%0 Conference Proceedings
%T Modeling User Behavior in P2P Live Video Streaming Systems through a Bayesian Network
%+ Environnement de Réseaux Autonomes (ERA)
%A Ullah, Ihsan
%A Bonnet, Grégory
%A Doyen, Guillaume
%A Gaïti, Dominique
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 4th International Conference on Autonomous Infrastructure, Management and Security (AIMS)
%C Zurich, Switzerland
%Y Burkhard Stiller; Filip Turck
%I Springer
%3 Mechanisms for Autonomous Management of Networks and Services
%V LNCS-6155
%P 2-13
%8 2010-06-23
%D 2010
%R 10.1007/978-3-642-13986-4_2
%K P2P
%K IPTV
%K user behavior
%K Bayesian networks
%Z Computer Science [cs]/Digital Libraries [cs.DL]Conference papers
%X 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.
%G English
%2 https://inria.hal.science/hal-01056628/document
%2 https://inria.hal.science/hal-01056628/file/61550003.pdf
%L hal-01056628
%U https://inria.hal.science/hal-01056628
%~ CNRS
%~ UNIV-TROYES
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-LNCS-6155
%~ IFIP-AIMS
%~ IFIP-2010
%~ UTT
%~ UTT-LIST3N
%~ UTT-GESTION
%~ UTT-FULL-TEXT
%~ ERA-UTT
%~ LIST3N-RECY