移动边缘计算的QoE视频缓存方法

QoE Video Caching Method for Mobile Edge Computing

针对现有自适应比特率视频缓存方法效率问题,提出一种移动边缘计算网络中基于上下文的QoE的自适应视频比特率的协作联合缓存方法,将协作联合缓存和处理问题描述为整数线性规划,在缓存存储和处理能力约束下,使回程网络成本最小化。文章方法能够有效利用MEC服务器的处理能力,选择适当的比特率版本以存储在高速缓存中。实验结果表明,在缓存命中率、回程流量方面,所提出方法优于现有其他方法,说明本文方法的可行性与优越性。

Aiming at the efficiency of existing adaptive bit rate video caching methods,a context-based QoE adaptive video bit rate cooperative joint caching method in mobile edge computing networks was proposed.The cooperative joint caching and processing problem is described as integer linear programming,which minimizes the cost of backhaul networks under the constraints of cache storage and processing capacity.This method can effectively utilize the processing power of MEC server and select the appropriate bit rate version to store in the cache.The experimental results show that the proposed method is superior to other existing methods in terms of cache hit rate and backhaul traffic,which illustrates the feasibility and superiority of the proposed method.