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Proportional Switching in First-in, First-out Networks

Author

Listed:
  • Maury Bramson

    (School of Mathematics, University of Minnesota, Minneapolis, Minnesota 55455)

  • Bernardo D’Auria

    (Departmento de Estadística, Universidad Carlos III de Madrid, 28903 Getafe, Madrid, Spain; UC3M-BS Institute of Financial Big Data, Calle Madrid 135, 28903 Getafe, Madrid, Spain)

  • Neil Walton

    (Alan Turing Building, University of Manchester, Manchester M13 9PL, United Kingdom)

Abstract

We consider a family of discrete time multihop switched queueing networks where each packet moves along a fixed route. In this setting, BackPressure is the canonical choice of scheduling policy; this policy has the virtues of possessing a maximal stability region and not requiring explicit knowledge of traffic arrival rates. BackPressure has certain structural weaknesses because implementation requires information about each route, and queueing delays can grow super-linearly with route length. For large networks, where packets over many routes are processed by a queue, or where packets over a route are processed by many queues, these limitations can be prohibitive. In this article, we introduce a scheduling policy for first-in, first-out networks, the ProportionalScheduler, which is based on the proportional fairness criterion. We show that, like BackPressure, the ProportionalScheduler has a maximal stability region and does not require explicit knowledge of traffic arrival rates. The ProportionalScheduler has the advantage that information about the network’s route structure is not required for scheduling, which substantially improves the policy’s performance for large networks. For instance, packets can be routed with only next-hop information and new nodes can be added to the network with only knowledge of the scheduling constraints.

Suggested Citation

  • Maury Bramson & Bernardo D’Auria & Neil Walton, 2017. "Proportional Switching in First-in, First-out Networks," Operations Research, INFORMS, vol. 65(2), pages 496-513, April.
  • Handle: RePEc:inm:oropre:v:65:y:2017:i:2:p:496-513
    DOI: 10.1287/opre.2016.1565
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    References listed on IDEAS

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    1. Paul J. Burke, 1956. "The Output of a Queuing System," Operations Research, INFORMS, vol. 4(6), pages 699-704, December.
    2. A. B. Dieker & J. Shin, 2013. "From Local to Global Stability in Stochastic Processing Networks Through Quadratic Lyapunov Functions," Mathematics of Operations Research, INFORMS, vol. 38(4), pages 638-664, November.
    3. Heng-Qing Ye & Jihong Ou & Xue-Ming Yuan, 2005. "Stability of Data Networks: Stationary and Bursty Models," Operations Research, INFORMS, vol. 53(1), pages 107-125, February.
    4. Avishai Mandelbaum & Alexander L. Stolyar, 2004. "Scheduling Flexible Servers with Convex Delay Costs: Heavy-Traffic Optimality of the Generalized cμ-Rule," Operations Research, INFORMS, vol. 52(6), pages 836-855, December.
    5. Heng-Qing Ye & David D. Yao, 2012. "A Stochastic Network Under Proportional Fair Resource Control---Diffusion Limit with Multiple Bottlenecks," Operations Research, INFORMS, vol. 60(3), pages 716-738, June.
    6. Bin Li & R. Srikant, 2016. "Queue-proportional rate allocation with per-link information in multihop wireless networks," Queueing Systems: Theory and Applications, Springer, vol. 83(3), pages 329-359, August.
    7. J. G. Dai & Wuqin Lin, 2005. "Maximum Pressure Policies in Stochastic Processing Networks," Operations Research, INFORMS, vol. 53(2), pages 197-218, April.
    8. James R. Jackson, 1963. "Jobshop-Like Queueing Systems," Management Science, INFORMS, vol. 10(1), pages 131-142, October.
    9. Matthieu Jonckheere & Sergio López, 2014. "Large Deviations for the Stationary Measure of Networks Under Proportional Fair Allocations," Mathematics of Operations Research, INFORMS, vol. 39(2), pages 418-431, May.
    10. Jonatha Anselmi & Bernardo D'Auria & Neil Walton, 2013. "Closed Queueing Networks Under Congestion: Nonbottleneck Independence and Bottleneck Convergence," Mathematics of Operations Research, INFORMS, vol. 38(3), pages 469-491, August.
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