Toward Efficient On-Demand Streaming with BitTorrent

  • Youmna Borghol
  • Sebastien Ardon
  • Niklas Carlsson
  • Anirban Mahanti
Conference paper

DOI: 10.1007/978-3-642-12963-6_5

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6091)
Cite this paper as:
Borghol Y., Ardon S., Carlsson N., Mahanti A. (2010) Toward Efficient On-Demand Streaming with BitTorrent. In: Crovella M., Feeney L.M., Rubenstein D., Raghavan S.V. (eds) NETWORKING 2010. NETWORKING 2010. Lecture Notes in Computer Science, vol 6091. Springer, Berlin, Heidelberg

Abstract

This paper considers the problem of adapting the BitTorrent protocol for on-demand streaming. BitTorrent is a popular peer-to-peer file sharing protocol that efficiently accommodates a large number of requests for file downloads. Two components of the protocol, namely the rarest-first piece selection policy and the tit-for-tat algorithm for peer selection, are acknowledged to contribute toward the protocol’s efficiency with respect to time to download files and its resilience to free riders. Rarest-first piece selection, however, is not suitable for on-demand streaming. In this paper, we present a new adaptive window-based piece selection policy that balances the need for piece diversity, which is provided by the rarest-first algorithm, with the necessity of in-order piece retrieval. We also show that this simple modification to the piece selection policy allows the system to be efficient with respect to utilization of available upload capacity of participating peers, and does not break the tit-for-tat incentive scheme which provides resilience to free riders.

Keywords

Peer-to-Peer Video-on-Demand BitTorrent 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Youmna Borghol
    • 1
    • 2
  • Sebastien Ardon
    • 1
  • Niklas Carlsson
    • 3
  • Anirban Mahanti
    • 1
  1. 1.NICTAAlexandriaAustralia
  2. 2.School of Electrical Engineering and TelecommunicationsUniversity of New South WalesSydneyAustralia
  3. 3.University of CalgaryCalgaryCanada

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