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Conference Paper: Magellan: Charting large-scale peer-to-peer live streaming topologies

TitleMagellan: Charting large-scale peer-to-peer live streaming topologies
Authors
KeywordsData Structures
Data Transfer
Graphic Methods
Network Protocols
Topology
Issue Date2007
Citation
Proceedings - International Conference On Distributed Computing Systems, 2007 How to Cite?
AbstractLive peer-to-peer (P2P) streaming applications have been successfully deployed in the Internet. With relatively simple peer selection protocol design, modern live P2P streaming applications are able to provide millions of concurrent users adequately satisfying viewing experiences. That said, few existing research has provided sufficient insights on the time-varying internal characteristics of P2P topologies in live streaming. With 120 GB worth of traces in late 2006 from a commercial P2P live streaming system of UUSee Inc. in Beijing, this paper represents the first attempt in the research community to explore topological properties in practical P2P streaming, and how they behave over time. Starting from classical graph metrics, such as degree, clustering coefficient, and reciprocity, we explore and extend them in specific perspectives of streaming applications. We also compare our findings with existing insights from topological studies of P2P file sharing applications, which shed new and unique insights specific to streaming. Our characterization reveals the scalability of the commercial P2P streaming application even in case of large flash crowds, the clustering phenomenon of peers in each ISP, as well as the reciprocal behavior among peers, all of which play important roles in achieving its current success. © 2007 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/92646
References

 

DC FieldValueLanguage
dc.contributor.authorWu, Cen_HK
dc.contributor.authorLi, Ben_HK
dc.contributor.authorZhao, Sen_HK
dc.date.accessioned2010-09-17T10:52:55Z-
dc.date.available2010-09-17T10:52:55Z-
dc.date.issued2007en_HK
dc.identifier.citationProceedings - International Conference On Distributed Computing Systems, 2007en_HK
dc.identifier.urihttp://hdl.handle.net/10722/92646-
dc.description.abstractLive peer-to-peer (P2P) streaming applications have been successfully deployed in the Internet. With relatively simple peer selection protocol design, modern live P2P streaming applications are able to provide millions of concurrent users adequately satisfying viewing experiences. That said, few existing research has provided sufficient insights on the time-varying internal characteristics of P2P topologies in live streaming. With 120 GB worth of traces in late 2006 from a commercial P2P live streaming system of UUSee Inc. in Beijing, this paper represents the first attempt in the research community to explore topological properties in practical P2P streaming, and how they behave over time. Starting from classical graph metrics, such as degree, clustering coefficient, and reciprocity, we explore and extend them in specific perspectives of streaming applications. We also compare our findings with existing insights from topological studies of P2P file sharing applications, which shed new and unique insights specific to streaming. Our characterization reveals the scalability of the commercial P2P streaming application even in case of large flash crowds, the clustering phenomenon of peers in each ISP, as well as the reciprocal behavior among peers, all of which play important roles in achieving its current success. © 2007 IEEE.en_HK
dc.languageengen_HK
dc.relation.ispartofProceedings - International Conference on Distributed Computing Systemsen_HK
dc.subjectData Structuresen_HK
dc.subjectData Transferen_HK
dc.subjectGraphic Methodsen_HK
dc.subjectNetwork Protocolsen_HK
dc.subjectTopologyen_HK
dc.titleMagellan: Charting large-scale peer-to-peer live streaming topologiesen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailWu, C:cwu@cs.hku.hken_HK
dc.identifier.authorityWu, C=rp01397en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ICDCS.2007.118en_HK
dc.identifier.scopuseid_2-s2.0-34848821221en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-34848821221&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.scopusauthoridWu, C=15836048100en_HK
dc.identifier.scopusauthoridLi, B=23467418800en_HK
dc.identifier.scopusauthoridZhao, S=22137150800en_HK

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