Skip to main content
Log in

Infinitesimal perturbation analysis for queueing networks with general service time distributions

  • Published:
Queueing Systems Aims and scope Submit manuscript

Abstract

We study infinitesimal perturbation analysis (IPA) for queueing networks with general service time distributions. By “general” we mean that the distributions may have discrete components. We show that in the presence of service time distributions with discrete components commuting condition (CC) is no longer sufficient for unbiasedness of IPA. To overcome this difficulty, we introduce the notion of separability of real‐valued random variables, and show that separability of service times together with (CC) establishes unbiasedness of IPA for queueing systems with general service time distributions. It turns out that the piecewise analyticity of service times is a sufficient condition for separability.

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. X.-R. Cao, W. Gong and Y. Wardi, Ill conditioned performance functions of queueing systems, IEEE Trans. Automat. Control. 40 (1995) 1074–1079.

    Google Scholar 

  2. H. Cartan, Differentialrechnung (Bibliographisches Institut, Mannheim, 1974).

    Google Scholar 

  3. P. Glasserman, Gradient Estimation via Perturbation Analysis (Kluwer Academic Publishers, Boston, 1991).

    Google Scholar 

  4. P. Glasserman, Structural conditions for perturbation analysis of queueing systems, J. ACM 38 (1991) 1005–1025.

    Google Scholar 

  5. P. Glasserman, Regenerative derivatives of regenerative sequences, Adv. in Appl. Probab. 25 (1993) 116–139.

    Google Scholar 

  6. P. Glasserman, J.-Q. Hu and S. Strickland, Strongly consistent steady-state derivative estimates, Probab. Engrg. Inform. Sci. 5 (1991) 391–413.

    Google Scholar 

  7. B. Heidergott, Infinitesimal perturbation analysis for queueing networks with general service time distributions, Technical report 97–33, Delft University of Technology (1997).

  8. Y.-C. Ho and X.-R. Cao, Perturbation Analysis of Discrete Event Systems (Kluwer Academic Publishers, Boston, 1991).

    Google Scholar 

  9. J.-Q. Hu, Convexity of sample path performance and strong consistency of infinitesimal perturbation analysis, IEEE Trans. Automat. Control. 37 (1992) 258–267.

    Google Scholar 

  10. J.-Q. Hu and S. Strickland, Strong consistency of sample path derivative estimates, Appl. Math. Lett. 3 (1990) 55–58.

    Google Scholar 

  11. A. Shapiro and Y. Wardi, Nondifferentiability of the steady-state function in discrete event dynamic systems, IEEE Trans. Automat. Control. 39 (1994) 1707–1711.

    Google Scholar 

  12. G. Shedler, Regenerative Stochastic Simulation (Academic Press, New York, 1993).

    Google Scholar 

  13. J. Wardi, M. McKinnon and R. Schuckle, On perturbation analysis of queueing networks with finitely supported service time distributions, IEEE Trans. Automat. Control. 36 (1991) 863–867.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Heidergott, B. Infinitesimal perturbation analysis for queueing networks with general service time distributions. Queueing Systems 31, 43–58 (1999). https://doi.org/10.1023/A:1019193711052

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1019193711052

Navigation