Skip to main content
Log in

Cell loss analysis of broadband switching systems carrying variable bit rate video traffic

  • Published:
Telecommunication Systems Aims and scope Submit manuscript

Abstract

Many different traffic models have been proposed for the data generated by variable bit rate (VBR) video coders. It has been observed in simulation studies that use of different coders results in a wide variation in predicted cell loss statistics. In this paper, several models are studied, and their predictions of network performance compared to those obtained using real data. A quasi-stationary analysis technique is used to obtain analytic approximations for some of these cell loss statistics.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. J. Beran, R. Sherman, M.S. Taqqu and W. Willinger, Variable bit rate video traffic and long-range dependence, IEEE Trans. Commun., to appear.

  2. J.A. Bucklew,Large Deviation Techniques in Decision, Simulation and Estimation (Wiley, 1990).

  3. R. Coelho and S. Tohme, Video coding mechanism to predict video traffic in ATM networks,Proc. IEEE GLOBECOM, Houston, TX (1993) pp. 447–451.

  4. A. Erramilli and W. Willinger, Fractal properties in packet traffic measurements,Proc. St. Petersburg Regional ITC Seminar, St. Petersburg, Russia (1993) pp. 144–158.

  5. M.R. Frater, J.F. Arnold and P. Tan, A new statistical model for traffic generated by VBR CODECs for television on the broadband ISDN, IEEE Trans. Circuits and Syst. for Video Tech. 4(1994) 521–526.

    Article  Google Scholar 

  6. M.W. Garrett and M. Vetterli, Congestion control strategies for packet video,4th Int. Workshop on Packet Video, Kyoto, Japan (1991).

  7. D. Heyman, A. Tabatabai and T.V. Lakshman, Statistical analysis and simulation study of video teleconference traffic in ATM networks, IEEE Trans. Circuits and Syst. for Video Tech. 2(1992)49–59.

    Article  Google Scholar 

  8. P.A. Jacobs and P.A.W. Lewis, Time series generated by mixtures, J. Time Ser. Anal. 4(1983)19–36.

    Google Scholar 

  9. B. Maglaris, D. Anastassiou, P. Sen, G. Karlsson and J.D. Roberts, Performance models of statistical multiplexing in packet video communications, IEEE Trans. Commun. 36(1988)834–843.

    Article  Google Scholar 

  10. H. Nomura, T. Fujii and N. Ohta, Basic characteristics of variable bit rate video coding in ATM environment, IEEE J. Select. Areas Commun. 7(1989)752–760.

    Article  Google Scholar 

  11. M. Pickering and J.F. Arnold, A perceptually efficient VBR rate control algorithm, IEEE Trans. Image Proc. 3(1994)527–532.

    Article  Google Scholar 

  12. V. Ramaswami, Traffic performance modeling for packet communication, whence, where and whither,Proc. 3rd Australian Teletraffic Research Seminar, Melbourne (1988).

  13. J.W. Roberts (ed.),COST224, Final Report: Performance Evaluation and Design of Multiservice Networks (Office for Official Publications of the European Communities, Luxembourg, 1992).

    Google Scholar 

  14. W. Vertuest and L. Pinnoo, A variable bit rate video code for asynchronous transfer mode networks, IEEE J. Select. Areas Commun. 7(1989)761–770.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Frater, M.R., Rose, O. Cell loss analysis of broadband switching systems carrying variable bit rate video traffic. Telecommunication Systems 4, 319–338 (1995). https://doi.org/10.1007/BF02110092

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02110092

Keywords

Navigation