How P2P streaming systems scale over time under a flash crowd?

  • Authors:
  • Fangming Liu;Bo Li;Lili Zhong;Baochun Li;Di Niu

  • Affiliations:
  • Hong Kong University of Science & Technology;Hong Kong University of Science & Technology;Hong Kong University of Science & Technology;University of Toronto;University of Toronto

  • Venue:
  • IPTPS'09 Proceedings of the 8th international conference on Peer-to-peer systems
  • Year:
  • 2009

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Abstract

Peer-to-Peer (P2P) live video streaming systems have recently received significant attention, with commercial deployment gaining increased popularity in the Internet. It is evident in our empirical experiences with real-world systems that, it is not uncommon to have hundreds of thousands of viewers trying to join a program in the first few minutes of a live broadcast. This phenomenon in live streaming systems, referred as the flash crowd, poses unique challenges in the system design. In this paper, we develop a mathematical model to capture the inherent relationship between time and scale during a flash crowd. We derive an upper bound on the system scale, and then demonstrate that the timing factor plays a critical role for such a system to scale. In addition, our analysis also brings a more indepth understanding with respect to the use of Gossip protocols, i.e., the effects of partial knowledge.