Maximizing Network Resource Utilization Based Server Deployment Algorithm in LTE-Edge Computing

In an edge computing network environment, in order to improve the utilization of network resources, this paper proposes a server deployment algorithm for maximizing network resource utilization under edge computing. First, the problem is modeled from four aspects: network topology, user service requests, storage and computing resource allocation, and service node traffic usage matrix. Secondly, an objective function for minimizing network traffic is constructed, and a server deployment algorithm for maximizing network resource utilization under edge computing is proposed to solve. The algorithm uses the idea of slack constraints to solve the optimal server deployment strategy. Use tabu genetic search algorithm to find the optimal storage node and compute node deployment location. Use Lagrange operator to solve the best set of service nodes. In the experimental part, it is verified that the proposed algorithm achieves better results in reducing network traffic.