User preference-driven offloading scheme for mobile cloud computing

The concept of cloud computing is becoming prominent now a days. The phenomenon of cloud computing comprises the rationing of data and resources over an accessible network. Cloud comprises a large network of nodes, which provides services to the mobile nodes and the application which falls back on to the cloud are known as the cloud applications. In the previous researches, migration of the task to cloud is a static process. This research paper focuses on the optimization of execution time along with the cost needed to execute the task on to the cloud. The tasks are migrated to the cloud server node dynamically after comparing the deadline time for execution with the execution time of task on mobile device and the execution time of task on the cloud server node. If the execution time of task on mobile device is less than the deadline then the task is executed on the mobile device else the task is to be migrated to the cloud server. Along with the execution time optimization, cost for migrating the tasks is being calculated separately for every task. In this way, this paper concentrates on finding tradeoff between the execution time and the cost.