assuming the relations among the factors like wireless bandwidth, the amount of computation to be performed, and the amount of data to be transmitted. Objective of Computation Offloading Decision Maker Framework (CODMF) is to reduce energy consumption and response time for a mobile device simultaneously. Execution of computation intensive or resource intensive task to be done locally on CPU and remotely on cloud, which provide a highly versatile execution platform for mobile or android applications. We conduct a real world application for finding road roughness, in order to measure the performance of CODMF. When the task demands maximum energy consumption and time, task will be shifted to the cloud. In addition, we proposed application partitioning for a CODMF which gives a smaller amount of decision rate for false offloading than previous methods. By offloading modules of an application, proposed system can achieve significant savings in battery consumption and in execution time. Keywords—computation offloading; cloud computing; Energy; Battery; response time; framework.