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Near optimal control of queueing networks over a finite time horizon

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  • Yoni Nazarathy
  • Gideon Weiss

Abstract

We propose a method for the control of multi-class queueing networks over a finite time horizon. We approximate the multi-class queueing network by a fluid network and formulate a fluid optimization problem which we solve as a separated continuous linear program. The optimal fluid solution partitions the time horizon to intervals in which constant fluid flow rates are maintained. We then use a policy by which the queueing network tracks the fluid solution. To that end we model the deviations between the queuing and the fluid network in each of the intervals by a multi-class queueing network with some infinite virtual queues. We then keep these deviations stable by an adaptation of a maximum pressure policy. We show that this method is asymptotically optimal when the number of items that is processed and the processing speed increase. We illustrate these results through a simple example of a three stage re-entrant line. Copyright Springer Science+Business Media, LLC 2009

Suggested Citation

  • Yoni Nazarathy & Gideon Weiss, 2009. "Near optimal control of queueing networks over a finite time horizon," Annals of Operations Research, Springer, vol. 170(1), pages 233-249, September.
  • Handle: RePEc:spr:annopr:v:170:y:2009:i:1:p:233-249:10.1007/s10479-008-0443-x
    DOI: 10.1007/s10479-008-0443-x
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    References listed on IDEAS

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    1. Lawrence M. Wein, 1992. "Scheduling Networks of Queues: Heavy Traffic Analysis of a Multistation Network with Controllable Inputs," Operations Research, INFORMS, vol. 40(3-supplem), pages 312-334, June.
    2. J. G. Dai & Wuqin Lin, 2005. "Maximum Pressure Policies in Stochastic Processing Networks," Operations Research, INFORMS, vol. 53(2), pages 197-218, April.
    3. Hong Chen & David D. Yao, 1993. "Dynamic Scheduling of a Multiclass Fluid Network," Operations Research, INFORMS, vol. 41(6), pages 1104-1115, December.
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    Cited by:

    1. Liron Ravner & Yoni Nazarathy, 2017. "Scheduling for a processor sharing system with linear slowdown," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 86(1), pages 71-102, August.
    2. Mohammad Mehdi Nasrabadi & Mohammad Ali Yaghoobi & Mashaallah Mashinchi, 2010. "Solution algorithms for a class of continuous linear programs with fuzzy valued objective functions," Fuzzy Information and Engineering, Springer, vol. 2(1), pages 5-26, March.

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