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Evaluating the Effect of Mobile Applications on Cloudlet Placement

Given the fact that mobile devices are disadvantaged with regards to resources, mobile edge computing was introduced as a paradigm for providing extra computing resources for constrained devices. To this end, small scaled servers known as cloudlets need be placed within close proximity to edge devices. Nonetheless, determining the appropriate number of cloudlets required depends on the type of mobile application requesting for additional computing resources. Hence, in this study we investigate the effect of mobile applications on cloudlet placements and varying traffic load respectively. Specifically, we first develop a mathematical model that helps to determine the minimum number of cloudlets to be placed as well as amount of traffic load that is required to support four types of mobile user applications. Simulation results gotten from experiments conducted in this study indicate that the number of cloudlets to be placed and traffic load required to support offloading tasks depends on the type of mobile application concerned and the maximum consumable energy. With this discovery, envisaged cloudlet owners should be able to makes informed decisions concerning related cloudlet placement issues.