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Conference Paper: Distilling superior peers in large-scale P2P streaming systems

TitleDistilling superior peers in large-scale P2P streaming systems
Authors
KeywordsBandwidth
Video Streaming
Issue Date2009
PublisherIEEE, Computer Society. The Journal's web site is located at http://www.ieee-infocom.org/
Citation
The 28th IEEE Conference on Computer Communications (IEEE INFOCOM 2009), Rio de Janeiro, Brazil, 19-25 April 2009. In IEEE Infocom. Proceedings, 2009, p. 82-90 How to Cite?
AbstractIn large-scale peer-to-peer (P2P) live streaming systems with a limited supply of server bandwidth, increasing the amount of upload bandwidth supplied by peers becomes critically important to the "well being" of streaming sessions in live channels. Intuitively, two types of peers are preferred to be kept up in a live session: peers that contribute a higher percentage of their upload capacities, and peers that are stable for a long period of time. The fundamental challenge is to identify, and satisfy the needs of, these types of "superior" peers in a live session, and to achieve this goal with minimum disruption to the traditional pull-based protocols that real-world live streaming protocols use. In this paper, we conduct a comprehensive and in-depth statistical analysis based on more than 130 GB worth of run-time traces from hundreds of streaming channels in a large-scale real-world live streaming system, UUSee (among the top three commercial systems in popularity in mainland China). Our objective is to discover critical factors that may influence the longevity and bandwidth contribution ratio of peers, using survival analysis techniques such as the Cox proportional hazards model and the Mantel-Haenszel test. Once these influential factors are found, they can be used to form a superiority index to distill superior peers from the general peer population. The index can be used in any way to favor superior peers, and we simulate the use of a simple ranking mechanism in a natural selection algorithm to show the effectiveness of the index, based on a replay of real-world traces from UUSee.© 2009 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/92654
ISSN
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorLiu, Zen_HK
dc.contributor.authorWu, Cen_HK
dc.contributor.authorLi, Ben_HK
dc.contributor.authorZhao, Sen_HK
dc.date.accessioned2010-09-17T10:53:09Z-
dc.date.available2010-09-17T10:53:09Z-
dc.date.issued2009en_HK
dc.identifier.citationThe 28th IEEE Conference on Computer Communications (IEEE INFOCOM 2009), Rio de Janeiro, Brazil, 19-25 April 2009. In IEEE Infocom. Proceedings, 2009, p. 82-90en_HK
dc.identifier.issn0743-166Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/92654-
dc.description.abstractIn large-scale peer-to-peer (P2P) live streaming systems with a limited supply of server bandwidth, increasing the amount of upload bandwidth supplied by peers becomes critically important to the "well being" of streaming sessions in live channels. Intuitively, two types of peers are preferred to be kept up in a live session: peers that contribute a higher percentage of their upload capacities, and peers that are stable for a long period of time. The fundamental challenge is to identify, and satisfy the needs of, these types of "superior" peers in a live session, and to achieve this goal with minimum disruption to the traditional pull-based protocols that real-world live streaming protocols use. In this paper, we conduct a comprehensive and in-depth statistical analysis based on more than 130 GB worth of run-time traces from hundreds of streaming channels in a large-scale real-world live streaming system, UUSee (among the top three commercial systems in popularity in mainland China). Our objective is to discover critical factors that may influence the longevity and bandwidth contribution ratio of peers, using survival analysis techniques such as the Cox proportional hazards model and the Mantel-Haenszel test. Once these influential factors are found, they can be used to form a superiority index to distill superior peers from the general peer population. The index can be used in any way to favor superior peers, and we simulate the use of a simple ranking mechanism in a natural selection algorithm to show the effectiveness of the index, based on a replay of real-world traces from UUSee.© 2009 IEEE.en_HK
dc.languageengen_HK
dc.publisherIEEE, Computer Society. The Journal's web site is located at http://www.ieee-infocom.org/en_HK
dc.relation.ispartofIEEE Infocom. Proceedingsen_HK
dc.rightsIEEE 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.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectBandwidthen_HK
dc.subjectVideo Streamingen_HK
dc.titleDistilling superior peers in large-scale P2P streaming systemsen_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.2009.5061909en_HK
dc.identifier.scopuseid_2-s2.0-70349694059en_HK
dc.identifier.hkuros161109-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-70349694059&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage82en_HK
dc.identifier.epage90en_HK
dc.identifier.isiWOS:000275366200010-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridLiu, Z=27267780300en_HK
dc.identifier.scopusauthoridWu, C=15836048100en_HK
dc.identifier.scopusauthoridLi, B=35248588700en_HK
dc.identifier.scopusauthoridZhao, S=22137150800en_HK
dc.identifier.citeulike6053590-

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