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On Global Near Optimality of Special Periodic Protocols for Fluid Polling Systems with Setups

Author

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  • Alexey Matveev

    (Saint Petersburg State University)

  • Varvara Feoktistova

    (Saint Petersburg State University)

  • Ksenia Bolshakova

    (Saint Petersburg State University)

Abstract

We consider a generic deterministic time-invariant fluid model of a polling system, where several buffers (queues) of infinite sizes receive constant rate inflows of jobs from outside the system and share a common source of service (a finite capacity server). The server can serve at most one buffer at a time and has to switch among buffers from time to time; any switch consumes a nonzero switch-over period. With respect to the long-run maximal scaled work in progress (wip) performance metric, near optimality of periodic scheduling and service protocols is established: The optimum can be furnished by such a protocol up to as small error as desired. To prove this, a special class of protocols is introduced, which prescribe to serve any buffer at the maximal rate until its size reduces to a pre-specified percent of its size at the beginning of the visit. It is also shown that the exhaustive policy is optimal for any buffer whose service at the maximal rate implies reduction in the scaled wip.

Suggested Citation

  • Alexey Matveev & Varvara Feoktistova & Ksenia Bolshakova, 2016. "On Global Near Optimality of Special Periodic Protocols for Fluid Polling Systems with Setups," Journal of Optimization Theory and Applications, Springer, vol. 171(3), pages 1055-1070, December.
    • Handle: RePEc:spr:joptap:v:171:y:2016:i:3:d:10.1007_s10957-016-0923-0
    DOI: 10.1007/s10957-016-0923-0
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    References listed on IDEAS

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    1. Martin I. Reiman & Lawrence M. Wein, 1998. "Dynamic Scheduling of a Two-Class Queue with Setups," Operations Research, INFORMS, vol. 46(4), pages 532-547, August.
    2. David M. Markowitz & Martin I. Reiman & Lawrence M. Wein, 2000. "The Stochastic Economic Lot Scheduling Problem: Heavy Traffic Analysis of Dynamic Cyclic Policies," Operations Research, INFORMS, vol. 48(1), pages 136-154, February.
    3. Wei-Min Lan & Tava Lennon Olsen, 2006. "Multiproduct Systems with Both Setup Times and Costs: Fluid Bounds and Schedules," Operations Research, INFORMS, vol. 54(3), pages 505-522, June.
    4. Aytug, Haldun & Lawley, Mark A. & McKay, Kenneth & Mohan, Shantha & Uzsoy, Reha, 2005. "Executing production schedules in the face of uncertainties: A review and some future directions," European Journal of Operational Research, Elsevier, vol. 161(1), pages 86-110, February.
    5. Izak Duenyas & Mark P. Van Oyen, 1996. "Heuristic Scheduling of Parallel Heterogeneous Queues with Set-Ups," Management Science, INFORMS, vol. 42(6), pages 814-829, June.
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    Cited by:

    1. Vladimir Vishnevsky & Olga Semenova, 2021. "Polling Systems and Their Application to Telecommunication Networks," Mathematics, MDPI, vol. 9(2), pages 1-30, January.

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