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Optimality of the fastest available server policy

Author

Listed:
  • William P. Millhiser

    (The City University of New York)

  • Charu Sinha

    (Chapman University)

  • Matthew J. Sobel

    (Case Western Reserve University)

Abstract

We give sufficient conditions under which a policy that assigns customers to the Fastest Available Server, labeled FAS, is optimal among nonidling policies in queueing models with multiple independent Markov-modulated Poisson arrival processes and heterogeneous parallel exponential servers with server-dependent service rates. The criteria are to minimize the long-run average cost per unit time and the expected present value of the costs. We obtain results for loss and delay queueing models with finite- or infinite-capacity buffers under a first-come-first-served priority scheme. We analyze the robustness of the cost structure assumptions that are invoked in the proof of FAS optimality.

Suggested Citation

  • William P. Millhiser & Charu Sinha & Matthew J. Sobel, 2016. "Optimality of the fastest available server policy," Queueing Systems: Theory and Applications, Springer, vol. 84(3), pages 237-263, December.
  • Handle: RePEc:spr:queues:v:84:y:2016:i:3:d:10.1007_s11134-016-9502-1
    DOI: 10.1007/s11134-016-9502-1
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    References listed on IDEAS

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    1. Richard F. Serfozo, 1979. "Technical Note—An Equivalence Between Continuous and Discrete Time Markov Decision Processes," Operations Research, INFORMS, vol. 27(3), pages 616-620, June.
    2. Avishai Mandelbaum & Alexander L. Stolyar, 2004. "Scheduling Flexible Servers with Convex Delay Costs: Heavy-Traffic Optimality of the Generalized cμ-Rule," Operations Research, INFORMS, vol. 52(6), pages 836-855, December.
    3. Matthew J. Sobel, 1982. "The Optimality of Full Service Policies," Operations Research, INFORMS, vol. 30(4), pages 636-649, August.
    4. Linda Green, 1984. "A Multiple Dispatch Queueing Model of Police Patrol Operations," Management Science, INFORMS, vol. 30(6), pages 653-664, June.
    5. Linda Green & Peter Kolesar, 1984. "A Comparison of the Multiple Dispatch and M/M/c Priority Queueing Models of Police Patrol," Management Science, INFORMS, vol. 30(6), pages 665-670, June.
    6. Kiran Seth, 1977. "Technical Note—Optimal Service Policies, Just after Idle Periods, in Two-Server Heterogeneous Queuing Systems," Operations Research, INFORMS, vol. 25(2), pages 356-360, April.
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    Cited by:

    1. Li Xia & Zhe George Zhang & Quan‐Lin Li, 2022. "A c/μ‐Rule for Job Assignment in Heterogeneous Group‐Server Queues," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 1191-1215, March.

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