Abstract: In order to promote the Quality of Service(QoS) of streaming Video-on-Demand(VoD) system based on P2P technology, a distributed streaming media caching strategy based on economy model is proposed, which adopts distributed averaging algorithm to compute the popularity degree of video segments, and gives corresponding replacement strategies according to the content popularity degree. Simulation experimental results show this strategy can reduce consumption of server’s load effectively, and obtain better performance.

Key words: P2P technology, economy model, caching, content popularity degree

摘要： 为提高基于P2P技术的流媒体点播系统的服务质量，提出一种基于经济模型的分布式流媒体缓存策略，采用分布式一致性算法计算视频分段的流行度，并根据内容流行度的高低给出相应的缓存置换策略。仿真实验结果表明，该策略可以有效降低服务器的负载以及启动延时，能够获得较好的性能。

关键词: P2P技术, 经济模型, 缓存, 内容流行度

CLC Number: 

• TP393