Server Optimization of Infinite Queueing Systems

András Mészáros () and Miklós Telek ()
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András Mészáros: MTA-BME Information Systems Research Group
Miklós Telek: Budapest University of Technology and Economics

Chapter Chapter 4 in Markov Decision Processes in Practice, 2017, pp 103-129 from Springer

Abstract: 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.

Keywords: Queueing System; Quasi-birth Death (QBD); Power-saving Mode; Markov Decision Process (MDP); Reward Rate (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-319-47766-4_4

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DOI: 10.1007/978-3-319-47766-4_4

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