• DocumentCode
    2486507
  • Title

    Server load based prefetching strategy for P2P VoD streaming

  • Author

    Pingshan Liu ; Guimin Huang ; Ya Zhou ; Donghong Qin ; Siyun Liu

  • Author_Institution
    Res. Center of Data Sci. & Social Comput., Guilin Univ. of Electron. Technol., Guilin, China
  • fYear
    2013
  • fDate
    12-13 Oct. 2013
  • Firstpage
    721
  • Lastpage
    725
  • Abstract
    In a peer-to-peer (P2P) video-on-demand (VoD) system, a peer can prefetch some movie data for its future needs when it is watching a movie. These prefetched movie data can also offload the servers, which is in the best interest of VoD service providers. To offload the servers effectively, which segment of a movie a peer should prefetch is an important problem. In this paper, we propose a server load based prefetching strategy to solve this problem, which aims at reducing server load. In this strategy, we propose to use the EWMA (Exponentially Weighted Moving Average) server load to determine which segment of a movie a peer should prefetch. Furthermore, we integrate this strategy into our previously proposed P2P VoD scheme. Through simulations, we demonstrate that this strategy can effectively reduce server load.
  • Keywords
    network servers; peer-to-peer computing; video on demand; video streaming; EWMA; P2P VoD streaming; VoD service providers; exponentially weighted moving average; peer-to-peer system; prefetched movie data; server load; video-on-demand system; Bandwidth; Load modeling; Motion pictures; Peer-to-peer computing; Prefetching; Servers; Videos; peer-to-peer; prefetching; server load; video-on-demand;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2013 3rd International Conference on
  • Conference_Location
    Dalian
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2013.6967212
  • Filename
    6967212