A Queuing-Type Birth-and-Death Process Defined on a Continuous-Time Markov Chain.

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Abstract

This paper considers an n-phase generalization of the typical M/M/1 queuing model, where the queuing-type birth-and-death process is defined on a continuous-time n-state Markov chain. It shows that many models analyzed in the literature can be considered special cases of this framework. The paper focuses on the steady-state regime, and observes that, in general, closed-form results for the limiting probabilities are circuit to obtain, if at all possible. Hence, numerical methods should be employed. For an interesting special case, explicit results are obtained that are analagous to the classical solutions for the simple M/M/1 queue.
Original languageEnglish
Pages (from-to)604-609
Number of pages6
JournalOperations Research
Volume21
Issue number2
DOIs
StatePublished - 1 Mar 1973

Keywords

  • Queuing theory
  • Markov processes
  • Differential equations
  • Probability theory
  • Mathematics
  • Stochastic processes
  • Production scheduling

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