Smart cloud-assisted computation offloading system: A dynamic approach for energy optimization

Recently, computation offloading has become one of the common and efficient ways to minimize the energy expenditure. Considering the aspects of mobile-cloud communication, energy optimization is from the necessities of this offloading. Moreover, the variable and mobile states of mobile devices environments have a significance on this communication. In this article, we are going to suggest an adaptable approach for computation offloading by appropriate choosing from the free resources of the neighboring devices with a smart and automatic way. Here, the significance is that the most appropriate resources close by will be chosen conditioning the estimation that other devices around will not complete the computation successfully. Thus, other devices are served as a mean for setting a connection to the cloud and offloading the computation on it. In this approach, we have an application of MapReduce programming model and algorithm of Lyapunov to optimize the expenditure of energy by considering a time limitation for the whole process of computation. Ultimately, the simulations show that in our suggested approach the expenditure of energy has been significantly optimized despite the state of variety and dynamicity in the features and environments of devices.