An evolutionary game approach to P2P video streaming

This paper deals with the allocation of resources and the creation of distribution trees for P2P video streaming. Assuming that the video distribution is based on a Multiple Description Codec (MDC), the proposed approach performs jointly the two tasks, in a completely distributed client-based fashio...

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Main Authors: Chisci, L., Papi, Francesco, Pecorella, T., Fantacci, R.
Format: Conference Paper
Published: 2009
Online Access:http://hdl.handle.net/20.500.11937/19339
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author Chisci, L.
Papi, Francesco
Pecorella, T.
Fantacci, R.
author_facet Chisci, L.
Papi, Francesco
Pecorella, T.
Fantacci, R.
author_sort Chisci, L.
building Curtin Institutional Repository
collection Online Access
description This paper deals with the allocation of resources and the creation of distribution trees for P2P video streaming. Assuming that the video distribution is based on a Multiple Description Codec (MDC), the proposed approach performs jointly the two tasks, in a completely distributed client-based fashion, by means of an evolutionary (socially inspired) game played by all peers. The key idea of the evolutionary game is that each peer continuously measures its own utility (i.e., video quality) and, by periodical comparison with other randomly chosen peers, tries to mimic the behavior (i.e., resource allocation and video distributors) of peers with higher utility. Extensive simulation experiments by Peersim have been carried out in order to assess the performance of the proposed technique. The obtained results have highlighted remarkable benefits in terms of scalability, fast adaptation to churning, high degree of cooperation among peers and self-organization of the distribution multitree network.
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format Conference Paper
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T07:29:57Z
publishDate 2009
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spelling curtin-20.500.11937-193392017-09-13T13:44:34Z An evolutionary game approach to P2P video streaming Chisci, L. Papi, Francesco Pecorella, T. Fantacci, R. This paper deals with the allocation of resources and the creation of distribution trees for P2P video streaming. Assuming that the video distribution is based on a Multiple Description Codec (MDC), the proposed approach performs jointly the two tasks, in a completely distributed client-based fashion, by means of an evolutionary (socially inspired) game played by all peers. The key idea of the evolutionary game is that each peer continuously measures its own utility (i.e., video quality) and, by periodical comparison with other randomly chosen peers, tries to mimic the behavior (i.e., resource allocation and video distributors) of peers with higher utility. Extensive simulation experiments by Peersim have been carried out in order to assess the performance of the proposed technique. The obtained results have highlighted remarkable benefits in terms of scalability, fast adaptation to churning, high degree of cooperation among peers and self-organization of the distribution multitree network. 2009 Conference Paper http://hdl.handle.net/20.500.11937/19339 10.1109/GLOCOM.2009.5425512 restricted
spellingShingle Chisci, L.
Papi, Francesco
Pecorella, T.
Fantacci, R.
An evolutionary game approach to P2P video streaming
title An evolutionary game approach to P2P video streaming
title_full An evolutionary game approach to P2P video streaming
title_fullStr An evolutionary game approach to P2P video streaming
title_full_unstemmed An evolutionary game approach to P2P video streaming
title_short An evolutionary game approach to P2P video streaming
title_sort evolutionary game approach to p2p video streaming
url http://hdl.handle.net/20.500.11937/19339