Cost Minimization for Cooperative Mobile Edge Computing Systems

Mobile Edge Computing (MEC) is a promising technique that provides distributed computing and storage resources at the edge of a network. In this talk, we investigate a stochastic optimization problem to minimize the cost of MEC system. Firstly, we use the stability of the task buffer queue as constraints to formulate the cost minimization problem. Then we propose the Lyapunov optimization theory to transform the original problem into a deterministic problem. The optimal CPU frequency and optimal transmit power can be obtained in a closed form. In addition, we establish a [O(1V), O(V)] tradeoff between the system cost and execution latency. Simulation results are provided to verify theoretical analysis and demonstrate the effects of various parameters.