Optimized Design and Resource Allocation for Dual-server Mobile Edge Computing Systems

In order to make full use of the computing resources of Mobile Edge Computing (MEC) system, this paper designs an optimization scheme of collaboration between two MEC servers and joint computing and communication resources. The scheme proposes the optimization problem of dual-server collaborative multi-user task calculation, where the weighted sum between system computing delay and user energy consumption is minized. The multi-user computing unloaded transmitting power and task segmentation are optimized in the proposed scheme. A joint design scheme with low computational complexity is proposed. The original problem is decoupled into two sub-problems of computational offload optimization and computational task segmentation design, both of which can be solved by interior point method and simplex method respectively. The simulation results show that the system performance of the proposed scheme is better than the existing heuristic benchmark algorithm scheme. And the joint optimization algorithm scheme can get the similar system performance as compared with the basic scheme of the optimal Lagrange multiplier method with less computation time.