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Measurement and Statistical Analysis of Asymmetric Multipoint Videoconference Traffic in IP Networks

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Abstract

The paper contributes results on the modeling of videoconferencing traffic over IP networks. The study is based on extensive data, gathered by tracing the actual packet exchange during a comprehensive set of realistic teleconferencing sessions over an asymmetric platform, in which commercial H.261-compliant terminal clients were communicating through a Multipoint Control Unit (MCU) at ‘continuous presence’ mode. Analysis of the data suggests that the video traffic from the client terminals can always be represented at the frame level as a stationary stochastic process with an autocorrelation function of exponentially fast decay and a marginal frame size distribution of approximately Gamma form. The video traffic from the MCU to the clients is again stationary and with exponentially decaying correlations, while the corresponding marginal frame-size PDF has the form of an appropriately weighted sum of Gamma components, the number of terms in the sum always being equal to the number of conferring terminals. The paper discusses methods for correctly matching the parameters of the modeling components to the data and for combining these components into complete traffic models that have been proposed in the literature.

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References

  1. J. Beran, R. Sherman, M.S. Taqqu and W. Willinger, Long-range dependence in variable-bit-rate video traffic, IEEE Transactions on Commununications 43 (1995) 1566–1579.

    Google Scholar 

  2. H.S. Chin, J.W. Goodge, R. Griffiths and D.J. Parish, Statistics of video signals for viewphone-type pictures, IEEE Journal on Selected Areas in Communications 7(5) (1989) 826–832.

    Google Scholar 

  3. D.M. Cohen and D.P. Heyman, Performance modeling of video teleconferencing in ATM networks, IEEE Transactions on Circuits Systems Video Technology 3(6) (1993) 408–422.

    Google Scholar 

  4. D.R. Cox and H.D. Miller, The Theory of Stochastic Processes (Chapman & Hall, London, 1965).

    Google Scholar 

  5. I. Dalgic and F.A. Tobagi, Performance evaluation of ATM networks carrying constant and variable bit-rate video traffic, IEEE Journal on Selected Areas in Communications 15(6) (1997) 1115–1131.

    Google Scholar 

  6. A. Elwalid, D. Heyman, T.V. Lakshman, D. Mitra and A. Weiss, Fundamental bounds and approximations for ATM multiplexers with applications to video teleconferencing, IEEE Journal on Selected Areas in Communications 13(6) (1995) 1004–1016.

    Google Scholar 

  7. A. Erramilli, O. Narayan and W. Willinger, Experimental queueing analysis with long-range dependent packet traffic, IEEE/ACM Transactions on Networking 4(2) (1996) 209–223.

    Google Scholar 

  8. W. Feller, An Introduction to Probability Theory and Its Applications, Vol. 1, 3rd ed. (Wiley, New York, 1968).

    Google Scholar 

  9. M.R. Frater, J.F. Arnold and P. Tan, A new statistical model for traffic generated by VBR coders for television on the broadband ISDN, IEEE Transactions on Circuits Systems Video Technology 4(6) (1994) 521–526.

    Google Scholar 

  10. R. Grunenfelder, J.P. Cosmas, S. Manthorpe and A. Odinma-Okafor, Characterization of video codecs as autoregressive moving average processes and related queueing system performance, IEEE Journal on Selected Areas in Communications 9(3) (1991) 284–293.

    Google Scholar 

  11. B.G. Haskell, Buffer and channel sharing by several interframe picturephone coders, Bell Systems Technical Journal 51(1) (1972) 261–289.

    Google Scholar 

  12. D.P. Heyman and T.V. Lakshman, What are the implications of long-range dependence for VBR-video traffic engineering?, IEEE/ACM Transactions on Networking 4(3) (1996) 301–317.

    Google Scholar 

  13. D.P. Heyman, A. Tabatabai and T.V. Lakshman, Statistical analysis and simulation study of video teleconference traffic in ATM networks, IEEE Transactions on Circuits Systems Video Technology 2(1) (1992) 49–59.

    Google Scholar 

  14. D. Heyman, A. Tabatabai, T.V. Lakshman and H. Heeke, Modeling teleconference traffic from VBR coders, in: Proc. of ICC'94, 1994, pp. 1744–1748.

  15. P.A. Jacobs and P.A.W. Lewis, Time series generated by mixtures, Journal of Time Series Analysis 4(1) (1983) 19–36.

    Google Scholar 

  16. R. Kishimoto, Y. Ogata and F. Inumaru, Generation interval distribution characteristics of packetized variable rate video coding data streams in an ATM network, IEEE Journal on Selected Areas in Communications 7(5) (1989) 833–841.

