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A user-significance based caching strategy for edge streaming media servers

机译:边缘流媒体服务器的基于用户重要性的缓存策略

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To effectively utilize storage space of edge streaming media servers, cache policies are being studied. Unlike traditional work that focused on hit ratio and overall system bandwidth cost, this paper recognize different significance of users and propose the concept of caching utility as a new metric to evaluate caching strategies. A user based caching algorithm, USCS, involving differentiated service is designed is put forward oriented to this metric. Simulation results show that this strategy can effectively improve caching utility while still keeping hit ratio in a high level.
机译:为了有效地利用边缘流媒体服务器的存储空间,正在研究高速缓存策略。与专注于命中率和整体系统带宽成本的传统工作不同,本文认识到用户的不同意义,并提出了缓存实用程序的概念,作为评估缓存策略的一种新指标。针对该指标,提出了一种基于用户的缓存算法USCS,该算法涉及差异化服务。仿真结果表明,该策略可以有效提高缓存的利用率,同时保持较高的命中率。

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