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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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书目名称Introduction to Queueing Systems with Telecommunication Applications
编辑Laszlo Lakatos,Laszlo Szeidl,Miklos Telek
视频video
概述Examples from modern communication system.Accurately established mathematical background (part 1), with intuitive explanations for queueing applications (part 2 Guidelines for application of queueing
图书封面Titlebook: Introduction to Queueing Systems with Telecommunication Applications;  Laszlo Lakatos,Laszlo Szeidl,Miklos Telek Textbook 20131st edition S
描述.The book is composed of two main parts: mathematical background and queueing systems with applications. The mathematical background is a self containing introduction to the stochastic processes of the later studies queueing systems. It starts with a quick introduction to probability theory and stochastic processes and continues with chapters on Markov chains and regenerative processes. More recent advances of queueing systems are based on phase type distributions, Markov arrival processes and quasy birth death processes, which are introduced in the last chapter of the first part.. The second part is devoted to queueing models and their applications. After the introduction of the basic Markovian (from M/M/1 to M/M/1//N) and non-Markovian (M/G/1, G/M/1) queueing systems, a chapter presents the analysis of queues with  phase type distributions, Markov arrival processes (from PH/M/1 to MAP/PH/1/K). The next chapter presents the classical queueing network results and the rest of this part is devoted to the application examples. There are queueing models for bandwidth charing with different traffic classes, slotted multiplexers, ATM switches, media access protocols like Aloha and IEEE 8
出版日期Textbook 20131st edition
关键词Markov chains; queueing networks; queueing systems; stochastic models; traffic engineering
版次1
doihttps://doi.org/10.1007/978-1-4614-5317-8
isbn_ebook978-1-4614-5317-8
copyrightSpringer Science+Business Media, LCC 2013
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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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