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A Diffusion Regime with Nondegenerate Slowdown

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  • Rami Atar

    (Department of Electrical Engineering, Technion--Israel Institute of Technology, 32000 Haifa, Israel)

Abstract

We study a diffusion regime---earlier considered by Gurvich, Mandelbaum, Shaikhet, and Whitt in the case of the M/M/N queue which may be regarded in a sense that we make precise, as a midpoint between two well-known heavy traffic diffusion regimes, the conventional and the quality and efficiency driven regimes. Unlike the other two, this regime, which we call the nondegenerate slowdown regime, enjoys the property that delay and service time are of the same order of magnitude, a property that is often desirable from a modeling viewpoint. Our main result is that in the case of heterogeneous exponential multiserver systems, this regime gives rise to new limit processes for the sojourn time. In particular, the joint limit law of the delay and service time processes is identified as a reflected Brownian motion and an independent process, whose marginal is a size-biased mixture of exponentials. Our results also motivate the formulation and study of new diffusion control problems based on sojourn time cost.

Suggested Citation

  • Rami Atar, 2012. "A Diffusion Regime with Nondegenerate Slowdown," Operations Research, INFORMS, vol. 60(2), pages 490-500, April.
  • Handle: RePEc:inm:oropre:v:60:y:2012:i:2:p:490-500
    DOI: 10.1287/opre.1110.1030
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    References listed on IDEAS

    as
    1. Rami Atar & Adam Shwartz, 2008. "Efficient Routing in Heavy Traffic Under Partial Sampling of Service Times," Mathematics of Operations Research, INFORMS, vol. 33(4), pages 899-909, November.
    2. Shlomo Halfin & Ward Whitt, 1981. "Heavy-Traffic Limits for Queues with Many Exponential Servers," Operations Research, INFORMS, vol. 29(3), pages 567-588, June.
    3. Ward Whitt, 2004. "Efficiency-Driven Heavy-Traffic Approximations for Many-Server Queues with Abandonments," Management Science, INFORMS, vol. 50(10), pages 1449-1461, October.
    4. Ward Whitt, 1992. "Understanding the Efficiency of Multi-Server Service Systems," Management Science, INFORMS, vol. 38(5), pages 708-723, May.
    5. Ward Whitt, 2003. "How Multiserver Queues Scale with Growing Congestion-Dependent Demand," Operations Research, INFORMS, vol. 51(4), pages 531-542, August.
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    Citations

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    Cited by:

    1. Matthieu Jonckheere & Balakrishna J. Prabhu, 2018. "Asymptotics of insensitive load balancing and blocking phases," Queueing Systems: Theory and Applications, Springer, vol. 88(3), pages 243-278, April.
    2. Daniela Hurtado-Lange & Siva Theja Maguluri, 2022. "A load balancing system in the many-server heavy-traffic asymptotics," Queueing Systems: Theory and Applications, Springer, vol. 101(3), pages 353-391, August.
    3. Anton Braverman, 2020. "Steady-State Analysis of the Join-the-Shortest-Queue Model in the Halfin–Whitt Regime," Mathematics of Operations Research, INFORMS, vol. 45(3), pages 1069-1103, August.
    4. Varun Gupta & Neil Walton, 2019. "Load Balancing in the Nondegenerate Slowdown Regime," Operations Research, INFORMS, vol. 67(1), pages 281-294, January.
    5. Jinsheng Chen & Jing Dong & Pengyi Shi, 2020. "A survey on skill-based routing with applications to service operations management," Queueing Systems: Theory and Applications, Springer, vol. 96(1), pages 53-82, October.
    6. Junfei Huang & Hanqin Zhang & Jiheng Zhang, 2016. "A Unified Approach to Diffusion Analysis of Queues with General Patience-Time Distributions," Mathematics of Operations Research, INFORMS, vol. 41(3), pages 1135-1160, August.
    7. Shuangchi He, 2020. "Diffusion Approximation for Efficiency-Driven Queues When Customers Are Patient," Operations Research, INFORMS, vol. 68(4), pages 1265-1284, July.
    8. Jayakrishnan Nair & Adam Wierman & Bert Zwart, 2016. "Provisioning of Large-Scale Systems: The Interplay Between Network Effects and Strategic Behavior in the User Base," Management Science, INFORMS, vol. 62(6), pages 1830-1841, June.
    9. Jiekun Feng & Pengyi Shi, 2018. "Steady‐state diffusion approximations for discrete‐time queue in hospital inpatient flow management," Naval Research Logistics (NRL), John Wiley & Sons, vol. 65(1), pages 26-65, February.
    10. Itai Gurvich & Junfei Huang & Avishai Mandelbaum, 2014. "Excursion-Based Universal Approximations for the Erlang-A Queue in Steady-State," Mathematics of Operations Research, INFORMS, vol. 39(2), pages 325-373, May.

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