    Google Scholar 

  17. S.-M. Lei, T.-C. Chen and M.-T. Sun, Video bridging based on H.261 standard, IEEE Transactions on Circuits Systems Video Technology 4(4) (1994) 425–437.

    Google Scholar 

  18. D.M. Lucantoni, M.F. Neuts and A.R. Reibman, Methods for performance evaluation of VBR video traffic models, IEEE/ACM Transactions on Networking 2(2) (1994) 176–180.

    Google Scholar 

  19. B. Maglaris, D. Anastassiou, P. Sen, G. Karlsson and J.D. Robbins, Performance models of statistical multiplexing in packet video communications, IEEE Transactions on Commununications 36(7) (1988) 834–843.

    Google Scholar 

  20. Multipoint control units for audiovisual systems using digital channels up to 2 Mbit/s, Recommendation H.231, Report R93, CCITT Study Group XV (1992).

  21. M. Nomura, T. Fujii and N. Ohta, Basic characteristics of variable rate video coding in ATM environment, IEEE Journal on Selected Areas in Communications 7(5) (1989) 752–760.

    Google Scholar 

  22. G. Ramamurthy and B. Sengupta, Modeling and analysis of a variable bit rate video multiplexer, in: Proc. of the 7th Internat. Teletraffic Congress Seminar, Morristown, NJ, 1990.

  23. R.M. Rodriguez-Dagnino, M.R.K. Khansari and A. Leon-Garcia, Prediction of bit rate sequences of encoded video signals, IEEE Journal on Selected Areas in Communications 9(3) (1991) 305–314.

    Google Scholar 

  24. P. Sen, B. Maglaris, N.-E. Rikli and D. Anastassiou, Models for packet switching of variable-bit-rate video sources, IEEE Journal on Selected Areas in Communications 7(5) (1989) 865–869.

    Google Scholar 

  25. C. Shim, I. Ryoo, J. Lee and S. Lee, Modeling and call admission control algorithm of variable bit rate video in ATM Networks, IEEE Journal on Selected Areas in Communications 12(2) (1994) 332–344.

    Google Scholar 

  26. P. Skelly, M. Schwartz and S. Dixit, A histogram-based model for video traffic behavior in an ATM multiplexer, IEEE/ACMTransactions on Networking 1(4) (1993) 446–459.

    Google Scholar 

  27. W. Verbiest, L. Pinnoo and B. Voeten, The impact of the ATM concept on video coding, IEEE Journal on Selected Areas in Communications 6(9) (1988) 1623–1632.

    Google Scholar 

  28. Video codec for audiovisual services at p x 64 kbit/s, Recommendation H.261, Report R95, CCITT Study Group XV (1992).

  29. M.H. Willebeek-LeMair and Z.-Y. Shae, Videoconferencing over packet-based networks, IEEE Journal on Selected Areas in Communications 15(6) (1997) 1101–1114.

    Google Scholar 

  30. S. Xu and Z. Huang, A Gamma autoregressive video model on ATM networks, IEEE Transactions on Circuits Systems Video Technology 8(2) (1998) 138–142.

    Google Scholar 

  31. S. Xu, Z. Huang and Y. Yao, An analytically tractable model for video conference traffic, IEEE Transactions Circuits Systems Video Technology 10(1) (2000) 63–67.

    Google Scholar 

  32. Y. Yasude, H. Yasuda, N. Ohta and F. Kishino, Packet video transmission through ATM networks, in: Proc. of IEEE GLOBECOM 1989, pp. 876–880.

  33. F. Yegenoglu, B. Jabbari and Y.-Q. Zhang, Motion-classified autoregressive modeling of variable bit rate video, IEEE Transactions on Circuits Systems Video Technology 3(1) (1993) 42–53.

    Google Scholar 

  34. M. Zaddach and K. Heidtmann, Measurement and traffic characterization of H.26x-coded video streams, in: 11th GI/ITG Conf. on Measuring, Modeling and Evaluation of Computer and Communication Systems, ed. B.R. Haverkort (VDE-Verlag, Berlin, 2001).

    Google Scholar 

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Authors and Affiliations

  1. National Center for Scientific Research “Demokritos”, P.O. Box 60228, GR-15310 Ag, Paraskevi Attikis, Greece

    C. Skianis, K. Kontovasilis, A. Drigas & M. Moatsos

Authors
  1. C. Skianis
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  2. K. Kontovasilis
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  3. A. Drigas
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  4. M. Moatsos
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Correspondence to K. Kontovasilis.

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Skianis, C., Kontovasilis, K., Drigas, A. et al. Measurement and Statistical Analysis of Asymmetric Multipoint Videoconference Traffic in IP Networks. Telecommunication Systems 23, 95–122 (2003). https://doi.org/10.1023/A:1023620903222

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