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dc.contributor.authorHo, Chien-Pengen_US
dc.contributor.authorSun, Yu-Chenen_US
dc.contributor.authorYu, Jen-Yuen_US
dc.contributor.authorLee, Suh-Yinen_US
dc.date.accessioned2017-04-21T06:49:55Z-
dc.date.available2017-04-21T06:49:55Z-
dc.date.issued2012en_US
dc.identifier.isbn978-1-4673-4587-3en_US
dc.identifier.isbn978-1-4673-4585-9en_US
dc.identifier.issn2475-8388en_US
dc.identifier.urihttp://hdl.handle.net/11536/135493-
dc.description.abstractThis article aims to discuss the replication principle that underlies correlations between peer-network conditions and video quality impacts over unstructured peer-to-peer (P2P) video-on-demand (VoD) overlay networks. In particular, the conditions of a network path among peers, such as communication latencies, packet buffer status, and upload bandwidth, can be used to develop failover mechanisms that enable recovery from a failure in part of the P2P VoD system. The failure recovery can be accomplished by using the resource-aware replication strategy, which can deploy high video quality impacts and popular media-data replicas to the movie time-scale of low averaged resource rate and discontinuous area. The simulation results demonstrate that replicas of popular and high video-distortion data are significant and reflect physical demands. In addition, the averaged visual quality of video can be enhanced, and the load imposed on a VoD server can be reduced, through facilitating proper progression of replication strategy.en_US
dc.language.isoen_USen_US
dc.subjectpeer-to-peeren_US
dc.subjectoverlay networksen_US
dc.subjectreplicationen_US
dc.subjectVoDen_US
dc.subjectvideo-on-demanden_US
dc.subjectmultimedia communicationsen_US
dc.titleResource-aware Replication Strategies in P2P VoD Services with Scalable Video Streamsen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2012 2ND INTERNATIONAL CONFERENCE ON APPLIED ROBOTICS FOR THE POWER INDUSTRY (CARPI)en_US
dc.citation.spage386en_US
dc.citation.epage390en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000393821600107en_US
dc.citation.woscount0en_US
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