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Conference Paper: Multi-channel live P2P streaming: Refocusing on servers

TitleMulti-channel live P2P streaming: Refocusing on servers
Authors
KeywordsBoolean Functions
Competition
Computer Networks
Distributed Computer Systems
Electric Load Forecasting
Internet
Internet Service Providers
Learning Algorithms
Telecommunication Systems
Issue Date2008
PublisherI E E E, Computer Society. The Journal's web site is located at http://www.ieee-infocom.org/
Citation
Proceedings - Ieee Infocom, 2008, p. 2029-2037 How to Cite?
AbstractDue to peer instability and time-varying peer up-load bandwidth availability in live peer-to-peer (F2P) streaming channels, it is preferable to provision adequate levels of stable upload capacities at dedicated streaming servers, in order to guarantee the streaming quality in all channels. Most commercial P2P streaming systems have resorted to the practice of over-provisioning upload capacities on streaming servers. In this paper, we have performed a detailed analysis on 400 GB and 7 months of run-time traces from UUSee, a commercial P2P streaming system, and observed that available capacities on streaming servers are not able to keep up with the increasing demand imposed by hundreds of channels. We propose a novel online server capacity provisioning algorithm that proactively adjusts the server capacities available to each of the concurrent channels, such that the supply of server bandwidth in each channel dynamically adapts to the forecasted demand, taking into account the number of peers, the streaming quality, and the priorities of channels. The algorithm is able to learn over time, and has full ISP awareness to maximally constrain P2P traffic within ISP boundaries. To evaluate the effectiveness of our solution, our experimental studies are based on an implementation of the algorithm with actual channels of P2P streaming traffic, with real-world traces replayed within a server cluster. © 2008 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/92665
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorWu, Cen_HK
dc.contributor.authorLi, Ben_HK
dc.contributor.authorZhao, Sen_HK
dc.date.accessioned2010-09-17T10:53:28Z-
dc.date.available2010-09-17T10:53:28Z-
dc.date.issued2008en_HK
dc.identifier.citationProceedings - Ieee Infocom, 2008, p. 2029-2037en_HK
dc.identifier.issn0743-166Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/92665-
dc.description.abstractDue to peer instability and time-varying peer up-load bandwidth availability in live peer-to-peer (F2P) streaming channels, it is preferable to provision adequate levels of stable upload capacities at dedicated streaming servers, in order to guarantee the streaming quality in all channels. Most commercial P2P streaming systems have resorted to the practice of over-provisioning upload capacities on streaming servers. In this paper, we have performed a detailed analysis on 400 GB and 7 months of run-time traces from UUSee, a commercial P2P streaming system, and observed that available capacities on streaming servers are not able to keep up with the increasing demand imposed by hundreds of channels. We propose a novel online server capacity provisioning algorithm that proactively adjusts the server capacities available to each of the concurrent channels, such that the supply of server bandwidth in each channel dynamically adapts to the forecasted demand, taking into account the number of peers, the streaming quality, and the priorities of channels. The algorithm is able to learn over time, and has full ISP awareness to maximally constrain P2P traffic within ISP boundaries. To evaluate the effectiveness of our solution, our experimental studies are based on an implementation of the algorithm with actual channels of P2P streaming traffic, with real-world traces replayed within a server cluster. © 2008 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.ispartofProceedings - IEEE INFOCOMen_HK
dc.subjectBoolean Functionsen_HK
dc.subjectCompetitionen_HK
dc.subjectComputer Networksen_HK
dc.subjectDistributed Computer Systemsen_HK
dc.subjectElectric Load Forecastingen_HK
dc.subjectInterneten_HK
dc.subjectInternet Service Providersen_HK
dc.subjectLearning Algorithmsen_HK
dc.subjectTelecommunication Systemsen_HK
dc.titleMulti-channel live P2P streaming: Refocusing on serversen_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/INFOCOM.2007.193en_HK
dc.identifier.scopuseid_2-s2.0-51349168707en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-51349168707&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage2029en_HK
dc.identifier.epage2037en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridWu, C=15836048100en_HK
dc.identifier.scopusauthoridLi, B=35248588700en_HK
dc.identifier.scopusauthoridZhao, S=22137150800en_HK

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