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LEADER: 07542cam 2200925Ia 4500
001 ocn668096039
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005 20220815155515.0
008 101004s2010 nyu ob 001 0 eng d
006 m o d
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024 7 $a10.1007/978-1-4419-7314-6$2doi
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037 $a978-1-4419-7313-9$bSpringer$nhttp://www.springerlink.com
050 4 $aQA274.8$b.A44 2010
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072 7 $aUYAM$2bicssc
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082 04 $a519.8/2$222
100 1 $aAlfa, Attahiru S.$q(Attahiru Sule)
245 10 $aQueueing theory for telecommunications :$bdiscrete time modelling of a single node system /$cAttahiru Sule Alfa.
260 $aNew York :$bSpringer,$c©2010.
300 $a1 online resource (xiv, 238 pages)
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
347 $atext file
347 $bPDF
504 $aIncludes bibliographical references and index.
588 0 $aPrint version record.
505 0 $a1.0 Introduction -- 1.1 Description and examples of queueing systems -- 1.2 Applications of queueing models to real life problems -- 1.3 Historical development of queueing theory -- 2.0 Discrete time Markov chains (DTMC) -- 2.1 DTMC -- 2.2. Focus on Quasi-birth-and-death processes (a special class of infinite DTMC) -- 3.0 Concept of a queueing system and characterization -- 3.1 Performance measures -- 3.2 Describing a queueing system and how it is characterized -- 3.3 The key parameters that define a queueing system -- 3.4 Performance measures of interest -- 3.5 Arrival and service processes -- 4. 0 Single Node Queues -- 4.1 Simple single server queue -- 4.2 Multi-server queues -- 4.3 Queues with feedback -- 4.4 Priority queues -- 4.5 Vacation queues -- 4.6 Queues with server breakdowns and repairs -- 4.7 Retrial queues -- 4.8 Queues with impatient customers -- 4.9 Queues with multiple customer types -- 5.0 Aspects of Single Node Queues -- 5.1 Tail behavior of single node queues -- 5.2 Mean-value analysis of queues -- 5.3 Transient analysis of queues -- 5.4 Queues with time-varying parameters -- 6. 0 Tools for analyzing queueing systems -- 6.1 MATLAB -- Index.
520 $aQueueing theory applications can be discovered in many walks of life including; transportation, manufacturing, telecommunications, computer systems and more. However, the most prevalent applications of queueing theory are in the telecommunications field. Queueing Theory for Telecommunications: Discrete Time Modelling of a Single Node System focuses on discrete time modeling and illustrates that most queueing systems encountered in real life can be set up as a Markov chain. This feature is very unique because the models are set in such a way that matrix-analytic methods are used to analyze them. Queueing Theory for Telecommunications: Discrete Time Modelling of a Single Node System is the most relevant book available on queueing models designed for applications to telecommunications. This book presents clear concise theories behind how to model and analyze key single node queues in discrete time using special tools that were presented in the second chapter. The text also delves into the types of single node queues that are very frequently encountered in telecommunication systems modeling, and provides simple methods for analyzing them. Where appropriate, alternative analysis methods are also presented. This book is for advanced-level students and researchers concentrating on engineering, computer science and mathematics as a secondary text or reference book. Professionals who work in the related industries of telecommunications, industrial engineering and communications engineering will find this book useful as well.
546 $aEnglish.
650 0 $aQueuing theory.
650 6 $aThéorie des files d'attente.
650 7 $aMATHEMATICS$xApplied.$2bisacsh
650 7 $aMATHEMATICS$xProbability & Statistics$xGeneral.$2bisacsh
650 7 $aInformatique.$2eclas
650 7 $aQueuing theory.$2fast$0(OCoLC)fst01085713
655 4 $aElectronic books.
776 08 $iPrint version:$aAlfa, Attahiru S. (Attahiru Sule).$tQueueing theory for telecommunications$z9781441973139
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