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A Stochastic Directional Convexity Result and Its Application in Comparison of Queues

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Abstract

Second order properties of queues are important in design and analysis of service systems. In this paper we show that the blocking probability of M/M/C/N queue is increasing directionally convex in (λ,−μ), where λ is arrival rate and μ is service rate. To illustrate the usefulness of this result we consider a heterogeneous queueing system with non-stationary arrival and service processes. The arrival and service rates alternate between two levels (λ11) and (λ22), spending an exponentially distributed amount of time with rate cα i in level i, i=1,2. When the system is in state i, the arrival rate is λ i and the service rate is μ i . Applying the increasing directional convexity result we show that the blocking probability is decreasing in c, extending a result of Fond and Ross [7] for the case C=N=1.

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References

  1. N. Bä uerle and T. Rolski, A monotonicity result for the workload in Markov-modulated queues, J. Appl. Probab. 35 (1998)741–747.

    Google Scholar 

  2. C.S. Chang, X. Chao and M. Pinedo, Integration of discrete-time correlated Markov processes in a TDM system: Structural results, Probab. Engrg. Inform. Sci. 4 (1990)29–56.

    Google Scholar 

  3. C.S. Chang, X. Chao and M. Pinedo, Monotonicity results for queues with doubly stochastic Poisson arrivals: Ross's conjecture, Adv. in Appl. Probab. 23 (1991)210–228.

    Google Scholar 

  4. X. Chao and L. Dai, A monotonicity result for single server loss systems, J. Appl. Probab. 32 (1995) 1112–1117.

    Google Scholar 

  5. L. Dai and X. Chao, Comparing single server loss systems, IEEE Trans. Automat. Control 41 (1996) 1078–1083.

    Google Scholar 

  6. Q. Du, A monotonicity result for a single server queue subject to a Markov-modulated Poisson process, J. Appl. Probab. 32 (1995)1103–1111.

    Google Scholar 

  7. S. Fond and S.M. Ross, A heterogeneous arrival and service queueing loss model, Naval Res. Logistics Quart. 25 (1978)483–488.

    Google Scholar 

  8. D.P. Heyman, On Ross's conjecture about queues with non-stationary Poisson arrivals, J. Appl. Probab. 19 (1982)245–249.

    Google Scholar 

  9. J. Keilson, Markov Chain Models-Rarity and Exponentialties (Springer, New York,1979).

    Google Scholar 

  10. A. Mü ller and D. Stoyan, Comparison Methods for Stochastic Models and Risks (Wiley, West Sussex, UK,2002).

    Google Scholar 

  11. S.-C. Niu, A single server queueing loss model with heterogeneous arrival and service, Oper. Res. 28 (1980)584–593.

    Google Scholar 

  12. T. Rolski, Queues with non-stationary input stream: Ross's conjecture, Adv. in Appl. Probab. 13 (1981)603–618.

    Google Scholar 

  13. T. Rolski, Upper bounds for single server queues with doubly stochastic Poisson arrivals, Math. Oper. Res. 11 (1986)442–450.

    Google Scholar 

  14. T. Rolski, Queues with non-stationary arrivals, Queueing Systems 5 (1989)113–130.

    Google Scholar 

  15. S. Ross, Average delay in queues with non-stationary Poisson arrivals, J. Appl. Probab. 15 (1978) 602–609.

    Google Scholar 

  16. M. Shaked and J.G. Shanthikumar, Stochastic Orders and Their Applications (Academic Press, San Diego, CA,1994).

    Google Scholar 

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Chao, X., Luh, H.P. A Stochastic Directional Convexity Result and Its Application in Comparison of Queues. Queueing Systems 48, 399–419 (2004). https://doi.org/10.1023/B:QUES.0000046583.57857.f1

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  • DOI: https://doi.org/10.1023/B:QUES.0000046583.57857.f1

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