000			03475nam a22004935i 4500
001			978-1-4020-3631-6
003			DE-He213
005			20251006084458.0
007			cr nn 008mamaa
008			100301s2005 ne | s |||| 0|eng d
020			_a9781402036316
020			_a99781402036316
024	7		_a10.1007/1-4020-3631-0 _2doi
082	0	4	_a519.2 _223
100	1		_aBreuer, L. _eauthor.
245	1	3	_aAn Introduction to Queueing Theory and Matrix-Analytic Methods _h[electronic resource] / _cby L. Breuer, D. Baum.
264		1	_aDordrecht : _bSpringer Netherlands, _c2005.
300			_aXIV, 271 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aQueues: The Art of Modelling -- Markov Chains and Queues in Discrete Time -- Homogeneous Markov Processes on Discrete State Spaces -- Markovian Queues in Continuous Time -- Markovian Queueing Networks -- Renewal Theory -- Markov Renewal Theory -- Semi-Markovian Queues -- Phase-Type Distributions -- Markovian Arrival Processes -- The GI/PH/1 Queue -- The BMAP/G/1 Queue -- Discrete Time Approaches -- Spatial Markovian Arrival Processes.
520			_aThe textbook contains the records of a two-semester course on queueing theory, including an introduction to matrix-analytic methods. The course is directed to last year undergraduate and first year graduate students of applied probability and computer science, who have already completed an introduction to probability theory. Its purpose is to present material that is close enough to concrete queueing models and their applications, while providing a sound mathematical foundation for their analysis. A prominent part of the book will be devoted to matrix-analytic methods. This is a collection of approaches which extend the applicability of Markov renewal methods to queueing theory by introducing a finite number of auxiliary states. For the embedded Markov chains this leads to transition matrices in block form resembling the structure of classical models. Matrix-analytic methods have become quite popular in queueing theory during the last twenty years. The intention to include these in a students' introduction to queueing theory has been the main motivation for the authors to write the present book. Its aim is a presentation of the most important matrix-analytic concepts like phase-type distributions, Markovian arrival processes, the GI/PH/1 and BMAP/G/1 queues as well as QBDs and discrete time approaches.
650		0	_aMATHEMATICS.
650		0	_aCOMPUTER COMMUNICATION NETWORKS.
650		0	_aCOMPUTER SYSTEM PERFORMANCE.
650		0	_aCOMPUTER SCIENCE.
650		0	_aDISTRIBUTION (PROBABILITY THEORY).
650	1	4	_aMATHEMATICS.
650	2	4	_aPROBABILITY THEORY AND STOCHASTIC PROCESSES.
650	2	4	_aCOMPUTER COMMUNICATION NETWORKS.
650	2	4	_aSYSTEM PERFORMANCE AND EVALUATION.
650	2	4	_aPROBABILITY AND STATISTICS IN COMPUTER SCIENCE.
650	2	4	_aMATHEMATICAL MODELING AND INDUSTRIAL MATHEMATICS.
700	1		_aBaum, D. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781402036309
856	4	0	_uhttp://dx.doi.org/10.1007/1-4020-3631-0 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SMA
942			_2ddc _cER
999			_c60532 _d60532