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Accurate Computation of Traffic Workload Distributions

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Abstract

In traffic modeling, the computation of workload distributions plays a prominent role, since they influence the quality of service parameters. This paper deals with different ways to determine the workload distributions of a GI/GI/1 service system accurately. We discuss two different techniques, the polynomial factorization approach and the Wiener–Hopf factorization. These methods factorize the server system's characteristic polynomial to compute the workload. Starting with classical algorithms to obtain initial approximations, we enhance them using verification techniques to guarantee the correctness of the results.

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References

  1. G. Alefeld and J. Herzberger, Introduction to Interval Computations (Academic Press, New York, 1983).

    Google Scholar 

  2. D. Bini and G. Fiorentino, Numerical computation of polynomial roots: MPSolve–version 2.0, FRISCO Report (1998).

  3. M.L. Chaudhry, Alternative numerical solutions of stationary queueing-time distributions in discrete-time queues: GI/G/1, J. Opl. Res. Soc. 44(10) (1993) 1035–1051.

    Google Scholar 

  4. D. Fausten, W. Luther and G. Haßlinger, Verified computing of the stationary workload distribution of a GI/GI/1 server, in: Recent Advances in Circuits, Systems and Signal Processing, eds. N. Mastorakis and G. Antoniou (WSEAS Press, 2002) pp. 169–174.

  5. W.K. Grassmann and J.L. Jain, Numerical solutions of the waiting time distribution and idle time distribution of the arithmetic GI/GI/1 queue, Oper. Res. 37 (1989) 141–150.

    Google Scholar 

  6. R. Hammer, M. Hocks, U. Kulisch and D. Ratz, Numerical Toolbox for Verified Computing I (Springer, Berlin, 1993).

    Google Scholar 

  7. G. Haßlinger, A polynomial factorization approach to the discrete time GI/ G /1 /(N) queue size distribution, Performance Evaluation 23 (1995) 217–240.

    Google Scholar 

  8. G. Haßlinger, Waiting times, busy periods and output models of a server analyzed via Wiener-Hopf factorization, Performance Evaluation 40 (2000) 3–26.

    Google Scholar 

  9. G. Haßlinger, Quality-of-Service analysis for statistical multiplexing with Gaussian distributed and autoregressive input modeling, Telecommunication Systems 16 (2001) 315–334.

    Google Scholar 

  10. http://www.math.uniwuppertal.de/wrswt/xsc-sprachen.html.

  11. R. Klatte, U. Kulisch, A. Wiethoff, C. Lawo and M. Rauch, C-XSC (Springer, Berlin, 1993).

    Google Scholar 

  12. L. Kleinrock, Queueing Systems, Vols. 1, 2 (Wiley, New York, 1975/1976).

    Google Scholar 

  13. G. Latouche and V. Ramaswami, The PH/PH/1 queue at epochs of queue size change, Queueing Systems 25 (1997) 97–114.

    Google Scholar 

  14. D.V. Lindley, The theory of queues with a single server, Proc. Cambridge Philos. Soc. 48 (1952) 277–289.

    Google Scholar 

  15. M.F. Neuts, Matrix Geometric Solutions in Stochastic Models (Johns Hopkins Univ. Press, Baltimore, MD, 1981).

    Google Scholar 

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Fausten, D., Luther, W. & Haßlinger, G. Accurate Computation of Traffic Workload Distributions. Numerical Algorithms 37, 137–146 (2004). https://doi.org/10.1023/B:NUMA.0000049461.33333.5b

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  • DOI: https://doi.org/10.1023/B:NUMA.0000049461.33333.5b

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