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Distributionally robust views on extremal queues

Author

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  • Wouter Eekelen

    (Department of Econometrics and Operations Research, Tilburg University)

  • Johan S. H. Leeuwaarden

    (Department of Econometrics and Operations Research, Tilburg University)

Abstract

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Suggested Citation

  • Wouter Eekelen & Johan S. H. Leeuwaarden, 2022. "Distributionally robust views on extremal queues," Queueing Systems: Theory and Applications, Springer, vol. 100(3), pages 485-487, April.
    • Handle: RePEc:spr:queues:v:100:y:2022:i:3:d:10.1007_s11134-022-09810-6
    DOI: 10.1007/s11134-022-09810-6
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    References listed on IDEAS

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    1. Qingxia Kong & Chung-Yee Lee & Chung-Piaw Teo & Zhichao Zheng, 2013. "Scheduling Arrivals to a Stochastic Service Delivery System Using Copositive Cones," Operations Research, INFORMS, vol. 61(3), pages 711-726, June.
    2. Yan Chen & Ward Whitt, 2021. "Extremal GI/GI/1 queues given two moments: exploiting Tchebycheff systems," Queueing Systems: Theory and Applications, Springer, vol. 97(1), pages 101-124, February.
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    Cited by:

    1. Hanley, Brenda J. & Carstensen, Michelle & Walsh, Daniel P. & Christensen, Sonja A. & Storm, Daniel J. & Booth, James G. & Guinness, Joseph & Them, Cara E. & Ahmed, Md Sohel & Schuler, Krysten L., 2022. "Informing Surveillance through the Characterization of Outbreak Potential of Chronic Wasting Disease in White-Tailed Deer," Ecological Modelling, Elsevier, vol. 471(C).
    2. Ariel Neufeld & Matthew Ng Cheng En & Ying Zhang, 2024. "Robust SGLD algorithm for solving non-convex distributionally robust optimisation problems," Papers 2403.09532, arXiv.org.

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