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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      July 2023, Volume 38 Issue 3
    Article

    EFFICIENT PEER TO PEER LIVE STREAMING MODEL USING CONNECTION SWITCHING TO IMPROVE THE QUALITY OF SERVICE
    M. Satyanarayana Reddy1 and P. Chenna Reddy2
    Journal of Data Acquisition and Processing, 2023, 38 (3): 6092-6103 . 

    Abstract

    Peer-to-Peer (P2P) methods have been regarded as an ideal solution for large live streaming platforms due to their low cost and scalability, they tend to cause delays in playback. In order to address this issue, we have proposed a method that allows a P2P system to select its neighbour peers more efficiently. The proposed method allows the system to select its neighbour peers even if the number of connectable peers has already exceeded the maximum. This method would greatly increase the data duplication among the peers and make the system's playback range denser. To prevent degradation in the quality of the system's playback, the method only performs connection switching if all of the other connectable peers have sufficient buffer data. Through extensive simulations, the proposed method significantly lowers the start-up latency and playback lag.

    Keyword

    P2P live Streaming, Playback, connection Switching, Network establishment


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ISSN 1004-9037

         

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