Skip to main content

Product-Form Queueing Networks with Batches

  • Conference paper
  • First Online:
Computer Performance Engineering (EPEW 2018)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 11178))

Included in the following conference series:

Abstract

A Markovian queue, with both batch arrivals and batch departures, is first shown to have a geometric queue length probability distribution at equilibrium under certain conditions. From this a product-form solution follows directly for networks of such queues at equilibrium, by application of the reversed compound agent theorem (RCAT). The method is illustrated using small batches of sizes 1 and 2, as well as geometric sizes.

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 EPUB and 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

Notes

  1. 1.

    This is because the special departures are active transitions, with the empty queue as their only possible destination-state, whereas RCAT requires all states to be possible destinations [8]. Similarly, the special arrivals are passive but enabled only in the empty queue, i.e. not in every state, as required by RCAT. One could consider the special departures as passive and the special arrivals as active, provided they could occur in, or lead to, every state, respectively. However, a special arrival transition from the empty state to itself would then be required – i.e. an active “invisible transition”. This would lead to an increased rate of special departures in the synchronising queue, changing the model’s specification. Worse still, the special arrival rates would have to be carefully chosen (geometrically) so as to ensure constant reversed rates. Similarly, an invisible, passive, special departure transition would also be needed on the empty state, allowing spontaneous special arrivals at the synchronising queue, which again would probably not be wanted.

  2. 2.

    We exclude feedback from a node to itself, so that \(j \ne i\) or, equivalently, we can define \(p_{ikjl}=0\) whenever \(i=j\).

References

  1. Marin, S.B.A., Harrison, P.G.: Analysis of stochastic petri nets with signals. Perform. Eval. 69, 551–572 (2012)

    Article  Google Scholar 

  2. Balsamo, S., Harrison, P.G., Marin, A.: Methodological construction of product-form stochastic petri nets for performance evaluation. J. Syst. Softw. 85, 1520–1539 (2012)

    Article  Google Scholar 

  3. Baskett, F., Chandy, K.M., Muntz, R.R., Palacios, F.G.: Open, closed and mixed networks of queues with different classes of customers. J. ACM 22(2), 248–260 (1975)

    Article  MathSciNet  Google Scholar 

  4. Chao, X., Miyazawa, M., Pinedo, M.: Queueing Networks: Customers, Signals and Product Form Solutions. Wiley, New York (1999)

    MATH  Google Scholar 

  5. Gelenbe, E.: G-networks with triggered customer movement. J. Appl. Prob. 30, 742–748 (1993)

    Article  MathSciNet  Google Scholar 

  6. Gross, D., Harris, C.M.: Fundamentals of Queueing Theory. Wiley, New York (1985)

    MATH  Google Scholar 

  7. Harrison, P.G., Hayden, R.A., Knottenbelt, W.J.: Product-forms in batch networks: approximation and asymptotics. Perform. Eval. 70(10), 822–840 (2013)

    Article  Google Scholar 

  8. Harrison, P.G.: Turning back time in Markovian process algebra. Theoret. Comput. Sci. 290(3), 1947–1986 (2003)

    Article  MathSciNet  Google Scholar 

  9. Harrison, P.G.: Compositional reversed Markov processes, with applications to G-networks. Perform. Eval. 57, 379–408 (2004)

    Article  Google Scholar 

  10. Harrison, P.G.: Turning back time - what impact on performance? Comput. J. 53(6), 860–868 (2010)

    Article  Google Scholar 

  11. Harrison, P.G., Patel, N.M.: Performance Modelling of Communication Networks and Computer Architectures. Addison-Wesley, Boston (1992)

    MATH  Google Scholar 

  12. Jackson, J.R.: Jobshop-like queueing systems. Manag. Sci. 10(1), 131–142 (1963)

    Article  Google Scholar 

  13. Kelly, F.P.: Reversibility and Stochastic Networks. Wiley, New York (1979)

    MATH  Google Scholar 

  14. Mitrani, I., Chakka, R.: Spectral expansion solution for a class of Markov models: application and comparison with the matrix-geometric method. Perform. Eval. 23, 241–260 (1995)

    Article  Google Scholar 

  15. Papathanasiou, A.E., Scott, M.L.: Energy efficiency through burstiness. In: 5th IEEE Workshop on Mobile Computing Systems and Applications (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to P. G. Harrison .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Harrison, P.G. (2018). Product-Form Queueing Networks with Batches. In: Bakhshi, R., Ballarini, P., Barbot, B., Castel-Taleb, H., Remke, A. (eds) Computer Performance Engineering. EPEW 2018. Lecture Notes in Computer Science(), vol 11178. Springer, Cham. https://doi.org/10.1007/978-3-030-02227-3_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-02227-3_17

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02226-6

  • Online ISBN: 978-3-030-02227-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics