Recently, video streaming services using P2P(Peer-to-Peer) have attracted attention to solve the problem of load concentration on servers and reduce a lot of latency. Many P2P streaming systems, like Coolstreaming, however, have a complicated approach to control playback timings severely. And this leads to less churn resiliency and less adaptability to fluctuation of network traffic. Therefore, we focus on a simple and robust approach to realize “pseudo” streaming with high quality, which is based on BitTorrent. In the existing methods with the simple approach, peers download pieces just closer to playback timings to decrease the playback discontinuity. In contrast, in this paper, we propose a new P2P video streaming system considering the cooperation of three metrics; video structure, playback timings, and pieces dispersion on network. In this system, users vary three piece selections to suit the delivery status. Specifically, users preferentially download pieces which affect the video quality, are closer to playback timings, and improve the delivery efficiency. Moreover, we show the effectiveness of the proposed method by computer simulation.
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