Skip to main content

Cycle Times in a Serial Fork-Join Network

  • Conference paper
Computational Science and Its Applications – ICCSA 2007 (ICCSA 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4705))

Included in the following conference series:

Abstract

This paper presents formulas for approximating the distribution of the cycle time of a job in a two-stage fork-join network in equilibrium. The key step is characterizing the departure process from the first node. Statistical tests justify that the approximate distribution is a good fit to the actual one. We discuss related approximations for m-stage networks, and present a formula for approximating the mean cycle time in a m-stage fork-join network.

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 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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. Baccelli, F., Makowski, A.M., Shwartz, A.: The fork-join queue and related systems with synchronization constraints: stochastic ordering and computable bounds. Adv. Appl. Probab. 21, 629–660 (1989)

    Article  MATH  MathSciNet  Google Scholar 

  2. Balsamo, S., Donatietllo, L., Van Dijk, N.M.: Bound performance models of heterogeneous parallel processing systems. IEEE Trans.Parallel. 9, 1041–1056 (1998)

    Article  Google Scholar 

  3. Bai, L., Fralix, B., Liu, L., Shang, W.: Inter-departure times in base-stock inventory-queues. QUESTA 47, 345–361 (2004)

    MATH  MathSciNet  Google Scholar 

  4. Burke, P.J.: The outpurt of a Queueing Syste. Opns. Res. 4, 699–704 (1956)

    MathSciNet  Google Scholar 

  5. Daley, D.J.: Queueing output processes. Adv. Appl. Prob. 8, 395–415 (1976)

    Article  MATH  MathSciNet  Google Scholar 

  6. Disney, R.L., König, D.: Queueing networks: A survey of therir random processes. SIAM Rev. 27, 335–403 (1985)

    Article  MATH  MathSciNet  Google Scholar 

  7. Flatto, L., Hahn, S.: Two parallel queues created by arrivals with two demands I. SIAM J. Appl. Math. 44, 1041–1053 (1984)

    Article  MATH  MathSciNet  Google Scholar 

  8. Flatto, L.: Two parallel queues created by arrivals with two demands II. SIAM J. Appl. Math. 45, 861–878 (1985)

    Article  MATH  MathSciNet  Google Scholar 

  9. Knessl, C.: On the diffusion approximation to a fork and join queueing model. SIAM J. Appl. Math. 51, 160–171 (1991)

    Article  MATH  MathSciNet  Google Scholar 

  10. Ko, S., Serfozo, R.: Response times in M/M/s fork-join networks. Adv. Appl. Prob. 36, 854–871 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  11. Ko, S., Serfozo, R.: Sojourn times in G/M/1 fork-join networks. Technical Report Georgia Tech (2006)

    Google Scholar 

  12. Law, A.M., Kelton, W.D.: Simulation Modeling and Analysis. McGraw-Hill, New York (1991)

    Google Scholar 

  13. Nelson, R., Tantawi, A.N.: Approximation analysis of fork/join synchronization in parallel queues. IEEE Trans. Comput. 37, 739–743 (1988)

    Article  Google Scholar 

  14. Nguyen, V.: Processing networks with parallel and sequential tasks: heavy traffic analysis and Brownian limits. Ann. Appl. Prob. 3, 28–55 (1993)

    MATH  Google Scholar 

  15. Reynolds, J.F.: The covairance structure of queues and related processes- A study of recent work. Adv. Appl. Prob. 7, 383–415 (1975)

    Article  MATH  MathSciNet  Google Scholar 

  16. Serfozo, R.F.: Introduction to Stochastic Networks. Spinger-Verlag, New York (1999)

    MATH  Google Scholar 

  17. Whitt, W.: Approximating a point process by a renewal process I: two basic methods. Opns. Res. 30, 125–147 (1982)

    Article  MATH  MathSciNet  Google Scholar 

  18. Whitt, W.: Approximations for departure processes and queues in series. Naval Res. Logistics Quarterly 31, 499–521 (1984)

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Osvaldo Gervasi Marina L. Gavrilova

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ko, SS. (2007). Cycle Times in a Serial Fork-Join Network. In: Gervasi, O., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2007. ICCSA 2007. Lecture Notes in Computer Science, vol 4705. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74472-6_62

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-74472-6_62

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74468-9

  • Online ISBN: 978-3-540-74472-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics