An Energy Efficient Techniques for Offloading Data to Cloud Using Smartphone

The advance technique of task offloading from Smartphone’s to the cloud is a promising strategy to increase their battery life and to enhance the computing capability of Smartphone’s. Cloud-computing enables network access configurable computing resources such as servers, storage and applications to a shared pool. However, for devices, task offloading introduces a communication cost on-demand only. These shared resources can be rapidly provisioned to the consumers, on the basis of paying for whatever consumer use only. Therefore, consideration of the communication cost is important for the task offloading effectiveness. To make task offloading beneficial, one of the challenges is the energy consumed in communication activities for estimating of task offloading. Accurate energy estimation models will enable these devices for making the right decisions as to whether or not for performing task offloading, based on the energy cost to communication activities. Simply put, if the offloading process consumes less energy than processing the task on the device, then the task is offloaded to cloud. To design an energy-aware offloading technique, the proposed scheme introduces energy models of the WLAN, Ad-hoc connection and Hotspot interfaces of Smartphone’s. These models make Smartphone’s capable of accurately estimating the energy cost of task offloading. This scheme validates the models for conducting an extensive set of experiments on some Smartphone’s from different vendors. The experimental results show that proposed estimation models accurately estimate the energy required to offload tasks.