LAUSR

In edge computing systems, it is crucial issue to select suitable placement sites and quantity of servers so as to realize the low latency of Internet of Things (IoT) applications and balance the sever utilization. Hence, this paper proposes a cost-aware edge server optimization deployment method. Firstly, we model the edge server placement problem as a Mixed Integer Nonlinear Programming problem (MNIP), which comprehensively considers the resource allocation ratio, regional average load, and access delay. And then, the Benders decomposition algorithm is employed to solve it. The simulation results show that the proposed method can find better solution to place the edge micro datacenter (MDC) compared with the state-of-art server deployment strategies in terms of latency for applications and utilization of resources.