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dc.contributor.authorCores Prado, Fernando
dc.contributor.authorRipoll, A.
dc.contributor.authorQazzaz, Bahjat
dc.contributor.authorSuppi, Remo
dc.contributor.authorYang, Xiaoyuan
dc.contributor.authorHernandez, Porfidio
dc.contributor.authorLuque, Emilio
dc.date.accessioned2016-07-11T12:44:18Z
dc.date.issued2003
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/10459.1/57429
dc.description.abstractDistributed Video-on-Demand (DVoD) systems are proposed as a solution to the limited streaming capacity and null scalability of centralized systems. In a previous work, we proposed a fully distributed large-scale VoD architecture, called Double P-Tree, which has shown itself to be a good approach to the design of flexible and scalable DVoD systems. In this paper, we present relevant design aspects related to video mapping and traffic balancing in order to improve Double P-Tree architecture performance. Our simulation results demonstrate that these techniques yield a more efficient system and considerably increase its streaming capacity. The results also show the crucial importance of topology connectivity in improving multicasting performance in DVoD systems. Finally, a comparison among several DVoD architectures was performed using simulation, and the results show that the Double P-Tree architecture incorporating mapping and load balancing policies outperforms similar DVoD architectures.ca_ES
dc.description.sponsorshipThis work was supported by the MCyT-Spain under contract TIC 2001-2592 and partially supported by the Generalitat de Catalunya- Grup de Recerca Consolidat 2001SGR-00218.ca_ES
dc.language.isoengca_ES
dc.publisherSpringer Verlagca_ES
dc.relationMICYT/PN2000-2003/TIC2001-2592ca_ES
dc.relation.isformatofVersió postprint del document publicat a https://doi.org/10.1007/978-3-540-45209-6_118ca_ES
dc.relation.ispartofLecture Notes in Computer Science, 2003, vol. 2790, p. 859-869ca_ES
dc.rights(c) Springer Verlag, 2003ca_ES
dc.titleExploiting Traffic Balancing and Multicast Efficiency in Distributed Video-on-Demand Architecturesca_ES
dc.typearticleca_ES
dc.identifier.idgrec005233
dc.type.versionacceptedVersionca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_ES
dc.identifier.doihttps://doi.org/10.1007/978-3-540-45209-6_118


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