• DocumentCode
    2908002
  • Title

    Adaptive and Efficient Peer Selection in Peer-to-Peer Streaming Networks

  • Author

    Hsiao, Tai-Hua ; Hsu, Ming-Hung ; Miao, Yu-Ben

  • Author_Institution
    Inf. & Commun. Res. Lab., Ind. Technol. Res. Inst., Hsinchu, Taiwan
  • fYear
    2011
  • fDate
    7-9 Dec. 2011
  • Firstpage
    753
  • Lastpage
    758
  • Abstract
    Nowadays Peer-to-Peer technologies for content distribution such as file-sharing and streaming media delivery are quite popular with Internet users. For P2P streaming applications, an appropriate peer selection scheme is critical to reduce startup delay and to provide media delivery of high quality. In this work, we propose a novel peer selection scheme AEPS that is both efficient and adaptive to dynamic P2P network. The AEPS combines the advantages of round-trip time based (RTT-based) schemes and available bandwidth based (ABW-based) schemes, to perform efficient and accurate selection. Experiments under three distinct scenarios are realized to quantitatively compare the AEPS with other selection schemes. The experiment results exhibit that the AEPS is more accurate than RTT-based schemes and more efficient than ABW-based schemes, achieving impressive performance in general.
  • Keywords
    Internet; peer-to-peer computing; ABW; Internet; P2P network; RTT; adaptive peer selection; available bandwidth; content distribution; file sharing; media streaming; peer-to-peer streaming networks; peer-to-peer technologies; round trip time; Bandwidth; Delay; Equations; Estimation; Peer to peer computing; Servers; Streaming media; available bandwidth; peer selection; peer-to-peer network; peer-to-peer streaming; round-trip time;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Systems (ICPADS), 2011 IEEE 17th International Conference on
  • Conference_Location
    Tainan
  • ISSN
    1521-9097
  • Print_ISBN
    978-1-4577-1875-5
  • Type

    conf

  • DOI
    10.1109/ICPADS.2011.22
  • Filename
    6121351