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The Physics of the Mt/G/∞ Queue

Author

Listed:
  • Stephen G. Eick

    (AT&T Bell Laboratories, Murray Hill, New Jersey)

  • William A. Massey

    (AT&T Bell Laboratories, Murray Hill, New Jersey)

  • Ward Whitt

    (AT&T Bell Laboratories, Murray Hill, New Jersey)

Abstract

We establish some general structural results and derive some simple formulas describing the time-dependent performance of the M t / G /∞ queue (with a nonhomogeneous Poisson arrival process). We know that, for appropriate initial conditions, the number of busy servers at time t has a Poisson distribution for each t . Our results show how the time-dependent mean function m depends on the time-dependent arrival-rate function λ and the service-time distribution. For example, when λ is quadratic, the mean m ( t ) coincides with the pointwise stationary approximation λ( t ) E [ S ], where S is a service time, except for a time lag and a space shift. It is significant that the well known insensitivity property of the stationary M / G /∞ model does not hold for the nonstationary M t / G /∞ model; the time-dependent mean function m depends on the service-time distribution beyond its mean. The service-time stationary-excess distribution plays an important role. When λ is decreasing before time t , m ( t ) is increasing in the service-time variability, but when λ is increasing before time t , m ( t ) is decreasing in service-time variability. We suggest using these infinite-server results to approximately describe the time-dependent behavior of multiserver systems in which some arrivals are lost or delayed.

Suggested Citation

  • Stephen G. Eick & William A. Massey & Ward Whitt, 1993. "The Physics of the Mt/G/∞ Queue," Operations Research, INFORMS, vol. 41(4), pages 731-742, August.
  • Handle: RePEc:inm:oropre:v:41:y:1993:i:4:p:731-742
    DOI: 10.1287/opre.41.4.731
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    Citations

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    Cited by:

    1. Jerome Niyirora & Jamol Pender, 2016. "Optimal staffing in nonstationary service centers with constraints," Naval Research Logistics (NRL), John Wiley & Sons, vol. 63(8), pages 615-630, December.
    2. Joel Goh & Margrét V. Bjarnadóttir & Mohsen Bayati & Stefanos A. Zenios, 2015. "Active Postmarketing Drug Surveillance for Multiple Adverse Events," Operations Research, INFORMS, vol. 63(6), pages 1528-1546, December.
    3. Galit B. Yom-Tov & Anat Rafaeli, 2022. "Integrating emotional load into service operations," Queueing Systems: Theory and Applications, Springer, vol. 100(3), pages 565-567, April.
    4. Santiago R. Balseiro & Omar Besbes & Gabriel Y. Weintraub, 2015. "Repeated Auctions with Budgets in Ad Exchanges: Approximations and Design," Management Science, INFORMS, vol. 61(4), pages 864-884, April.
    5. Li, Dongmin & Hu, Qingpei & Wang, Lujia & Yu, Dan, 2019. "Statistical inference for Mt/G/Infinity queueing systems under incomplete observations," European Journal of Operational Research, Elsevier, vol. 279(3), pages 882-901.
    6. D Worthington, 2009. "Reflections on queue modelling from the last 50 years," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(1), pages 83-92, May.
    7. Cerqueti, Roy & Fenga, Livio & Ventura, Marco, 2018. "Does the U.S. exercise contagion on Italy? A theoretical model and empirical evidence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 499(C), pages 436-442.
    8. Andrew M. Ross, 2009. "Distribution sensitivity in a highway flow model," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 25(6), pages 769-786, November.
    9. Hongyuan Lu & Guodong Pang, 2016. "Gaussian Limits for a Fork-Join Network with Nonexchangeable Synchronization in Heavy Traffic," Mathematics of Operations Research, INFORMS, vol. 41(2), pages 560-595, May.
    10. Yong-Hong Kuo & Omar Rado & Benedetta Lupia & Janny M. Y. Leung & Colin A. Graham, 2016. "Improving the efficiency of a hospital emergency department: a simulation study with indirectly imputed service-time distributions," Flexible Services and Manufacturing Journal, Springer, vol. 28(1), pages 120-147, June.
    11. Niyirora, Jerome & Zhuang, Jun, 2017. "Fluid approximations and control of queues in emergency departments," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1110-1124.
    12. Wang, Haiyan & Olsen, Tava Lennon & Liu, Guiqing, 2018. "Service capacity competition with peak arrivals and delay sensitive customers," Omega, Elsevier, vol. 77(C), pages 80-95.
    13. Sophia Novitzky & Jamol Pender & Richard H. Rand & Elizabeth Wesson, 2020. "Limiting the oscillations in queues with delayed information through a novel type of delay announcement," Queueing Systems: Theory and Applications, Springer, vol. 95(3), pages 281-330, August.
    14. William A. Massey & Jamol Pender, 2018. "Dynamic rate Erlang-A queues," Queueing Systems: Theory and Applications, Springer, vol. 89(1), pages 127-164, June.

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