Skip to main content

The Taylor Series Expansions for Performance Functions of Queues: Sensitivity Analysis

  • Conference paper
Analytical and Stochastic Modeling Techniques and Applications (ASMTA 2013)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7984))

Abstract

We discuss the application of an efficient numerical algorithm to sensitivity analysis of the GI/M/1 queue. Specifically, we use a numerical approach based on the Taylor series expansion to examine the robustness of the GI/M/1 queue to some specific perturbations in the arrival process: linear and non-linear perturbations. For each kind of perturbation we approximately compute the sensitivity of the main characteristics of the GI/M/1 queue corresponding to the case where the arrival processes are lightly different from that of the nominal queue. Numerical examples are presented to illustrate the accuracy of the proposed approach.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Abbas, K., Aïssani, D.: Strong Stability of the Embedded Markov Chain in an GI/M/1 Queue with Negative Customers. Applied Mathematical Modelling 34, 2806–2812 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  2. Abbas, K., Heidergott, B.: A Functional Approximation for Queues with Breakdowns (in preparation)

    Google Scholar 

  3. Abbas, K., Heidergott, B., Aïssani, D.: A Functional Approximation for the M/G/1/N Queue. Discrete Event Dynamic Systems 23, 93–104 (2013)

    Article  Google Scholar 

  4. Albin, S.L.: Analyzing M/M/1 Queues with Perturbations in the Arrival Process. Journal of the Operational Research Society 35, 303–309 (1984)

    MATH  Google Scholar 

  5. Benaouicha, M., Aïssani, D.: Strong Stability in a G/M/1 Queueing System. Theory of Probability and Mathematical Statistics 71, 22–32 (2004)

    MATH  Google Scholar 

  6. Campbell, S.L., Meyer Jr., C.D.: Generalized Inverses of Linear Transformations. Dover Publications, Mineola (1991)

    MATH  Google Scholar 

  7. De Turck, K., De Cuypere, E., Wittevrongel, S., Fiems, D.: Algoritmic Approach to Series Expansions around Transient Markov Chains with Applications to Paired Queuing Systems. In: 6th International Conference on Performance Evaluation Methodologies and Tools (VALUETOOLS 2012), pp. 38–44. IEEE Press, Piscataway (2012)

    Google Scholar 

  8. De Turck, K., Fiems, D., Wittevrongel, S., Bruneel, H.: A Taylor Series Expansions Approach to Queues with Train Arrivals. In: 5th International ICST Conference on Performance Evaluation Methodologies and Tools (VALUETOOLS 2011), pp. 447–455. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), Brussels (2011)

    Google Scholar 

  9. Fricker, C., Guillemin, F., Robert, P.: Perturbation Analysis of an M/M/1 Queue in a Diffusion Random Environment. Queueing Systems: Theory and Applications 61, 1–35 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  10. Gross, D., Harris, C.: Fundamentals of Queueing Theory. Wiley (1985)

    Google Scholar 

  11. Heidergott, B., Hordijk, A.: Taylor Series Expansions for Stationary Markov Chains. Advances in Applied Probability 35, 1046–1070 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  12. Heidergott, B., Hordijk, A., Leder, N.: Series Expansions for Continuous-Time Markov Processes. Operations Research 58, 756–767 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  13. Kotzurek, M., Stoyan, D.: A Quantitative Continuity Theorem for Mean Stationary Waiting Time in GI/G/l. Mathematische Operationsforschung und Statistik 7, 595–599 (1976)

    Article  MathSciNet  MATH  Google Scholar 

  14. Núñez-Queija, R., Altman, E., Avrachenkov, K.: Perturbation Analysis for Denumerable Markov Chains with Application to Queueing Models. Advances in Applied Probability 36, 839–853 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  15. Schweitzer, E.: Perturbation Theory and Finite Markov Chains. Journal of Applied Probability 5, 401–413 (1968)

    Article  MathSciNet  MATH  Google Scholar 

  16. Whitt, W.: Quantitative Continuity Results for the GI/G/l Queue. Bell Laboratories report (1981)

    Google Scholar 

  17. Zolotarev, V.M.: General Problems of the Stability of Mathematical Models. In: 41st International Statistical Institute, New Delhi (1977)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ouazine, S., Abbas, K., Heidergott, B. (2013). The Taylor Series Expansions for Performance Functions of Queues: Sensitivity Analysis. In: Dudin, A., De Turck, K. (eds) Analytical and Stochastic Modeling Techniques and Applications. ASMTA 2013. Lecture Notes in Computer Science, vol 7984. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39408-9_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-39408-9_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39407-2

  • Online ISBN: 978-3-642-39408-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics