Analysis of bittorrent-like protocols for on-demand stored media streaming

  • Authors:
  • Nadim Parvez;Carey Williamson;Anirban Mahanti;Niklas Carlsson

  • Affiliations:
  • University of Calgary, Calgary, AB, Canada;University of Calgary, Calgary, AB, Canada;Indian Institute of Technology (IIT) - Delhi, Delhi, India;University of Saskatchewan, Saskatoon, SK, Canada

  • Venue:
  • SIGMETRICS '08 Proceedings of the 2008 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
  • Year:
  • 2008

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Abstract

This paper develops analytic models that characterize the behavior of on-demand stored media content delivery using BitTorrent-like protocols. The models capture the effects of different piece selection policies, including Rarest-First and two variants of In-Order. Our models provide insight into transient and steady-state system behavior, and help explain the sluggishness of the system with strict In-Order streaming. We use the models to compare different retrieval policies across a wide range of system parameters, including peer arrival rate, upload/download bandwidth, and seed residence time. We also provide quantitative results on the startup delays and retrieval times for streaming media delivery. Our results provide insights into the optimal design of peer-to-peer networks for on-demand media streaming.