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Algorithmic Analysis of Finite-Source Multi-Server Heterogeneous Queueing Systems

Author

Listed:
  • Dmitry Efrosinin

    (Insitute for Stochastics, Johannes Kepler University Linz, Altenbergerstrasse 69, 4040 Linz, Austria
    Department of Information Technologies, Faculty of Mathematics and Natural Sciences, Peoples’ Friendship University of Russia (RUDN University), Miklukho-Maklaya 6, 117198 Moscow, Russia
    V.A. Trapeznikov Institute of Control Sciences of RAS, Profsoyuznaya 65, 117997 Moscow, Russia)

  • Natalia Stepanova

    (V.A. Trapeznikov Institute of Control Sciences of RAS, Profsoyuznaya 65, 117997 Moscow, Russia)

  • Janos Sztrik

    (Department of Informatics and Networks, Faculty of Informatics, University of Debrecen, Egyetem tér 1, 4032 Debrecen, Hungary)

Abstract

The paper deals with a finite-source queueing system serving one class of customers and consisting of heterogeneous servers with unequal service intensities and of one common queue. The main model has a non-preemptive service when the customer can not change the server during its service time. The optimal allocation problem is formulated as a Markov-decision one. We show numerically that the optimal policy which minimizes the long-run average number of customers in the system has a threshold structure. We derive the matrix expressions for performance measures of the system and compare the main model with alternative simplified queuing systems which are analysed for the arbitrary number of servers. We observe that the preemptive heterogeneous model operating under a threshold policy is a good approximation for the main model by calculating the mean number of customers in the system. Moreover, using the preemptive and non-preemptive queueing models with the faster server first policy the lower and upper bounds are calculated for this mean value.

Suggested Citation

  • Dmitry Efrosinin & Natalia Stepanova & Janos Sztrik, 2021. "Algorithmic Analysis of Finite-Source Multi-Server Heterogeneous Queueing Systems," Mathematics, MDPI, vol. 9(20), pages 1-24, October.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:20:p:2624-:d:658780
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    References listed on IDEAS

    as
    1. Dmitry Efrosinin & Natalia Stepanova & Janos Sztrik & Andreas Plank, 2020. "Approximations in Performance Analysis of a Controllable Queueing System with Heterogeneous Servers," Mathematics, MDPI, vol. 8(10), pages 1-18, October.
    2. Delasay, Mohammad & Kolfal, Bora & Ingolfsson, Armann, 2012. "Maximizing throughput in finite-source parallel queue systems," European Journal of Operational Research, Elsevier, vol. 217(3), pages 554-559.
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    Citations

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    Cited by:

    1. Asmita Tamuli & Dhruba Das & Amit Choudhury, 2024. "Optimizing the Performance of Multi-server Heterogeneous Queueing Systems with Dynamic Customer Behaviour," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 86(2), pages 366-414, November.

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