A More Refined Mobile Edge Cache Replacement Scheme for Adaptive Video Streaming with Mutual Cooperation in Multi-MEC Servers
Xinyu Huang, Lijun He, Xin Chen, Fan Li, Guizhong Liu

TL;DR
This paper introduces a refined MEC cache update strategy for adaptive video streaming that considers client status, segment popularity, and cache capacity to enhance QoE and cache efficiency.
Contribution
It proposes a novel cache update scheme dividing MEC cache into parts based on segment importance, optimizing cache space and update strategies for better performance.
Findings
Improves system throughput and hit ratio.
Reduces playback frozen time.
Decreases backhaul traffic.
Abstract
In this paper, we propose a more refined video segment based Mobile Edge Computing (MEC) enhanced cache update strategy, which takes into account the client's playback status and transmission state, MEC cache capacity and the popularity of each segment, to improve the quality of experience (QoE) of clients and the use ratio of MEC cache. In each cache update period, the segments which cannot bring significant QoE improvement will be deleted and meanwhile more suitable representations of the segments will be cahed instead. First, we divide the MEC cache space into three parts based on segment popularity and segment importance level. In addition, the size of different cache parts can be transformed to each other to further exploit the MEC cache space. For different parts, the corresponding deleted strategy and caching strategy are formulated, where the deleted strategy combines the…
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Taxonomy
TopicsCaching and Content Delivery · Image and Video Quality Assessment · Peer-to-Peer Network Technologies
