An Efficient Caching Scheme for On-Demand Streaming Service on Overlay Networks

Hui Guo, K. Lo, Jiang Li
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引用次数: 3

Abstract

Recently, peer-to-peer (P2P) overlay networks have become popular and many P2P applications such as file sharing and content distribution have been introduced. Naturally, P2P cooperative caching schemes for streaming were introduced. However, these approaches manifest inefficiency of cache utilization due to inappropriate cache replacement algorithms, and no consideration of dynamic membership changes of peer nodes. In this paper, we investigate an efficient cooperative caching mechanism for VOD streaming service over P2P overlay networks. The target of the system is to provide low-latency and high-quality services by virtue of pees' collaboration. The storage and replacement of caching content are based on segment-based strategy. And a utility-based fine-grained cooperative cache (DUFC) policy was proposed for cache replacement. We demonstrate the effectiveness of the proposed scheme and compare with traditional LRUF scheme through extensive simulation experiments over large, Internet-like topologies.
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一种基于覆盖网络的点播流服务高效缓存方案
近年来,点对点(peer-to-peer, P2P)覆盖网络开始流行,并引入了许多P2P应用,如文件共享和内容分发。自然地,介绍了用于流的P2P协作缓存方案。然而,这些方法由于不适当的缓存替换算法而导致缓存利用率低下,并且没有考虑对等节点的动态成员关系变化。本文研究了一种基于P2P覆盖网络的视频点播流媒体服务的高效协同缓存机制。该系统的目标是通过用户之间的协作提供低延迟、高质量的服务。缓存内容的存储和替换基于基于段的策略。提出了一种基于实用的细粒度协同缓存策略,用于缓存替换。我们证明了所提出方案的有效性,并通过在大型类似互联网的拓扑结构上进行广泛的仿真实验,与传统的LRUF方案进行了比较。
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