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On the departure process of a leaky bucket system with long-range dependent input traffic

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Abstract

Due to the strong experimental evidence that the traffic to be offered to future broadband networks will display long-range dependence, it is important to study the possible implications that such traffic may have for the design and performance of these networks. In particular, an important question is whether the offered traffic preserves its long-range dependent nature after passing through a policing mechanism at the interface of the network. One of the proposed solutions for flow control in the context of the emerging ATM standard is the so-called leaky bucket scheme. In this paper we consider a leaky bucket system with long-range dependent input traffic. We adopt the following popular model for long-range dependent traffic: Time is discrete. At each unit time a random number of sessions is initiated, having the distribution of a Poisson random variable with mean λ. Each of these sessions has a random duration τ, where the integer random variable τ has finite mean, infinite variance, and a regularly varying tail, i.e., P(τ >К) ~ К-Lα L(К), where 1 < α < 2 L(·) is a slowly varying function. Once a session is initiated, it generates one cell at each unit of time until its termination. We examine the departure process of the leaky bucket policing mechanism driven by such an arrival process, and show that it too is long-range dependent for any token buffer size and any - finite or infinite - cell buffer size. Moreover, upper and lower bounds for the covariance sequence of the output process are established. The above results demonstrate that long-range dependence cannot be removed by the kinds of flow control schemes that are currently being envisioned for broadband networks.

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References

  1. V. Anantharam, On the sojourn time of sessions at an ATM buffer with long-range dependent input traffic, in: Proc. of the 34rd IEEE Conf. on Decision and Control, Vol. 1, New Orleans, LA (December 13–15, 1995) pp. 859-864.

    Google Scholar 

  2. V. Anantharam and T. Konstantopoulos, Burst reduction properties of the leaky bucket flow control scheme in ATM networks, IEEE Trans. Commun. 42(12) (1994) 3085-3089.

    Article  Google Scholar 

  3. J. Beran, R. Sherman, M.S. Taqqu and W. Willinger, Long-range dependence in variable-bit-rate video traffic, IEEE Trans. Commun. 43(2/3/4) (1995) 1566-1579.

    Article  Google Scholar 

  4. N.H. Bingham, C.M. Goldie and J.L. Teugels, Regular Variation (Cambridge University Press, New York, 1987).

    Google Scholar 

  5. D.R. Cox, Long-range dependence: A review, in: Statistics: An Appraisal, eds. H.A. David and H.T. David (Iowa State University Press, 1984) pp. 55-74.

  6. W. Feller, An Introduction to Probability Theory and its Applications, Vol. 2 (Wiley, New York, 1971).

    Google Scholar 

  7. W.E. Leland, M.S. Taqqu, W. Willinger and D.V. Wilson, On the self-similar nature of Ethernet traffic (extended version), IEEE/ACM Trans. Networking 2(1) (1994) 1-15.

    Article  Google Scholar 

  8. N. Likhanov, B. Tsybakov and N.D. Georganas, Analysis of an ATM buffer with self-similar (“fractal”) input traffic, in: Proc. of the 14th Annual IEEE Infocom (1995) pp. 985-992.

  9. R.M. Loynes, The stability of queues with non-independent interarrival and service times, Proceedings of the Cambridge Philosophical Society 58 (1962) 497-520.

    Article  Google Scholar 

  10. M. Parulekar and A.M. Makowski, Tail probabilities for M/G/∞ input processes (I): Preliminary asymptotics, Preprint (1997).

  11. V. Paxson and S. Floyd, Wide area traffic: The failure of Poisson modelling, IEEE/ACM Transactions on Networking 3(3) (1995) 226-244.

    Article  Google Scholar 

  12. J. Walrand, An Introduction to Queueing Networks (Prentice-Hall, Englewood Cliffs, NJ, 1988).

    Google Scholar 

  13. D. Williams, Probability with Martingales (Cambridge University Press, New York, 1991).

    Google Scholar 

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Correspondence to Venkat Anantharam.

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Vamvakos, S., Anantharam, V. On the departure process of a leaky bucket system with long-range dependent input traffic. Queueing Systems 28, 191–214 (1998). https://doi.org/10.1023/A:1019155307901

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  • DOI: https://doi.org/10.1023/A:1019155307901

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