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Analysis of Source Rate Adaption for ATM networks using a dynamic flow model

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Abstract

This paper focuses on using Source Rate Adaption (SRA) as a viable flow control scheme in Asynchronous Transfer Mode (ATM) networks. A modeling technique related to conducting performance evaluation studies using a dynamic flow model has been developed. SRA control strategies at node, domain or network levels have been proposed. Computer simulations verify the validity of the model and strategies.

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References

  1. CCITT Recommendation I.371, Traffic control and congestion control in B-ISDN, COM XVIII-R 118-E, July 1992.

  2. I. Cidon and I. S. Gopal, PARIS: an approach to integrated high-speed private networks,Int. J. Digital & Analog Cabled Systems, Vol. 1, No. 2, 1988.

  3. A. DeSimone, Generating burstiness in networks: a simulation study of correlation effects in networks of queues,Computer. Commun. Rev., Vol. 21, January 1990.

  4. S. Jin, D. R. Vaman and D. Sinha, A performance management framework to provide bounded packet delay and variance in packet-switched networksJ. Computer Networks and ISDN Systems, Vol. 22, October 1991.

  5. N. Yin and M. G. Hluchyi, A dynamic rate control mechanism for source coded traffic in a fast packet network,IEEE J. SAC, No. 7, September 1991.

  6. T. Toniatti and F. Trombetta, Performance simulation of end-to-end windowing in ATM networks,Proc. Infocom, 1992.

  7. J. S. Dedes, D. R. Vaman and C. V. Chakravarthy, Variable bit rate adaptive predictive coder,IEEE Trans. Signal Process, Vol. 40, No. 3, 1992.

  8. P. Pancha and M. E. Iarki, A look at the MPEG video coding standard for variable bit rate video transmission,Proc. INFOCOM'92.

  9. T. Kamilake and T. Suda, Evaluation of an admission control schemes for an ATM network considering fluctuations in cell loss rate,Proc. ICC'89.

  10. L. Kleinrock, Power and deterministic rules of thumb for probabilistic problems in computer communications,Proc. ICC, Vol. 1, June 1979.

  11. J. Filipiak,Modeling and Control of Dynamic Flows in Communication Networks, New York, Springer-Verlag, 1988.

    Google Scholar 

  12. F. L. Lewis,Optimal Control, John Wiley and Sons, 1986.

  13. D. Anick, D. Mitra and M. M. Sondhi, Stochastic theory of a data-handing system with multiple sources,Bell Systems Technical Journal, Vol. 61, No. 8, October 1982.

  14. Saimin Jin, Performance management for multimedia service provision in ATM networks, Ph.D. Dissertation, Stevens Institute of Technology, 1993.

  15. A. Gersht and K. J. Lee, A congestion control framework for ATM networks,IEEE J. SAC, Vol. 9, No. 7, 1991.

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Vaman, D.R., Gu, X., Jin, S. et al. Analysis of Source Rate Adaption for ATM networks using a dynamic flow model. J Netw Syst Manage 1, 353–371 (1993). https://doi.org/10.1007/BF01036828

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