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Modeling user behavior in P2P live video streaming systems through a Bayesian network

Published: 23 June 2010 Publication History

Abstract

Live video streaming over a Peer-to-Peer (P2P) architecture is promising due to its scalability and ease of deployment. Nevertheless, P2P-based video streaming systems still face some challenges regarding their performance. These systems are in fact overlays of users who control peers. As peers depend upon each other for receiving the video stream, the user behavior has an impact over the performance of the system. We collect the user behavior studies over live video streaming systems and identify the impact of different user activities on the performance. Based on this information, we propose a Bayesian network that models a generic user behavior initially and then adapts itself to individuals through learning from observations. We validate our model through simulations.

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Cited By

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  • (2012)ShadowStreamACM SIGCOMM Computer Communication Review10.1145/2377677.237775142:4(347-358)Online publication date: 13-Aug-2012
  • (2012)ShadowStreamProceedings of the ACM SIGCOMM 2012 conference on Applications, technologies, architectures, and protocols for computer communication10.1145/2342356.2342430(347-358)Online publication date: 13-Aug-2012

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Information & Contributors

Information

Published In

cover image Guide Proceedings
AIMS'10: Proceedings of the Mechanisms for autonomous management of networks and services, and 4th international conference on Autonomous infrastructure, management and security
June 2010
179 pages
ISBN:364213985X
  • Editors:
  • Burkhard Stiller,
  • Filip De Turck

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 23 June 2010

Author Tags

  1. Bayesian networks
  2. IPTV
  3. P2P
  4. user behavior

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View all
  • (2012)ShadowStreamACM SIGCOMM Computer Communication Review10.1145/2377677.237775142:4(347-358)Online publication date: 13-Aug-2012
  • (2012)ShadowStreamProceedings of the ACM SIGCOMM 2012 conference on Applications, technologies, architectures, and protocols for computer communication10.1145/2342356.2342430(347-358)Online publication date: 13-Aug-2012

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