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Article: Supporting interactive video-on-demand with adaptive multicast streaming

TitleSupporting interactive video-on-demand with adaptive multicast streaming
Authors
KeywordsEmbedded simulator
Interactive playback control
Just-in-time
Multicast streaming
Video-on-demand (VoD)
Issue Date2007
Citation
Ieee Transactions On Circuits And Systems For Video Technology, 2007, v. 17 n. 2, p. 129-141 How to Cite?
AbstractRecent advances in multicast video streaming algorithms have opened up new ways to provision video-on-demand services to potentially millions of users. However, the spectacular efficiency of multicast streaming algorithms can only be realized by restricting or even prohibiting interactive playback control. Experiments reveal that the performance of current state-of-the-art multicast streaming algorithms will degrade significantly even at very low levels of interactivity (e.g., one control per five users). This study tackles this challenge by investigating the fundamental limitations of multicast streaming algorithms in supporting interactive playback control and presents a general solution - static full stream scheduling (SFSS) - which can be applied to many of the existing multicast streaming algorithms to substantially improve their performance when interactive playback control is to be supported. Moreover, to solve the problem of optimizing the algorithm for the often unknown client access patterns (e.g., arrival rates and interactivity rates), we present a novel just-in-time simulation (JTS) scheme to dynamically and automatically tune operating parameters of the SFSS algorithm while the system is online. This JTS scheme not only eliminates the need for a priori knowledge of the often unknown system parameters, but also can adapt to changes in the client access pattern over time. Extensive simulation results show that the proposed adaptive algorithm can reduce the admission and interactive control latencies by as much as 90%. © 2007 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/73649
ISSN
2015 Impact Factor: 2.254
2015 SCImago Journal Rankings: 1.606
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorWong, YWen_HK
dc.contributor.authorLee, JYBen_HK
dc.contributor.authorLi, VOKen_HK
dc.contributor.authorChan, GSHen_HK
dc.date.accessioned2010-09-06T06:53:25Z-
dc.date.available2010-09-06T06:53:25Z-
dc.date.issued2007en_HK
dc.identifier.citationIeee Transactions On Circuits And Systems For Video Technology, 2007, v. 17 n. 2, p. 129-141en_HK
dc.identifier.issn1051-8215en_HK
dc.identifier.urihttp://hdl.handle.net/10722/73649-
dc.description.abstractRecent advances in multicast video streaming algorithms have opened up new ways to provision video-on-demand services to potentially millions of users. However, the spectacular efficiency of multicast streaming algorithms can only be realized by restricting or even prohibiting interactive playback control. Experiments reveal that the performance of current state-of-the-art multicast streaming algorithms will degrade significantly even at very low levels of interactivity (e.g., one control per five users). This study tackles this challenge by investigating the fundamental limitations of multicast streaming algorithms in supporting interactive playback control and presents a general solution - static full stream scheduling (SFSS) - which can be applied to many of the existing multicast streaming algorithms to substantially improve their performance when interactive playback control is to be supported. Moreover, to solve the problem of optimizing the algorithm for the often unknown client access patterns (e.g., arrival rates and interactivity rates), we present a novel just-in-time simulation (JTS) scheme to dynamically and automatically tune operating parameters of the SFSS algorithm while the system is online. This JTS scheme not only eliminates the need for a priori knowledge of the often unknown system parameters, but also can adapt to changes in the client access pattern over time. Extensive simulation results show that the proposed adaptive algorithm can reduce the admission and interactive control latencies by as much as 90%. © 2007 IEEE.en_HK
dc.languageengen_HK
dc.relation.ispartofIEEE Transactions on Circuits and Systems for Video Technologyen_HK
dc.subjectEmbedded simulatoren_HK
dc.subjectInteractive playback controlen_HK
dc.subjectJust-in-timeen_HK
dc.subjectMulticast streamingen_HK
dc.subjectVideo-on-demand (VoD)en_HK
dc.titleSupporting interactive video-on-demand with adaptive multicast streamingen_HK
dc.typeArticleen_HK
dc.identifier.emailLi, VOK:vli@eee.hku.hken_HK
dc.identifier.authorityLi, VOK=rp00150en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TCSVT.2006.888839en_HK
dc.identifier.scopuseid_2-s2.0-33847765877en_HK
dc.identifier.hkuros134148en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33847765877&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume17en_HK
dc.identifier.issue2en_HK
dc.identifier.spage129en_HK
dc.identifier.epage141en_HK
dc.identifier.isiWOS:000244117300001-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridWong, YW=16032163300en_HK
dc.identifier.scopusauthoridLee, JYB=7601469824en_HK
dc.identifier.scopusauthoridLi, VOK=7202621685en_HK
dc.identifier.scopusauthoridChan, GSH=26637938100en_HK
dc.identifier.citeulike2401523-

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