Task Offloading Framework to Enhance the Computing Capabilities of Smartphone and Devices using Cloud

Computer Engineering

Over the last couple of years, the number of smartphones and devices (i.e., smartphones tablets,laptops) has become popular among people, more than other computing devices. Mobile phones became standard among individuals, and their range is ever growing due to the computing practicality they have over on the far side primary speech communication. However these devices have limited resources, like restricted battery life, space for storage, and processor performance. To beat these limitations task offloading from smartphones and devices to cloud could be a trustable practice to uphold the computing power of smartphones and save their battery life. However, task offloading introduces a communication energy required for those devices. To create task offloading beneficial, challenge is to totalize the energy needed in communication activities of task offloading. Actual energy estimation considering different parameters of smartphone can promote these devices to create the proper choices on whether or not to perform task offloading instead, supported the energy needed for the communication activities. Only if the offloading procedure consumes less power than processing the task on the phone itself, then the task is offloaded to the cloud. To perform efficient offloading practice, we have a presumption of actual and current configuration parameters like Battery power level, RAM, CPU Uses, File Size and Network Type(WLAN,3G,4G) and its uploading downloading speed of smartphones as well as devices. Parameters make smartphones capable of effectively estimating the energy rate of task offloading.

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