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A transient symmetry analysis for the M/M/1/k queue

Author

Listed:
  • William A. Massey

    (Princeton University)

  • Emmanuel Ekwedike

    (Peraton Labs)

  • Robert C. Hampshire

    (University of Michigan)

  • Jamol J. Pender

    (Cornell University)

Abstract

We develop new techniques involving group symmetries and complex analysis to obtain exact solutions for the transition probabilities of the M/M/1/k queueing process. These methods are based on the underlying Markovian structure of these random processes and do not involve any generating functions, Laplace transforms, or advanced special functions. Our techniques exploit the intrinsic group symmetries for both the state spaces and the matrix generators of the Markov processes related to the M/M/1/k queue. These results complement and extend the previous transient solutions given by Takács (Introduction to the theory of queues. University texts in the mathematical sciences, Oxford University Press, New York, 1962). Much of the inspiration for this work comes from viewing this queueing process as a fundamental Markovian model for the dynamics of a bike sharing station. The exact transient analysis for a related stopped version of this process can be used to address fundamental decision-making issues for managing bike-sharing services.

Suggested Citation

  • William A. Massey & Emmanuel Ekwedike & Robert C. Hampshire & Jamol J. Pender, 2023. "A transient symmetry analysis for the M/M/1/k queue," Queueing Systems: Theory and Applications, Springer, vol. 103(1), pages 1-43, February.
  • Handle: RePEc:spr:queues:v:103:y:2023:i:1:d:10.1007_s11134-022-09849-5
    DOI: 10.1007/s11134-022-09849-5
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    References listed on IDEAS

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    1. Faghih-Imani, Ahmadreza & Hampshire, Robert & Marla, Lavanya & Eluru, Naveen, 2017. "An empirical analysis of bike sharing usage and rebalancing: Evidence from Barcelona and Seville," Transportation Research Part A: Policy and Practice, Elsevier, vol. 97(C), pages 177-191.
    2. Tal Raviv & Ofer Kolka, 2013. "Optimal inventory management of a bike-sharing station," IISE Transactions, Taylor & Francis Journals, vol. 45(10), pages 1077-1093.
    3. William A. Massey, 1987. "Stochastic Orderings for Markov Processes on Partially Ordered Spaces," Mathematics of Operations Research, INFORMS, vol. 12(2), pages 350-367, May.
    4. William J. Gordon & Gordon F. Newell, 1967. "Cyclic Queuing Systems with Restricted Length Queues," Operations Research, INFORMS, vol. 15(2), pages 266-277, April.
    5. Bacem Samet & Florent Couffin & Marc Zolghadri & Maher Barkallah & Mohamed Haddar, 2018. "Performance Analysis and Improvement of the Bike Sharing System Using Closed Queuing Networks with Blocking Mechanism," Sustainability, MDPI, vol. 10(12), pages 1-26, December.
    6. Legros, Benjamin, 2019. "Dynamic repositioning strategy in a bike-sharing system; how to prioritize and how to rebalance a bike station," European Journal of Operational Research, Elsevier, vol. 272(2), pages 740-753.
    7. Christine Fricker & Nicolas Gast, 2016. "Incentives and redistribution in homogeneous bike-sharing systems with stations of finite capacity," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 5(3), pages 261-291, August.
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