Skip to main content
Log in

A blind policy for equalizing cumulative idleness

  • Published:
Queueing Systems Aims and scope Submit manuscript

Abstract

We consider a system with a single queue and multiple server pools of heterogeneous exponential servers. The system operates under a policy that always routes a job to the pool with longest cumulative idleness among pools with available servers, in an attempt to achieve fairness toward servers. It is easy to find examples of a system with a fixed number of servers, for which fairness is not achieved by this policy in any reasonable sense. Our main result shows that in the many-server regime of Halfin and Whitt, the policy does attain equalization of cumulative idleness, and that the equalization time, defined within any given precision level, remains bounded in the limit. An important feature of this policy is that it acts ‘blindly’, in that it requires no information on the service or arrival rates.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Armony, M., Ward, A.R.: Fair dynamic routing in large-scale heterogeneous-server systems. Preprint (2008)

  2. Armony, M., Ward, A.R.: Blind fair routing in large-scale service systems. Preprint

  3. Atar, R.: Central limit theorem for a many-server queue with random service rates. Ann. Appl. Probab. 18(4), 1548–1568 (2008)

    Article  Google Scholar 

  4. Atar, R., Shwartz, A.: Efficient routing in heavy traffic under partial sampling of service times. Math. Oper. Res. 33, 899–909 (2008)

    Article  Google Scholar 

  5. Avi-Itzhak, B., Levy, H., Raz, D.: Quantifying fairness in queueing systems: principles and applications. Preprint (2004)

  6. Billingsley, P.: Convergence of Probability Measures. Wiley, New York

  7. Dai, J.G., Tezcan, T.: State space collapse in many server diffusion limits of parallel server systems. Preprint

  8. Gurvich, I., Whitt, W.: Queue-and-idleness-ratio controls in many-server service systems. Math. Oper. Res. 34, 363–396 (2009)

    Article  Google Scholar 

  9. Halfin, S., Whitt, W.: Heavy-traffic limits for queues with many exponential servers. Oper. Res. 29(3), 567–588 (1981)

    Article  Google Scholar 

  10. Hale, J.K.: Ordinary Differential Equations. Krieger, Huntington (1980)

    Google Scholar 

  11. Jacod, J., Shiryaev, A.: Limit Theorems for Stochastic Processes. Springer, Berlin (1987)

    Google Scholar 

  12. Stolyar, A.L., Tezcan, T.: Control of systems with flexible multi-server pools: a shadow routing approach. Preprint (2008)

  13. Tseytlin, Y.: Queueing systems with heterogeneous servers: improving patients’ flow in hospitals. Research Proposal, The Faculty of Industrial Engineering and Management, Technion (2007)

  14. Wierman, A.: Fairness and classification. Perform. Eval. Rev. 34(4), 4–12 (2007)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rami Atar.

Additional information

Research supported in part by BSF (Grant 2008466), ISF (Grant 1349/08) and the fund for promotion of research at the Technion.

Research supported in part by BSF (Grant 2008466), ISF (Grant 1349/08) and the Viterbi Postdoctoral Fellowship.

The Julius M. and Bernice Neiman Chair in Engineering. Research supported in part by BSF (Grant 2008466) and the fund for promotion of research at the Technion.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Atar, R., Shaki, Y.Y. & Shwartz, A. A blind policy for equalizing cumulative idleness. Queueing Syst 67, 275–293 (2011). https://doi.org/10.1007/s11134-011-9212-7

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11134-011-9212-7

Keywords

Mathematics Subject Classification (2000)

Navigation