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Worst-case analysis for on-line service policies

Author

Listed:
  • Zhenbo Wang

    (Tsinghua University)

  • Wenxun Xing

    (Tsinghua University)

Abstract

This paper considers an on-line scheduling problem occurred in a service system with two classes (ordinary and special) of customers and two types (dedicated and flexible) of servers. The customers line up with a list according to the order of their arrivals. All customers are assumed to be in the system when service starts and no preemption is allowed. The objective is to complete all services in list as early as possible. We study three classes of service policies that are commonly used in practice and analyze their worst-case performance in terms of makespan. Tight worst-case ratios have been derived for these service policies.

Suggested Citation

  • Zhenbo Wang & Wenxun Xing, 2010. "Worst-case analysis for on-line service policies," Journal of Combinatorial Optimization, Springer, vol. 19(1), pages 107-122, January.
    • Handle: RePEc:spr:jcomop:v:19:y:2010:i:1:d:10.1007_s10878-008-9170-0
    DOI: 10.1007/s10878-008-9170-0
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    References listed on IDEAS

    as
    1. Yiwei Jiang, 2008. "Online scheduling on parallel machines with two GoS levels," Journal of Combinatorial Optimization, Springer, vol. 16(1), pages 28-38, July.
    2. Zhenbo Wang & Wenxun Xing, 2008. "Performance of service policies in a specialized service system with parallel servers," Annals of Operations Research, Springer, vol. 159(1), pages 451-460, March.
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    Cited by:

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    2. Ying Liu & Xiuqing Yang & Yong Xiang & Yi Chen & Gang Mao & Xinzhi Zhou, 2022. "Allocation and optimization of shared self-service check-in system based on integer programming model," Journal of Combinatorial Optimization, Springer, vol. 44(1), pages 532-556, August.

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