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Minimizing the Worst Slowdown: Off-Line and On-Line

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  • Moulin, Herve

    (Rice U)

Abstract

Minimizing the slowdown (expected sojourn time divided by job size) is a key concern of fairness in scheduling and queuing problems where job sizes are very heterogeneous. We look for protocols (service disciplines) capping the worst slowdown (called here liability) a job may face no matter how large (or small) the other jobs are. In the scheduling problem (all jobs released at the same time), allowing the server to randomize the order of service cuts almost in half the liability profiles feasible under deterministic protocols. The same statement holds if cash transfers are feasible and users have linear waiting costs.

Suggested Citation

  • Moulin, Herve, 2005. "Minimizing the Worst Slowdown: Off-Line and On-Line," Working Papers 2005-03, Rice University, Department of Economics.
    • Handle: RePEc:ecl:riceco:2005-03
    as

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    File URL: http://www.ruf.rice.edu/~econ/papers/2005papers/slowdn6.pdf
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    References listed on IDEAS

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    1. Maniquet, Francois, 2003. "A characterization of the Shapley value in queueing problems," Journal of Economic Theory, Elsevier, vol. 109(1), pages 90-103, March.
    2. Moulin, Herve, 2005. "Split-Proof Probabilistic Scheduling," Working Papers 2004-06, Rice University, Department of Economics.
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    Cited by:

    1. Moulin, Herve, 2005. "Split-Proof Probabilistic Scheduling," Working Papers 2004-06, Rice University, Department of Economics.

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