Server Deployment and Load Balancing in Stochastic Mobile Edge Computing Networks
Min Hui, Jian Chen, Yuchen Zhou, Bingtao He, Keyu Wu, Long Yang
Abstract
This letter investigates the server deployment for a randomly deployed mobile edge computing (MEC) network. Under a given density of users, the theoretical analysis shows that there exists an optimal deployment density of MEC servers to maximize the network-wide resource utilization, and the optimum can be determined by bisection searching. In the analysis, a modified gamma distribution is introduced to deal with the inaccurate approximation of the existing methods. Moreover, we propose a workload migration scheme to tackle load imbalance and improve network resource utilization. Numerical simulations verify the analytical results and demonstrate the superior performance of the proposed scheme.