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Titlebook: Introduction to Queueing Systems with Telecommunication Applications; Laszlo Lakatos,Laszlo Szeidl,Miklos Telek Textbook 20131st edition S

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László Lakatos,László Szeidl,Miklós Telekiled analyses of specific topics such as the role of antibiotics in animal production, the Green Revolution, and alternative methods of organic farming, with longer entries that summarize general areas of schol978-94-007-6167-4
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Introduction to Stochastic Processesof random variables. This collection describes the changes (usually in time and in space) of considered quantities. If the set . is a subset of the set of real numbers, then the set . can be interpreted as time and we can say that the random quantities .. vary in time. In this case the collection of
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Markov Chains with Special Structures analysis of the models is more complex than the analysis of Markov models. In this chapter we introduce a methodology to extend the set of models that can be analyzed by Markov models while the distributions can be other than exponential.
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Markovian Queueing Systemssystems. The analysis of these systems is based on the essential results available for the analysis of CTMCs. As a consequence, several interesting properties of these queueing systems can be described by simple closed-form analytical expressions both in transient (as a function of time and initial
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Queueing Systems with Structured Markov Chainsof queueing systems with exponential interarrival and service time distributions. The number of customers in these queueing systems is characterized by CTMCs with a generally nonhomogeneous birth-and-death structure. In contrast, Chap. 8 is devoted to the analysis of queueing systems with nonexponen
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