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The effectiveness of intelligent scheduling for multicast video-on-demand

Published: 19 October 2009 Publication History

Abstract

As more and more video content is made available and accessed on-demand, content and service providers face challenges of scale. Today's delivery mechanisms, especially unicast, require resources to scale linearly with the number of receivers and library sizes. Unlike these mechanisms, with multicast, the load on a server is relatively independent of the number of receivers. Adopting multicast for on-demand access, however, is challenging because of the need to temporally aggregate requests. In this paper, we investigate the importance of an intelligent scheduler and a good data model for achieving good aggregation of requests into multicast groups. We examine the use of an Earliest Deadline First (EDF)-like scheduler that aims to schedule the transmission of "chunks" of video according to their "deadlines" using multicast. We show through analysis that this approach is optimal in terms of the data transmitted by the server. Using trace data from an operational service, we show that our approach reduces server bandwidth by as much as 65% compared to traditional techniques such as unicast and cyclic multicast. Finally, our approach achieves good aggregation even when 50% of the users use a typical VoD stream-control function like skip, to view different parts of the video.

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Cited By

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  • (2021)Exploiting Reliable and Scalable Multicast Services in IaaS DatacentersIEEE Transactions on Services Computing10.1109/TSC.2018.287773314:5(1370-1383)Online publication date: 1-Sep-2021
  • (2019)Multi-Tier Caching Analysis in CDN-Based Over-the-Top Video Streaming SystemsIEEE/ACM Transactions on Networking10.1109/TNET.2019.290043427:2(835-847)Online publication date: 1-Apr-2019
  • (2017)VoDCast: Efficient SDN-based multicast for video on demand2017 IEEE 18th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)10.1109/WoWMoM.2017.7974319(1-6)Online publication date: Jun-2017
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Published In

cover image ACM Conferences
MM '09: Proceedings of the 17th ACM international conference on Multimedia
October 2009
1202 pages
ISBN:9781605586083
DOI:10.1145/1631272
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: 19 October 2009

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Author Tags

  1. EDF
  2. VoD
  3. multicast
  4. scheduling

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  • Research-article

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MM09
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MM09: ACM Multimedia Conference
October 19 - 24, 2009
Beijing, China

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

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Cited By

View all
  • (2021)Exploiting Reliable and Scalable Multicast Services in IaaS DatacentersIEEE Transactions on Services Computing10.1109/TSC.2018.287773314:5(1370-1383)Online publication date: 1-Sep-2021
  • (2019)Multi-Tier Caching Analysis in CDN-Based Over-the-Top Video Streaming SystemsIEEE/ACM Transactions on Networking10.1109/TNET.2019.290043427:2(835-847)Online publication date: 1-Apr-2019
  • (2017)VoDCast: Efficient SDN-based multicast for video on demand2017 IEEE 18th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)10.1109/WoWMoM.2017.7974319(1-6)Online publication date: Jun-2017
  • (2017)Reliable multicast routing with uncertain sources2017 IEEE/ACM 25th International Symposium on Quality of Service (IWQoS)10.1109/IWQoS.2017.7969158(1-6)Online publication date: Jun-2017
  • (2017)Service Overlay Forest Embedding for Software-Defined Cloud Networks2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS)10.1109/ICDCS.2017.62(720-730)Online publication date: Jun-2017
  • (2017)Collaborate Algorithms for the Multi-channel Program Download Problem in VOD ApplicationsCollaborate Computing: Networking, Applications and Worksharing10.1007/978-3-319-59288-6_30(333-342)Online publication date: 5-Jul-2017
  • (2016)SAIDProceedings of the 3rd ACM Conference on Information-Centric Networking10.1145/2984356.2984370(11-20)Online publication date: 26-Sep-2016
  • (2016)A Downlink Scheduler for Multicasting Wireless Video-on-DemandIEEE Transactions on Mobile Computing10.1109/TMC.2016.253524815:12(2921-2938)Online publication date: 1-Dec-2016
  • (2016)A Scalable Solution for Interactive Near Video-on-Demand SystemsIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2015.247870826:10(1907-1916)Online publication date: 1-Oct-2016
  • (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
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