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Conference Paper: Diagnosing network-wide P2P live streaming inefficiencies

TitleDiagnosing network-wide P2P live streaming inefficiencies
Authors
Issue Date2009
PublisherI E E E, Computer Society. The Journal's web site is located at http://www.ieee-infocom.org/
Citation
The 28th I E E E Conference on Computer Communications (IEEE INFOCOM 2009), Rio de Janeiro, Brazil, 19-25 April 2009. In I E E E Infocom. Proceedings, 2009, p. 2731-2735 How to Cite?
AbstractLarge-scale live peer-to-peer (P2P) streaming applications have been successfully deployed in today's Internet. While they can accommodate millions of users simultaneously with hundreds of channels of programming, there still commonly exist channels and times where and when the streaming quality is unsatisfactory. In this paper, based on more than two terabytes and one year worth of live traces from UUSee, a large-scale commercial P2P live streaming system, we show an in-depth network-wide diagnosis of streaming inefficiencies, commonly present in mesh-based P2P streaming systems. We first identify an evolutionary pattern of low streaming quality in the system and the distribution of streaming inefficiencies across various streaming channels. We then carry out an extensive investigation to explore the causes to such streaming inefficiencies over different times and across different channels at specific times. The original discoveries we have brought forward include the two-sided effects of peer population on the streaming quality in a channel, the significant impact of inter-peer bandwidth bottlenecks at peak times, and the inefficient utilization of server capacities across concurrent channels. We conclude with a number of suggestions to improve real-world large-scale P2P streaming. © 2009 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/92662
ISSN
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorWu, Cen_HK
dc.contributor.authorLi, Ben_HK
dc.contributor.authorZhao, Sen_HK
dc.date.accessioned2010-09-17T10:53:23Z-
dc.date.available2010-09-17T10:53:23Z-
dc.date.issued2009en_HK
dc.identifier.citationThe 28th I E E E Conference on Computer Communications (IEEE INFOCOM 2009), Rio de Janeiro, Brazil, 19-25 April 2009. In I E E E Infocom. Proceedings, 2009, p. 2731-2735en_HK
dc.identifier.issn0743-166Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/92662-
dc.description.abstractLarge-scale live peer-to-peer (P2P) streaming applications have been successfully deployed in today's Internet. While they can accommodate millions of users simultaneously with hundreds of channels of programming, there still commonly exist channels and times where and when the streaming quality is unsatisfactory. In this paper, based on more than two terabytes and one year worth of live traces from UUSee, a large-scale commercial P2P live streaming system, we show an in-depth network-wide diagnosis of streaming inefficiencies, commonly present in mesh-based P2P streaming systems. We first identify an evolutionary pattern of low streaming quality in the system and the distribution of streaming inefficiencies across various streaming channels. We then carry out an extensive investigation to explore the causes to such streaming inefficiencies over different times and across different channels at specific times. The original discoveries we have brought forward include the two-sided effects of peer population on the streaming quality in a channel, the significant impact of inter-peer bandwidth bottlenecks at peak times, and the inefficient utilization of server capacities across concurrent channels. We conclude with a number of suggestions to improve real-world large-scale P2P streaming. © 2009 IEEE.en_HK
dc.languageengen_HK
dc.publisherI E E E, Computer Society. The Journal's web site is located at http://www.ieee-infocom.org/en_HK
dc.relation.ispartofI E E E Infocom. Proceedingsen_HK
dc.rightsI E E E Infocom. Proceedings. Copyright © I E E E Computer Society-
dc.rights©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleDiagnosing network-wide P2P live streaming inefficienciesen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailWu, C:cwu@cs.hku.hken_HK
dc.identifier.authorityWu, C=rp01397en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/INFCOM.2009.5062221en_HK
dc.identifier.scopuseid_2-s2.0-70349661546en_HK
dc.identifier.hkuros161111-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-70349661546&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage2731en_HK
dc.identifier.epage2735en_HK
dc.identifier.isiWOS:000275366201121-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridWu, C=15836048100en_HK
dc.identifier.scopusauthoridLi, B=35248588700en_HK
dc.identifier.scopusauthoridZhao, S=22137150800en_HK
dc.identifier.citeulike6053626-

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