000 04389nam a22004815i 4500
001 u371888
003 SIRSI
005 20160812080153.0
007 cr nn 008mamaa
008 100728s2010 xxu| s |||| 0|eng d
020 _a9781441973146
_9978-1-4419-7314-6
040 _cMX-MeUAM
050 4 _aQA276-280
082 0 4 _a005.55
_223
100 1 _aAlfa, Attahiru Sule.
_eauthor.
245 1 0 _aQueueing Theory for Telecommunications
_h[recurso electrónico] :
_bDiscrete Time Modelling of a Single Node System /
_cby Attahiru Sule Alfa.
264 1 _aBoston, MA :
_bSpringer US,
_c2010.
300 _aXIV, 238 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
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.
650 0 _aComputer science.
650 0 _aComputer Communication Networks.
650 0 _aComputer system performance.
650 0 _aComputer simulation.
650 1 4 _aComputer Science.
650 2 4 _aProbability and Statistics in Computer Science.
650 2 4 _aSystem Performance and Evaluation.
650 2 4 _aModels and Principles.
650 2 4 _aMath Applications in Computer Science.
650 2 4 _aComputer Communication Networks.
650 2 4 _aSimulation and Modeling.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781441973139
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-1-4419-7314-6
596 _a19
942 _cLIBRO_ELEC
999 _c199768
_d199768