A model for improved resource profiling and prediction for mobile applications

Many mobile applications rely on the 'cloud's' vast computing power, but fail to exploit its full capability. Some application techniques facilitate this objective, but individual application requirements often present degrees of inflexibility. In this paper we propose a more flexible and dynamic computational offloading approach that enables deeper integration with mobile applications. We discuss how this is of benefit to mobile application developers and users