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An efficient bandwidth-sharing technique for true video on demand systems

Published: 30 October 1999 Publication History

Abstract

Patching is a cost efficient channel-sharing technique for video-on-demand systems. However, its performance is limited due to the fact that a video stream cannot be shared unless it delivers the video in its entirety. As a result, larger and larger patches are required to serve new requests as the temporal distance increases. To avoid the overwhelming accumulation of patching cost, the entire video must be delivered frequently. In this paper, we address this problem by introducing a new technique called Transition Patching. Our performance study shows that the new scheme outperforms the existing approach under all scenarios. In particular, the performance gain is more significant when the request rate is higher. We note that such improvement is achieved without extra download bandwidth required at the client site. The implementation cost, therefore, is the same as the original Patching scheme.

References

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Cited By

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  • (2014)A scalable delivery solution and a pricing model for commercial video-on-demand systems with video advertisementsMultimedia Tools and Applications10.1007/s11042-013-1597-373:3(1417-1443)Online publication date: 1-Dec-2014
  • (2013)Request-Based Multicasting in Video-on-Demand SystemsBuilding Next-Generation Converged Networks10.1201/b14574-3(3-35)Online publication date: 6-May-2013
  • (2012)Client-driven price selection for scalable video streaming with advertisementsProceedings of the 18th international conference on Advances in Multimedia Modeling10.1007/978-3-642-27355-1_40(429-439)Online publication date: 4-Jan-2012
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cover image ACM Conferences
MULTIMEDIA '99: Proceedings of the seventh ACM international conference on Multimedia (Part 1)
October 1999
516 pages
ISBN:1581131518
DOI:10.1145/319463
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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Publication History

Published: 30 October 1999

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MM99: ACM Multimedia 1999
October 30 - November 5, 1999
Florida, Orlando, USA

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

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Cited By

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  • (2014)A scalable delivery solution and a pricing model for commercial video-on-demand systems with video advertisementsMultimedia Tools and Applications10.1007/s11042-013-1597-373:3(1417-1443)Online publication date: 1-Dec-2014
  • (2013)Request-Based Multicasting in Video-on-Demand SystemsBuilding Next-Generation Converged Networks10.1201/b14574-3(3-35)Online publication date: 6-May-2013
  • (2012)Client-driven price selection for scalable video streaming with advertisementsProceedings of the 18th international conference on Advances in Multimedia Modeling10.1007/978-3-642-27355-1_40(429-439)Online publication date: 4-Jan-2012
  • (2011)Multimedia StreamingHandbook of Computer Networks10.1002/9781118256053.ch17(282-292)Online publication date: 7-Nov-2011
  • (2010)Detailed performance and waiting-time predictability analysis of scheduling options in on-demand video streamingJournal on Image and Video Processing10.1155/2010/8426972010(1-20)Online publication date: 1-Jan-2010
  • (2010)Efficient delivery of on-demand video streams to heterogeneous receiversACM Transactions on Multimedia Computing, Communications, and Applications10.1145/1823746.18237546:3(1-25)Online publication date: 27-Aug-2010
  • (2010)Waiting-time prediction in scalable on-demand video streamingACM Transactions on Multimedia Computing, Communications, and Applications10.1145/1671962.16719676:2(1-25)Online publication date: 23-Mar-2010
  • (2009)Multicast video-on-demand service in an enterprise network with client-assisted patchingMultimedia Tools and Applications10.1007/s11042-008-0257-543:1(63-90)Online publication date: 1-May-2009
  • (2009)Performance and Waiting-Time Predictability Analysis of Design Options in Cost-Based Scheduling for Scalable Media StreamingProceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling10.1007/978-3-540-92892-8_16(150-162)Online publication date: 6-Jan-2009
  • (2008)A GA-based movie-on-demand platform using multiple distributed serversMultimedia Tools and Applications10.1007/s11042-008-0211-640:3(361-383)Online publication date: 1-Dec-2008
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