Improving bittorrent’s peer selection for multimedia content on-demand delivery

Detalhes bibliográficos
Autor(a) principal: Streit, Ananda Görck
Data de Publicação: 2015
Outros Autores: Rodrigues, Carlo Kleber da Silva
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional do UniCEUB
Texto Completo: https://repositorio.uniceub.br/jspui/handle/235/7485
Resumo: The great efficiency achieved by the BitTorrent protocol for the distribution of large amounts of data inspired its adoption to provide multimedia content on-demand delivery over the Internet. As it is not designed for this purpose, some adjustments have been proposed in order to meet the related QoS requirements like low startup delay and smooth playback continuity. Accordingly, this paper introduces a BitTorrent-like proposal named as Quota-Based Peer Selection (QBPS). This proposal is mainly based on the adaptation of the original peer-selection policy of the BitTorrent protocol. Its validation is achieved by means of simulations and competitive analysis. The final results show that QBPS outperforms other recent proposals of the literature. For instance, it achieves a throughput optimization of up to 48.0% in low-provision capacity scenarios where users are very interactive.
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spelling Streit, Ananda GörckRodrigues, Carlo Kleber da Silva2016-01-18T10:14:14Z2016-01-18T10:14:14Z2015-112016-01-18https://repositorio.uniceub.br/jspui/handle/235/7485The great efficiency achieved by the BitTorrent protocol for the distribution of large amounts of data inspired its adoption to provide multimedia content on-demand delivery over the Internet. As it is not designed for this purpose, some adjustments have been proposed in order to meet the related QoS requirements like low startup delay and smooth playback continuity. Accordingly, this paper introduces a BitTorrent-like proposal named as Quota-Based Peer Selection (QBPS). This proposal is mainly based on the adaptation of the original peer-selection policy of the BitTorrent protocol. Its validation is achieved by means of simulations and competitive analysis. The final results show that QBPS outperforms other recent proposals of the literature. For instance, it achieves a throughput optimization of up to 48.0% in low-provision capacity scenarios where users are very interactive.Submitted by Haia Cristina Rebouças de Almeida (haia.almeida@uniceub.br) on 2016-01-18T10:14:13Z No. of bitstreams: 1 artigoInt7615cnc08-Nov2015.pdf: 579796 bytes, checksum: b8b95c39ddb0f6d2823cde382f470730 (MD5)Made available in DSpace on 2016-01-18T10:14:14Z (GMT). No. of bitstreams: 1 artigoInt7615cnc08-Nov2015.pdf: 579796 bytes, checksum: b8b95c39ddb0f6d2823cde382f470730 (MD5)BitTorrentMultimediaStreamingVideo on demandInteractivityImproving bittorrent’s peer selection for multimedia content on-demand deliveryinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleengreponame:Repositório Institucional do UniCEUBinstname:Centro de Ensino de Brasília (UNICEUB)instacron:UNICEUBinfo:eu-repo/semantics/openAccessORIGINALartigoInt7615cnc08-Nov2015.pdfartigoInt7615cnc08-Nov2015.pdfapplication/pdf579796https://repositorio.uniceub.br/bitstream/235/7485/1/artigoInt7615cnc08-Nov2015.pdfb8b95c39ddb0f6d2823cde382f470730MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.uniceub.br/bitstream/235/7485/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52TEXTartigoInt7615cnc08-Nov2015.pdf.txtartigoInt7615cnc08-Nov2015.pdf.txtExtracted texttext/plain45182https://repositorio.uniceub.br/bitstream/235/7485/3/artigoInt7615cnc08-Nov2015.pdf.txt7bdb33725aac3ac71fe60dd098c92ab8MD53235/74852019-05-27 12:47:26.979oai:repositorio.uniceub.br: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Repositório de PublicaçõesPRIhttps://repositorio.uniceub.br/oai/requestopendoar:23612019-05-27T12:47:26Repositório Institucional do UniCEUB - Centro de Ensino de Brasília (UNICEUB)false
dc.title.pt_BR.fl_str_mv Improving bittorrent’s peer selection for multimedia content on-demand delivery
title Improving bittorrent’s peer selection for multimedia content on-demand delivery
spellingShingle Improving bittorrent’s peer selection for multimedia content on-demand delivery
Streit, Ananda Görck
BitTorrent
Multimedia
Streaming
Video on demand
Interactivity
title_short Improving bittorrent’s peer selection for multimedia content on-demand delivery
title_full Improving bittorrent’s peer selection for multimedia content on-demand delivery
title_fullStr Improving bittorrent’s peer selection for multimedia content on-demand delivery
title_full_unstemmed Improving bittorrent’s peer selection for multimedia content on-demand delivery
title_sort Improving bittorrent’s peer selection for multimedia content on-demand delivery
author Streit, Ananda Görck
author_facet Streit, Ananda Görck
Rodrigues, Carlo Kleber da Silva
author_role author
author2 Rodrigues, Carlo Kleber da Silva
author2_role author
dc.contributor.author.fl_str_mv Streit, Ananda Görck
Rodrigues, Carlo Kleber da Silva
dc.subject.por.fl_str_mv BitTorrent
Multimedia
Streaming
Video on demand
Interactivity
topic BitTorrent
Multimedia
Streaming
Video on demand
Interactivity
description The great efficiency achieved by the BitTorrent protocol for the distribution of large amounts of data inspired its adoption to provide multimedia content on-demand delivery over the Internet. As it is not designed for this purpose, some adjustments have been proposed in order to meet the related QoS requirements like low startup delay and smooth playback continuity. Accordingly, this paper introduces a BitTorrent-like proposal named as Quota-Based Peer Selection (QBPS). This proposal is mainly based on the adaptation of the original peer-selection policy of the BitTorrent protocol. Its validation is achieved by means of simulations and competitive analysis. The final results show that QBPS outperforms other recent proposals of the literature. For instance, it achieves a throughput optimization of up to 48.0% in low-provision capacity scenarios where users are very interactive.
publishDate 2015
dc.date.criacao.none.fl_str_mv 2016-01-18
dc.date.issued.fl_str_mv 2015-11
dc.date.accessioned.fl_str_mv 2016-01-18T10:14:14Z
dc.date.available.fl_str_mv 2016-01-18T10:14:14Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
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dc.identifier.uri.fl_str_mv https://repositorio.uniceub.br/jspui/handle/235/7485
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dc.language.iso.fl_str_mv eng
language eng
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dc.source.none.fl_str_mv reponame:Repositório Institucional do UniCEUB
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instacron_str UNICEUB
institution UNICEUB
reponame_str Repositório Institucional do UniCEUB
collection Repositório Institucional do UniCEUB
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