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Server Optimization of Infinite Queueing Systems

In: Markov Decision Processes in Practice

Author

Listed:
  • András Mészáros

    (MTA-BME Information Systems Research Group)

  • Miklós Telek

    (Budapest University of Technology and Economics)

Abstract

The problem of optimizing Markovian models with infinitely or finite but infeasible large state space is considered. In several practically interesting cases the state space of the model is finite and extremely large or infinite, and the transition and decision structures have some regular property which can be exploited for efficient analysis and optimization. Among the Markovian models with regular structure we discuss the analysis related to the birth death and the quasi birth death (QBD) structure.

Suggested Citation

  • András Mészáros & Miklós Telek, 2017. "Server Optimization of Infinite Queueing Systems," International Series in Operations Research & Management Science, in: Richard J. Boucherie & Nico M. van Dijk (ed.), Markov Decision Processes in Practice, chapter 0, pages 103-129, Springer.
    • Handle: RePEc:spr:isochp:978-3-319-47766-4_4
    DOI: 10.1007/978-3-319-47766-4_4
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