research-article

Transport capacity for a catch-up television service

Authors:

Danny De Vleeschauwer,

Zlatka Avramova,

Sabine Wittevrongel,

Herwig BruneelAuthors Info & Claims

EuroITV '09: Proceedings of the 7th European Conference on Interactive TV and Video

Pages 161 - 170

https://doi.org/10.1145/1542084.1542117

Published: 03 June 2009 Publication History

Abstract

One of the biggest advantages of interactive television (TV) is that it allows the viewer to watch the content at his or her most convenient time, either by pausing an ongoing broadcast or by selecting to view the content at a time later than the original airing time. The former service, often referred to as Pause Life TV (PLTV), and the latter, often referred to as Catch-Up TV (CUTV), require that an individual unicast flow is set up per user, whereas for the traditional Linear Programming TV (LPTV) the user just tunes in to a multicast flow that can serve many viewers. We first show that when services like PLTV and CUTV gain in popularity, the transport capacity required in certain parts of the network risks to grow unwieldy, unless the content is replicated (i.e., cached) in the appropriate places in the network. Subsequently, we show that a good caching algorithm that tracks the evolving popularity of the content and takes into account the initial popularity, allows keeping the required capacity under control. Finally, we discuss the trade-offs involved in determining the optimal cache location.

References

[1]

Avramova, Z., De Vleeschauwer, D., Wittevrongel, S., and Bruneel, H. 2007. Dimensioning Multicast-Enabled Networks for IP-Transported TV Channels. In Proceedings of the International Teletraffic Congress "Managing Traffic Performance in Converged Networks" (ITC20), (Ottawa, Canada, June 17-21,2007), 6--17.

Digital Library

[2]

Baggio, A., Van Steen, M. 2005. Distributed Redirection for the World-Wide Web. Computer Networks, vol. 49(6), 2005, 743--765.

Digital Library

[3]

Breslau, L., Cao, P., Fan, L., Phillips, G., and Shenker, S. 1999. Web Caching and Zipf-like Distributions: Evidence and Implications. In Proceedings of the Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM99), vol. 1, (New York (NY), USA, March 21-25, 1999), 126--134.

[4]

Cárdenas, L. G., Gil, J.A., Domènech, J., Sahuquillo, J., and Pont, A. 2005. Performance comparison of a Web cache simulation framework. In Proceedings of the 19th International Conference on Advanced Information Networking and Applications (AINA05), vol. 2, (Taipei, Taiwan, March 28-30 2005), 281--284.

Digital Library

[5]

Chien, W.-D., Yeh, Y.-S., and Wang, J.-S. 2005. Practical Channel Transition for Near-VOD Services. IEEE Transactions on Broadcasting, vol. 51, no. 3, (September 2005), 360-- 365.

[6]

De Vleeschauwer, D., Laevens, K. 2009. Performance of caching algorithms for IPTV on-demand services Transactions on Broadcasting, in press.

[7]

Degrande, N., Laevens, K., De Vleeschauwer, D., Sharpe, and R. 2008. Increasing the user perceived quality for IPTV services. IEEE Communications Magazine, vol. 46, no. 2, (February 2008), 94--100.

Digital Library

[8]

Ho, K.-M., Poon, W.-F., and Lo, K.-T. 2007. Performance Study of Large-Scale Video Streaming Services in Highly Heterogeneous Environment. IEEE Transactions on Broadcasting, vol. 53, no. 4, (December 2007), 763--773.

[9]

http://audience.free.fr

[10]

http://dynamic.abc.go.com/streaming/landing

[11]

http://www.bbc.co.uk/iplayer/

[12]

http://www.uitzendinggemist.nl

[13]

Krogfoss, B., Sofman, L., and Agrawal, A. 2008. Caching architectures and optimization strategies for IPTV Networks. Bell Labs Technical Journal, vol. 13(3), 13--28.

Digital Library

[14]

Nikolaus, B., Ott, J., Bormann, C., and Bormann, U. 2005. Generalized Greedy Broadcasting for Efficient Media-on-Demand Transmissions, vol. 51, no. 3, (September 2005), 354-- 359.

[15]

Poon, W.-F., Lo, K.-T., and Feng, J. 2005. Provision of Continuous VCR Functions in Interactive Broadcast VoD Systems. IEEE Transactions on Broadcasting, vol. 51, vo. 4, (December 2005), 460--472.

[16]

Rabinovich, M., Spatscheck, O. 2002. Web Caching and Replication. Addison Wesley, 2002.

Digital Library

[17]

Shi, L., Gu, Z., Wei, L., and Shi, Y. 2006. An Applicative Study of Zipf's Law on Web Cache. International Journal of Information Technology, vol. 12, no. 4, 49--58.

[18]

Verhoeyen, M., De Vleeschauwer, D., and Robinson, D. 2008. Content storage architectures for boosted IPTV service. Bell Labs Technical Journal, vol. 13(3), 29--43.

