• DocumentCode
    3502978
  • Title

    ORSP: An Efficient Resource Acquisition Policy for Peer-to-Peer Mesh Streaming Systems

  • Author

    Xiao, Feng ; Luan, Zhongzhi ; Wang, Rui ; Qian, Depei

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Beihang Univ., Beijing, China
  • fYear
    2010
  • fDate
    1-5 Nov. 2010
  • Firstpage
    229
  • Lastpage
    234
  • Abstract
    As a superior approach for peer-to-peer (P2P) streaming live media, mesh-based overlay has made much success due to its potential scalability and ease of deployment. Peers in mesh streaming systems employ a swarming content delivery mechanism to exchange resources. However, the limited availability of new content heavily affects the quality of delivered stream. Aiming at leveraging and optimizing the resources of participating peers to distribute contents, we propose ORSP, an efficient resource acquisition policy for mesh content distribution services. Instead of choosing coming stream randomly with limited bandwidth, ORSP (i) instructs each peer to derive a combination of stream from a gathered subset of peers that maximizes the delivered stream, and (ii) guarantees that peers with more available stream are firstly selected to provide stream in order to balance the whole network resources. Simulation results show that ORSP optimizes stream selection manner that enables peers to obtain more available resources, distribution of system resources is prone to be relatively average that helps to decrease the node failure rate for node join in and drop out, accompanied with a little increased source-to-end delay to some degree.
  • Keywords
    peer-to-peer computing; resource allocation; ORSP policy; P2P mesh streaming systems; mesh content distribution services; peer-to-peer system; resource acquisition policy; High churn; Mesh-based; P2P; Streaming media;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grid and Cooperative Computing (GCC), 2010 9th International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9334-0
  • Electronic_ISBN
    978-0-7695-4313-0
  • Type

    conf

  • DOI
    10.1109/GCC.2010.54
  • Filename
    5662498