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Toward user-classified P2P IPTV systems: A persona-based approach

Ihsan Ullah 1 Guillaume Doyen 1 Grégory Bonnet 2 Dominique Gaïti 1
1 ERA - Environnement de Réseaux Autonomes
ICD - Institut Charles Delaunay
2 Equipe MAD - Laboratoire GREYC - UMR6072
GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen
Abstract : Peer-to-Peer (P2P) approaches are a promising choice for media streaming in order to reach a global audience and to ease the deployment of such services. However, since P2P systems are in fact networks of users where the latter directly control the peers, user behavior is critical to the performance of these systems. Current literature propose global behavior models which do not help greatly to design adaptive control mechanism at peer level. In this paper, we propose a classification mechanism that associates a video streaming user to a behavioral class. This classification can help in building user-aware systems optimized for an improved streaming quality. We validate our model through simulations over a thousand users on a hundredday period. We also present a proof-of-concept application of our classifier for the design of churn-resilient topologies that can be used by service providers or network operators in P2P IPTV applications.
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Conference papers
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https://hal-utt.archives-ouvertes.fr/hal-02622505
Contributor : Jean-Baptiste Vu Van <>
Submitted on : Tuesday, May 26, 2020 - 5:51:59 AM
Last modification on : Wednesday, May 27, 2020 - 3:59:49 AM

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  • HAL Id : hal-02622505, version 1

Citation

Ihsan Ullah, Guillaume Doyen, Grégory Bonnet, Dominique Gaïti. Toward user-classified P2P IPTV systems: A persona-based approach. 2013 IFIP/IEEE International Symposium on Integrated Network Management (IM 2013), May 2013, Ghent, Belgium. ⟨hal-02622505⟩

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