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WCFS: a new framework for analyzing multiserver systems

Author

Listed:
  • Isaac Grosof

    (Carnegie Mellon University)

  • Mor Harchol-Balter

    (Carnegie Mellon University)

  • Alan Scheller-Wolf

    (Carnegie Mellon University)

Abstract

Multiserver queueing systems are found at the core of a wide variety of practical systems. Many important multiserver models have a previously-unexplained similarity: identical mean response time behavior is empirically observed in the heavy traffic limit. We explain this similarity for the first time. We do so by introducing the work-conserving finite-skip (WCFS) framework, which encompasses a broad class of important models. This class includes the heterogeneous M/G/k, the Limited Processor Sharing policy for the M/G/1, the Threshold Parallelism model and the Multiserver-Job model under a novel scheduling algorithm. We prove that for all WCFS models, scaled mean response time $$E[T](1-\rho )$$ E [ T ] ( 1 - ρ ) converges to the same value, $$E[S^2]/(2E[S])$$ E [ S 2 ] / ( 2 E [ S ] ) , in the heavy-traffic limit, which is also the heavy traffic limit for the M/G/1/FCFS. Moreover, we prove additively tight bounds on mean response time for the WCFS class, which hold for all load $$\rho $$ ρ . For each of the four models mentioned above, our bounds are the first known bounds on mean response time.

Suggested Citation

  • Isaac Grosof & Mor Harchol-Balter & Alan Scheller-Wolf, 2022. "WCFS: a new framework for analyzing multiserver systems," Queueing Systems: Theory and Applications, Springer, vol. 102(1), pages 143-174, October.
  • Handle: RePEc:spr:queues:v:102:y:2022:i:1:d:10.1007_s11134-022-09848-6
    DOI: 10.1007/s11134-022-09848-6
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    References listed on IDEAS

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    1. Laoucine Kerbache & F. S. Q. Alves & H. C. Yehia & L.A.C Pedrosa & F.R.B. Cruz, 2011. "Upper Bounds on Performance Measures of Heterogeneous M/M/c Queues," Post-Print hal-00609498, HAL.
    2. 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.
    3. Alexander Rumyantsev & Evsey Morozov, 2017. "Stability criterion of a multiserver model with simultaneous service," Annals of Operations Research, Springer, vol. 252(1), pages 29-39, May.
    4. Reza Aghajani & Kavita Ramanan, 2020. "The Limit of Stationary Distributions of Many-Server Queues in the Halfin–Whitt Regime," Mathematics of Operations Research, INFORMS, vol. 45(3), pages 1016-1055, August.
    5. F. S. Q. Alves & H. C. Yehia & L. A. C. Pedrosa & F. R. B. Cruz & Laoucine Kerbache, 2011. "Upper Bounds on Performance Measures of Heterogeneous ð ‘€ / ð ‘€ / ð ‘ Queues," Mathematical Problems in Engineering, Hindawi, vol. 2011, pages 1-18, July.
    6. Ramasamy, Sivasamy & Daman, Onkabetse A. & Sani, Sulaiman, 2015. "An M/G/2 queue where customers are served subject to a minimum violation of FCFS queue discipline," European Journal of Operational Research, Elsevier, vol. 240(1), pages 140-146.
    7. Percy H. Brill & Linda Green, 1984. "Queues in Which Customers Receive Simultaneous Service from a Random Number of Servers: A System Point Approach," Management Science, INFORMS, vol. 30(1), pages 51-68, January.
    8. Jiheng Zhang & J. G. Dai & Bert Zwart, 2009. "Law of Large Number Limits of Limited Processor-Sharing Queues," Mathematics of Operations Research, INFORMS, vol. 34(4), pages 937-970, November.
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    Cited by:

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