• DocumentCode
    2907926
  • Title

    An Optimal Topology for a Static P2P Live Streaming Network with Limited Resources

  • Author

    Stern, Jonathan ; Luzzatti, Omer ; Goldberg, Raphael ; Weiss, Eran ; Gonen, Mira

  • Author_Institution
    RayV Res. RayV Inc., Tel-Aviv, Israel
  • fYear
    2011
  • fDate
    7-9 Dec. 2011
  • Firstpage
    729
  • Lastpage
    734
  • Abstract
    In this paper we propose a P2P live streaming topology, prove its optimality under common constraints, and match the analytical research with results from a running commercial network. We assume two types of nodes: viewers that consume the entire media, and amplifiers which are non-viewing nodes utilized for their upstream bandwidth. We analytically derive the minimum needed server upload capacity, for any topology, under the following assumptions: the amount of amplifiers and buffer time are limited, dynamics are low, and the total bandwidth required by the viewers exceeds the total upstream bandwidth of all peers. Then, we present a two-level topology and prove that it achieves the minimum possible server upload, up to a small fraction. Finally, the assumptions and derivation are supported by performing several experiments on RayV´s real-world commercial system, with varying network parameters. Namely, we show our predictions are valid while varying the viewers to amplifiers ratio, the stream bit-rate, and the country of the peers. These results not only verify the analytical static predictions, but also evaluate the dynamic costs during the `flash crowd´, the initial time when peers are joining the system.
  • Keywords
    peer-to-peer computing; telecommunication network topology; RayV commercial system; amplifiers node; flash crowd; network resource; network topology; peer-to-peer network; server upload capacity; static P2P live streaming network; viewer node; Delay; Equations; Network topology; Peer to peer computing; Servers; Topology; USA Councils;
  • 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.2011.27
  • Filename
    6121347