Digital Library

[19]

Wauters T. et al. 2007. HFC access network design for switched broadcast TV services. IEEE Transactions on Broadcasting, vol. 53, (June 2007), 588--594.

Cited By

Abreu JNogueira JBecker VCardoso B(2017)Survey of Catch-up TV and other time-shift servicesTelecommunications Systems10.1007/s11235-016-0157-364:1(57-74)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1007/s11235-016-0157-3
Al-Jobouri LFleury MGhanbari M(2014)Engineering wireless broadband access to IPTVJournal of Visual Communication and Image Representation10.1016/j.jvcir.2014.06.01325:7(1493-1506)Online publication date: 1-Oct-2014
https://dl.acm.org/doi/10.1016/j.jvcir.2014.06.013
Abrahamsson HBjorkman M(2013)Caching for IPTV distribution with time-shiftProceedings of the 2013 International Conference on Computing, Networking and Communications (ICNC)10.1109/ICCNC.2013.6504212(916-921)Online publication date: 28-Jan-2013
https://dl.acm.org/doi/10.1109/ICCNC.2013.6504212
Show More Cited By

Index Terms

Transport capacity for a catch-up television service
1. Information systems
  1. Information retrieval
    1. Evaluation of retrieval results
    2. Search engine architectures and scalability
      1. Distributed retrieval
      2. Peer-to-peer retrieval
  2. Information storage systems
    1. Storage architectures
      1. Distributed storage

Recommendations

Performance analysis of a caching algorithm for a catch-up television service

The catch-up TV (CUTV) service allows users to watch video content that was previously broadcast live on TV channels and later placed on an on-line video store. Upon a request from a user to watch a recently missed episode of his/her favourite TV series,...
Catch-up TV analytics: statistical characterization and consumption patterns identification on a production service

Multimedia IP Television services, such as on-demand Catch-up TV, are in an active migration process towards Over-The-Top (OTT) delivery using state-of-the-art Content Delivery Networks (CDNs). Maintaining the same Quality-of-Experience (QoE) of managed ...
Survey of Catch-up TV and other time-shift services: a comprehensive analysis and taxonomy of linear and nonlinear television

This study analyzes recent changes on the television (TV) market, and the transformation of TV consumption habits, motivated by new transmission and recording technologies. Through an international survey spanning 62 countries and 4 continents, a ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

EuroITV '09: Proceedings of the 7th European Conference on Interactive TV and Video

June 2009

240 pages

ISBN:9781605583402

DOI:10.1145/1542084

General Chairs:
Dirk De Grooff
CUO, IBBT / K.U.Leuven, Belgium
,
Pablo Cesar
CWI, The Netherlands
,
Program Chair:
David Geerts
CUO, IBBT / K.U.Leuven, Belgium

Copyright © 2009 ACM.

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]

Sponsors

ACM: Association for Computing Machinery

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 June 2009

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

EuroITV '09

Sponsor:

ACM

EuroITV '09: 7th European Interactive TV Conference

June 3 - 5, 2009

Leuven, Belgium

Acceptance Rates

Overall Acceptance Rate 52 of 149 submissions, 35%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

5
Total Citations
View Citations
168
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)0

Reflects downloads up to 08 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

Abreu JNogueira JBecker VCardoso B(2017)Survey of Catch-up TV and other time-shift servicesTelecommunications Systems10.1007/s11235-016-0157-364:1(57-74)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1007/s11235-016-0157-3
Al-Jobouri LFleury MGhanbari M(2014)Engineering wireless broadband access to IPTVJournal of Visual Communication and Image Representation10.1016/j.jvcir.2014.06.01325:7(1493-1506)Online publication date: 1-Oct-2014
https://dl.acm.org/doi/10.1016/j.jvcir.2014.06.013
Abrahamsson HBjorkman M(2013)Caching for IPTV distribution with time-shiftProceedings of the 2013 International Conference on Computing, Networking and Communications (ICNC)10.1109/ICCNC.2013.6504212(916-921)Online publication date: 28-Jan-2013
https://dl.acm.org/doi/10.1109/ICCNC.2013.6504212
Abrahamsson HNordmark MByers JKurose JMahajan RSnoeren A(2012)Program popularity and viewer behaviour in a large TV-on-demand systemProceedings of the 2012 Internet Measurement Conference10.1145/2398776.2398798(199-210)Online publication date: 14-Nov-2012
https://dl.acm.org/doi/10.1145/2398776.2398798
Verhoeyen MVriendt JVleeschauwer D(2012)Optimizing for Video Storage Networking With Recommender SystemsBell Labs Technical Journal10.1002/bltj.2053616:4(97-113)Online publication date: 1-Mar-2012
https://dl.acm.org/doi/10.1002/bltj.20536

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten