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Catching and selective catching: efficient latency reduction techniques for delivering continuous multimedia streams

Authors:

Lixin Gao,

Zhi-Li Zhang,

Don TowsleyAuthors Info & Claims

MULTIMEDIA '99: Proceedings of the seventh ACM international conference on Multimedia (Part 1)

Pages 203 - 206

https://doi.org/10.1145/319463.319603

Published: 30 October 1999 Publication History

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Abstract

We present a novel video streaming technique called catching for on-demand delivery of “hot” (i.e., frequently accessed) video objects to a large number of clients. This technique not only significantly reduces the server and network resource requirements but also is capable of providing near-instantaneous service to a large number of clients. By combining this technique for delivery of “hot” video objects with controlled multicast [4] for delivery of “cold” video objects, we design an efficient video delivery scheme referred to as selective catching. Through empirical studies, we demonstrate the efficacy of the proposed video delivery schemes.

References

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A. Dan and P. Shahabuddin and D. Sitararn, "Scheduling policies for an on-demand video server with batching". In Proc. of A CM Multimedia, October 1994, pp. 168-179.

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[4]

L. Gag, D. Towsley, "Supplyin/; Instantaneous Video-on- Demand Services Using Controlled Multicast," Proceedings of IEEE Multimedia Computing and Systems, Florence, Italy, June 1999.

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[5]

L. Gag, Z.-L. Zhang and D. Towsley, "Catching and Selective Catching: Et~cient Latency Reduction Techniques for Delivering Continuous Multimedia Streams," http: / / cs .smith .ed u / ~ao / proxy _journal. rex.

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Shin GJin SMah POho C(2015)Greedy Request Scheduling to Reduce Initial Latency for Vod SystemsInternational Journal of Computers and Applications10.1080/1206212X.2002.1144166524:2(93-99)Online publication date: 11-Jul-2015
https://doi.org/10.1080/1206212X.2002.11441665
Fageeri SAhmad R(2014)An Efficient Log File Analysis Algorithm Using Binary-based Data StructureProcedia - Social and Behavioral Sciences10.1016/j.sbspro.2014.03.709129(518-526)Online publication date: May-2014
https://doi.org/10.1016/j.sbspro.2014.03.709
Fageeri SAhmad RBaharum B(2013)A Log File Analysis Technique Using Binary-Based ApproachProceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013)10.1007/978-981-4585-18-7_1(3-11)Online publication date: 15-Dec-2013
https://doi.org/10.1007/978-981-4585-18-7_1
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Catching and selective catching: efficient latency reduction techniques for delivering continuous multimedia streams

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Published In

MULTIMEDIA '99: Proceedings of the seventh ACM international conference on Multimedia (Part 1)

October 1999

516 pages

ISBN:1581131518

DOI:10.1145/319463

Chairmen:
John Buford
GTE Laboratories
,
Scott Stevens
Carnegie Mellon Univ.
,
Dick Bulterman
CWI
,
Kevin Jeffay
Univ. of North Carolina, Chapel Hill
,
HongJiang Zhang
Microsoft Research, China

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 30 October 1999

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October 30 - November 5, 1999

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Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Shin GJin SMah POho C(2015)Greedy Request Scheduling to Reduce Initial Latency for Vod SystemsInternational Journal of Computers and Applications10.1080/1206212X.2002.1144166524:2(93-99)Online publication date: 11-Jul-2015
https://doi.org/10.1080/1206212X.2002.11441665
Fageeri SAhmad R(2014)An Efficient Log File Analysis Algorithm Using Binary-based Data StructureProcedia - Social and Behavioral Sciences10.1016/j.sbspro.2014.03.709129(518-526)Online publication date: May-2014
https://doi.org/10.1016/j.sbspro.2014.03.709
Fageeri SAhmad RBaharum B(2013)A Log File Analysis Technique Using Binary-Based ApproachProceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013)10.1007/978-981-4585-18-7_1(3-11)Online publication date: 15-Dec-2013
https://doi.org/10.1007/978-981-4585-18-7_1
Rong MXu FZhao JWang X(2012)GMaker: A video recommendation module for peer-assisted VoDPeer-to-Peer Networking and Applications10.1007/s12083-012-0176-07:1(41-52)Online publication date: 22-Nov-2012
https://doi.org/10.1007/s12083-012-0176-0
Zhu Qiang Hua Zhongsheng (2010)The replacement algorithm of compatible with wireles based on plus model2010 3rd International Conference on Computer Science and Information Technology10.1109/ICCSIT.2010.5564897(258-261)Online publication date: Jul-2010
https://doi.org/10.1109/ICCSIT.2010.5564897
Qudah BSarhan N(2009)Workload-aware resource sharing and cache management for scalable video streamingIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2009.201349819:3(386-396)Online publication date: 1-Mar-2009
https://dl.acm.org/doi/10.1109/TCSVT.2009.2013498
Chand SKumar BOm H(2009)Video Data Delivery using Slotted PatchingJournal of Network and Computer Applications10.1016/j.jnca.2008.07.00432:3(660-665)Online publication date: 1-May-2009
https://dl.acm.org/doi/10.1016/j.jnca.2008.07.004
Kulkarni SPâris JShah P(2008)A stream tapping protocol involving clients in the distribution of videos on demandAdvances in Multimedia10.1155/2008/2653092008:2(1-9)Online publication date: 1-Jan-2008
https://dl.acm.org/doi/10.1155/2008/265309
Kusmierek EDu D(2008)Proxy-assisted periodic broadcast for video streaming with multiple serversMultimedia Tools and Applications10.1007/s11042-007-0135-636:3(243-266)Online publication date: 1-Feb-2008
https://dl.acm.org/doi/10.1007/s11042-007-0135-6
Wu MMa SShu W(2006)Scheduled video delivery-a scalable on-demand video delivery schemeIEEE Transactions on Multimedia10.1109/TMM.2005.8612808:1(179-187)Online publication date: 1-Sep-2006
https://dl.acm.org/doi/10.1109/TMM.2005.861280
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Medusa: a novel stream-scheduling scheme for parallel video servers

Scheduled video delivery-a scalable on-demand video delivery scheme

Supplying Instantaneous Video-on-Demand Services Using Controlled Multicast

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Medusa: a novel stream-scheduling scheme for parallel video servers

Scheduled video delivery-a scalable on-demand video delivery scheme

Supplying Instantaneous Video-on-Demand Services Using Controlled Multicast

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