Joint Optimization of Server Placement and Content Caching in Mobile Edge Computing Networks

To address the severe challenge from the rapid growth of number of downloads of contents via mobile network, it is imperative to develop efficient content caching scheme in mobile edge computing (MEC) networks, which can alleviate the heavy burden on backhaul links and reduce the delay for content delivery. However, the caching performance is highly related to the MEC server placement. In this paper, we jointly optimize the server placement problem and content caching problem in MEC networks. We propose a heuristic algorithm based on Kuhn-Munkres (KM) algorithm and greedy algorithm to minimize the average delay and average bandwidth resource usage. The simulation shows that our proposed algorithm can reduce delay and bandwidth, compared with other schemes.