Abstract
Mobile devices are resource restrichtion devices (i.e.) size and facilities are inversely proportional. While executing the computational intensive jobs in mobile devices, power system is getting drained very fast. Computational time of application and power consumption in mobile devices are directly proportional. Cloud computing is emerging technology to solve many problems. Cloud computing are getting ready to give their hands to solve. Mobile computing and cloud computing are joined their hands to have good hope. Computational intensive tasks are offloaded to rich resourceful server. Cloud resources are heterogeneity in nature. It creates a challenge in terms of assigning the offloaded tasks in VM machine in efficient manner. The main objective of this paper is to find optimized mapping between offloaded task and cloud resource. First we executed the workflow in mobile alone. Then we observed that It consumes more time to complete and also gain more energy. Then we conducted the experiment on homogeneous and heterogeneous configurations of virtual machines for scheduling the offloaded task to have a least completion time. Finally we found optimal mapping between offloaded task with virtual machines in terms of cost and power consumption.
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