Research On Disk Caching Strategy Based On A P2P Streaming Media VoD System

In recent years, with the rapid development of broadband network, streaming media content services are increasingly welcomed by broadband customers. P2P network streaming media technology has become the focus of current research. The streaming media data consumes huge network bandwidth, which causes more shortage of the operator's network resources, and worse quality of service. And P2P technology uses fully distributed architecture, which weakens and even cancels the function of the server, network nodes can access the resources of other nodes or service, at the same time, they are also providers.In this paper, we did a deep research on the key technology of the large-scale P2P streaming media VOD system, which is the disk cache. The main work is as following:Firstly, in view of contradiction between improving quality to meet the user watch and reducing the backbone bandwidth consumption, and inspired by P2P file-sharing in multi-source collaboration flow scheduling thought, this paper presents a caching strategy based on economy model for distributed streaming media. It uses distributed consistency algorithm computes the prevalence of video segments, and in accordance with the contents of the level of popularity, which gives the corresponding cache replacement strategy. Experimental results show that the algorithm can effectively reduce the load of the server, and significantly reduce the startup delay, and has better performance than the traditional segmented-cache method.Secondly, considering both data storage location and the distance between requestor and responder, this paper research and design the strategies associated with the cache the cached copy of a copy of the distribution strategy and the probability of cache coherence strategy, introduced the characteristics of design thought and strategy in detail.Finally, according to the situation that the current simulation software can not effectively simulate the video on-demand behavior, this paper designs and develops a the simulator suitable for the strategy on the basis of analyzing traditional simulator, and explains the role of each module in detail and also makes an explanation of setting up of required parameter. This paper illustrates its effectiveness by comparing traditional strategy of caching and strategy of this paper.