1 research outputs found

    Scalable Method for Continuous Media Streaming on Peer-to-Peer Networks

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    With the growth of computing power and the proliferation of broadband access to the Internet, streaming distribution services have widely diffused. Content providers apply the proxy caching technique to accomplish effective streaming distribution services. However, the current proxy mechanism has several problems in achieving scalability to the number of users and flexibility in handling the diversity of users demands. In a peer-to-peer (P2P) network, a host called a "peer" directly communicates and exchanges information and data with other hosts. By using the P2P communication architecture, streaming distribution services can be expected to smoothly react to network conditions and changes in user demands for media-streams. In this thesis, we propose efficient methods to achieve continuous and scalable media streaming service. First, segmentation of media streams is done for efficient use of network bandwidth and storage space. Next, we propose two scalable methods to search a desired media block. Finally, we propose two algorithms to determine an optimum provider peer from the results obtained by the search methods. Through several simulation experiments, we show that the FLS method can perform continuous media play-out while reducing the amount of search traffic to 1/10 compared with full flooding
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