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Static and dynamic server allocation in systems with on/off sources

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  • Joris Slegers
  • Isi Mitrani
  • Nigel Thomas

Abstract

A system consisting of a number of servers, where demands of different types arrive in bursts (modelled by interrupted Poisson processes), is examined in the steady state. The problem is to decide how many servers to allocate to each job type, so as to minimize a cost function expressed in terms of average queue sizes. First, an exact analysis is provided for an isolated IPP/M/n queue. The results are used to compute the optimal static server allocation policy. The latter is then compared to four heuristic policies which employ dynamic switching of servers from one queue to another (such switches take time and hence incur costs). Copyright Springer Science+Business Media, LLC 2009

Suggested Citation

  • Joris Slegers & Isi Mitrani & Nigel Thomas, 2009. "Static and dynamic server allocation in systems with on/off sources," Annals of Operations Research, Springer, vol. 170(1), pages 251-263, September.
    • Handle: RePEc:spr:annopr:v:170:y:2009:i:1:p:251-263:10.1007/s10479-008-0440-0
    DOI: 10.1007/s10479-008-0440-0
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    Cited by:

    1. Trigos, Federico & Vazquez, Alan R. & Cárdenas-Barrón, Leopoldo Eduardo, 2019. "A simulation-based heuristic that promotes business profit while increasing the perceived quality of service industries," International Journal of Production Economics, Elsevier, vol. 211(C), pages 60-70.

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