A more refined mobile edge cache replacement scheme for adaptive video streaming with mutual cooperation in multi-mec servers

Instead of only focusing on the hit ratio of the videos cached in Mobile Edge Computing (MEC) server, we propose a more refined video segment content and client statusbased MEC cache update strategy, to improve clients' Quality of Experience (QoE). First, based on both the segment popularity and importance, we divide MEC cache into three parts which can be flexibly transformed into each other by combing the requested times of segments, transmission capability and clients' playback status together. Furthermore, we present the client's cache priority utility function and formulate a problem to maximize the utility function subject to the constraints of MEC cache size and transmission capacity. The brand and branch method is employed to obtain the optimal solution. Simulation results show that our algorithm can improve system throughput, hit ratio of video segment, playback frozen time as well as backhaul traffic.