Skip to main content
Log in

A Push–Pull Network with Infinite Supply of Work

  • Published:
Queueing Systems Aims and scope Submit manuscript

Abstract

We consider a two-node multiclass queueing network with two types of jobs moving through two servers in opposite directions, and there is infinite supply of work of both types. We assume exponential processing times and preemptive resume service. We identify a family of policies which keep both servers busy at all times and keep the queues between the servers positive recurrent. We analyze two specific policies in detail, obtaining steady state distributions. We perform extensive calculations of expected queue lengths under these policies. We compare this network with the Kumar–Seidman–Rybko–Stolyar network, in which there are two random streams of arriving jobs rather than infinite supply of work.

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.

Similar content being viewed by others

References

  1. Adan, I.J.B.F., Weiss, G.: A two node Jackson network with infinite supply of work. Probab. Eng. Inf. Sci. 19, 191–212 (2005)

    Article  Google Scholar 

  2. Adan, I.J.B.F., Weiss, G.: Analysis of a simple Markovian re-entrant line with infinite supply of work under the LBFS policy. Queueing Syst. Theory Appl. 54, 169–183 (2006)

    Article  Google Scholar 

  3. Bremaud, P.: Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues. Springer, New York (1999)

    Google Scholar 

  4. Chen, H., Yao, D.D.: Fundamentals of Queueing Networks, Performance, Asymptotics and Optimization. Springer, Berlin (2003)

    Google Scholar 

  5. Chen, M., Pandit, C., Meyn, S.: In search of sensitivity in network optimization. Queueing Syst. Theory Appl. 44, 313–363 (2003)

    Article  Google Scholar 

  6. Dai, J.G.: On positive Harris recurrence of multi-class queueing networks: a unified approach via fluid limit models. Ann. Appl. Prob. 5, 49–77 (1995)

    Article  Google Scholar 

  7. Dai, J.G., Lin, W.: Maximum pressure policies in stochastic processing networks. Oper. Res. 53, 197–218 (2005)

    Article  Google Scholar 

  8. Dai, J.G., Lin, W.: Asymptotic optimality of maximum pressure policies in stochastic processing networks. Ann. Appl. Probab. 18, 2239–2299 (2008)

    Article  Google Scholar 

  9. Dai, J.G., Vande Vate, J.H.: Global stability of two-station queueing networks. In: Glasserman, P., Sigman, K., Yao, D. (eds.) Proceedings of Workshop on Stochastic Networks: Stability and Rare Events, pp. 1–26. Springer, New York (1996)

    Google Scholar 

  10. Durrett, R.: Essentials of Stochastic Processes. Springer, New York (1999)

    Google Scholar 

  11. Glynn, P.: Stochastic Systems. Stanford University Graduate Lecture Notes. Stanford University Press, Stanford (2000)

    Google Scholar 

  12. Foss, S., Konstantopoulos, T.: An overview of some stochastic stability methods. J. Oper. Res. Soc. Jpn. 47(4), 275–303 (2004)

    Google Scholar 

  13. Foster, F.G.: On the stochastic matrices associated with certain queueing processes. Ann. Math. Stat. 24, 355–360 (1953)

    Article  Google Scholar 

  14. Harrison, J.M.: Brownian models of queueing networks with heterogeneous customer populations. In: Fleming, W., Lions, P.L. (eds.) Proceedings of the IMA Workshop on Stochastic Differential Systems. Springer, Berlin (1988)

    Google Scholar 

  15. Harrison, J.M.: Brownian models of open processing networks: Canonical representation of workload. Ann. Appl. Probab. 10, 75–103 (2000)

    Article  Google Scholar 

  16. Harrison, J.M.: A broader view of Brownian networks. Ann. Appl. Probab. 13, 1119–1150 (2001)

    Article  Google Scholar 

  17. Harrison, J.M.: Stochastic networks and activity analysis. In: Suhov, Y. (ed.) In memory of Fridrik Karpelevich. Analytic Methods in Applied Probability. Am. Math. Soc., Providence (2002)

    Google Scholar 

  18. Harrison, J.M., Williams, R.J.: Brownian models of multiclass queueing networks. In: Proceedings of the 29th IEEE Conference on Decision and Control, vol. 2, pp. 573–574 (1990)

  19. Haviv, M., Zlotnikov, R.: Computational schemes for two exponential servers where the first has a finite buffer (2007, preprint)

  20. Henderson, S.G., Meyn, S.P., Tadic, V.B.: Performance evaluation and policy selection in multiclass networks. Discrete Event Dyn. Syst. 13(1–2), 149–189 (2003)

    Article  Google Scholar 

  21. Kopzon, A., Weiss, G.: A push–pull queueing system. Oper. Res. Lett. 30, 351–359 (2002)

    Article  Google Scholar 

  22. Kumar, P.R., Seidman, T.I.: Dynamic instabilities and stabilization methods in distributed real time scheduling of manufacturing systems. IEEE Trans. Automat. Contr. 35, 289–298 (1990)

    Article  Google Scholar 

  23. Levy, Y., Yechiali, U.: Utilization of idle time in an M/G/1 queueing system. Manag. Sci. 22, 202–211 (1975)

    Article  Google Scholar 

  24. Meyn, S.P., Tweedie, R.L.: Markov Chains and Stochastic Stability. Springer, Berlin (1993)

    Google Scholar 

  25. Meyn, S.P.: Control Techniques for Complex Networks. Cambridge University Press, Cambridge (2008)

    Google Scholar 

  26. Nazarathy, Y., Weiss, G.: Near optimal control of queueing networks over a finite time horizon. Ann. Oper. Res. 170, 233–249 (2009)

    Article  Google Scholar 

  27. Nazarathy, Y., Weiss, G.: Positive Harris recurrence and diffusion scale analysis of a Push–Pull queueing network. Perform. Eval. (2009, to appear). Preliminary version presented at Valuetools 2008

  28. Rybko, A.N., Stolyar, A.L.: Ergodicity of stochastic processes describing the operation of open queueing networks. Probl. Inf. Transm. 28, 199–220 (1992)

    Google Scholar 

  29. Tassiulas, L.: Adaptive back-pressure congestion control based on local information. IEEE Trans. Automat. Contr. 40, 236–250 (1995)

    Article  Google Scholar 

  30. Tassiulas, L., Bhattacharya, P.B.: Allocation of interdependent resources for maximal throughput. Stoch. Models 16, 27–48 (2000)

    Article  Google Scholar 

  31. Taylor, L.M., Williams, R.J.: Existence and uniqueness of semimartingale reflecting Brownian motions in an orthant. Probab. Theory Rel. Fields 96, 283–317 (1993)

    Article  Google Scholar 

  32. Weiss, G.: Jackson networks with unlimited supply of work. J. Appl. Probab. 42, 879–882 (2005)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Gideon Weiss.

Additional information

Research supported in part by Israel Science Foundation Grants 249/02 and 454/05 and by European Network of Excellence Euro-NGI.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kopzon, A., Nazarathy, Y. & Weiss, G. A Push–Pull Network with Infinite Supply of Work. Queueing Syst 62, 75–111 (2009). https://doi.org/10.1007/s11134-009-9121-1

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11134-009-9121-1

Keywords

Mathematics Subject Classification (2000)

Navigation