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

Published: 21 April 2009 Publication History

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.

References

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Cited By

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  • (2013)Distributed online flash-crowd detection in P2P swarming systemsComputer Communications10.1016/j.comcom.2012.11.01036:5(533-541)Online publication date: 1-Mar-2013
  • (2010)LiveSkyACM Transactions on Multimedia Computing, Communications, and Applications10.1145/1823746.18237506:3(1-19)Online publication date: 27-Aug-2010

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Published In

cover image Guide Proceedings
IPTPS'09: Proceedings of the 8th international conference on Peer-to-peer systems
April 2009
12 pages

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USENIX Association

United States

Publication History

Published: 21 April 2009

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View all
  • (2013)Distributed online flash-crowd detection in P2P swarming systemsComputer Communications10.1016/j.comcom.2012.11.01036:5(533-541)Online publication date: 1-Mar-2013
  • (2010)LiveSkyACM Transactions on Multimedia Computing, Communications, and Applications10.1145/1823746.18237506:3(1-19)Online publication date: 27-Aug-2010

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