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Finite-buffer polling systems with threshold-based switching policy

Author

Listed:
  • Kostia Avrachenkov

    (Inria, Sophia Antipolis)

  • Efrat Perel

    (Afeka, Tel-Aviv Academic College of Engineering
    School of Mathematical Sciences, Tel-Aviv University)

  • Uri Yechiali

    (School of Mathematical Sciences, Tel-Aviv University)

Abstract

We consider a system of two separate finite-buffer M / M / 1 queues served by a single server, where the switching mechanism between the queues is threshold-based, determined by the queue which is not being served. Applications may be found in data centers, smart traffic-light control and human behavior. Specifically, whenever the server attends queue i ( $$Q_i$$ Q i ) and the number of customers in the other queue, $$Q_j$$ Q j ( $$i,j=1,2$$ i , j = 1 , 2 ; $$j\ne i$$ j ≠ i ), reaches its threshold level, the server immediately switches to $$Q_j$$ Q j whenever $$Q_i$$ Q i is below its threshold. When a served $$Q_i$$ Q i becomes empty we consider two scenarios: (i) non-work-conserving; and (ii) work-conserving. We present occasions where the non-work-conserving policy is more economical than the work-conserving policy when high switching costs are involved. An intrinsic feature of the process is an oscillation phenomenon: when the occupancy of $$Q_i$$ Q i decreases the occupancy of the other queue increases. This fact is illustrated and discussed. By formulating the system as a three-dimensional continuous-time Markov chain we provide a probabilistic analysis of the system and investigate the effects of buffer sizes and arrival rates, as well as service rates, on the system’s performance. Numerical examples are presented and extreme cases are investigated.

Suggested Citation

  • Kostia Avrachenkov & Efrat Perel & Uri Yechiali, 2016. "Finite-buffer polling systems with threshold-based switching policy," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 24(3), pages 541-571, October.
  • Handle: RePEc:spr:topjnl:v:24:y:2016:i:3:d:10.1007_s11750-015-0408-6
    DOI: 10.1007/s11750-015-0408-6
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    References listed on IDEAS

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    1. Arnon Arazi & Eshel Ben-Jacob & Uri Yechiali, 2005. "Controlling an oscillating Jackson-type network having state-dependent service rates," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 62(3), pages 453-466, December.
    2. Boxma, O. J. & Down, D. G., 1997. "Dynamic server assignment in a two-queue model," European Journal of Operational Research, Elsevier, vol. 103(3), pages 595-609, December.
    3. Efrat Perel & Uri Yechiali, 2013. "On Customers Acting As Servers," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 30(05), pages 1-23.
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    Cited by:

    1. Nimrod Dvir & Refael Hassin & Uri Yechiali, 2020. "Strategic behaviour in a tandem queue with alternating server," Queueing Systems: Theory and Applications, Springer, vol. 96(3), pages 205-244, December.
    2. Jewgeni H. Dshalalow & Ahmed Merie & Ryan T. White, 2020. "Fluctuation Analysis in Parallel Queues with Hysteretic Control," Methodology and Computing in Applied Probability, Springer, vol. 22(1), pages 295-327, March.
    3. Jewgeni H. Dshalalow & Ahmed Merie, 2018. "Fluctuation analysis in queues with several operational modes and priority customers," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 26(2), pages 309-333, July.
    4. Kevin Granville & Steve Drekic, 2021. "The unobserved waiting customer approximation," Queueing Systems: Theory and Applications, Springer, vol. 99(3), pages 345-396, December.
    5. Vladimir Vishnevsky & Olga Semenova, 2021. "Polling Systems and Their Application to Telecommunication Networks," Mathematics, MDPI, vol. 9(2), pages 1-30, January.
    6. Sem Borst & Onno Boxma, 2018. "Polling: past, present, and perspective," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 26(3), pages 335-369, October.
    7. Kevin Granville & Steve Drekic, 2020. "A 2-class maintenance model with dynamic server behavior," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(1), pages 34-96, April.

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