A Probabilistic Offloading Approach in Mobile Edge Computing

The mobile edge computing (MEC) is a new paradigm for providing computing at the edge of networks to support wireless devices to offload computational intensive tasks to MEC server for execution. In mobile environment, different users have different sizes of computation tasks with different target latency for smooth running of applications. Moreover, tasks will arrive at the MEC server for execution at different rate depending upon the time of the day or users density. In such varying environment, it is necessary to consider probabilistic approach to offload tasks for successful mobile edge computing. In this paper, we derive successful computation probability, successful communication probability and successful edge computing probability. We then simulate how the successful probabilities change for different sizes of task, target latency and task arrival rate.