An Introduction to Queueing Theory and Matrix-Analytic Methods

The present textbook contains the recordsof a two–semester course on que- ing theory, including an introduction to matrix–analytic methods. This course comprises four hours oflectures and two hours of exercises per week andhas been taughtattheUniversity of Trier, Germany, for about ten years in - qu...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Breuer, L. (Συγγραφέας), Baum, D. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Dordrecht : Springer Netherlands, 2005.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03849nam a22005655i 4500
001 978-1-4020-3631-6
003 DE-He213
005 20151204182139.0
007 cr nn 008mamaa
008 100301s2005 ne | s |||| 0|eng d
020 |a 9781402036316  |9 978-1-4020-3631-6 
024 7 |a 10.1007/1-4020-3631-0  |2 doi 
040 |d GrThAP 
050 4 |a QA273.A1-274.9 
050 4 |a QA274-274.9 
072 7 |a PBT  |2 bicssc 
072 7 |a PBWL  |2 bicssc 
072 7 |a MAT029000  |2 bisacsh 
082 0 4 |a 519.2  |2 23 
100 1 |a Breuer, L.  |e author. 
245 1 3 |a An Introduction to Queueing Theory and Matrix-Analytic Methods  |h [electronic resource] /  |c by L. Breuer, D. Baum. 
264 1 |a Dordrecht :  |b Springer Netherlands,  |c 2005. 
300 |a XIV, 272 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Queues: 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 |a The present textbook contains the recordsof a two–semester course on que- ing theory, including an introduction to matrix–analytic methods. This course comprises four hours oflectures and two hours of exercises per week andhas been taughtattheUniversity of Trier, Germany, for about ten years in - quence. The course is directed to last year undergraduate and?rst year gr- uate students of applied probability and computer science, who have already completed an introduction to probability theory. Its purpose is to present - terial that is close enough to concrete queueing models and their applications, while providing a sound mathematical foundation for the analysis of these. Thus the goal of the present book is two–fold. On the one hand, students who are mainly interested in applications easily feel bored by elaborate mathematical questions in the theory of stochastic processes. The presentation of the mathematical foundations in our courses is chosen to cover only the necessary results, which are needed for a solid foundation of the methods of queueing analysis. Further, students oriented - wards applications expect to have a justi?cation for their mathematical efforts in terms of immediate use in queueing analysis. This is the main reason why we have decided to introduce new mathematical concepts only when they will be used in the immediate sequel. On the other hand, students of applied probability do not want any heur- tic derivations just for the sake of yielding fast results for the model at hand. 
650 0 |a Mathematics. 
650 0 |a Computer communication systems. 
650 0 |a Computer system failures. 
650 0 |a Computers. 
650 0 |a Mathematical statistics. 
650 0 |a Mathematical models. 
650 0 |a Probabilities. 
650 1 4 |a Mathematics. 
650 2 4 |a Probability Theory and Stochastic Processes. 
650 2 4 |a Computer Communication Networks. 
650 2 4 |a Theory of Computation. 
650 2 4 |a System Performance and Evaluation. 
650 2 4 |a Probability and Statistics in Computer Science. 
650 2 4 |a Mathematical Modeling and Industrial Mathematics. 
700 1 |a Baum, D.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781402036309 
856 4 0 |u http://dx.doi.org/10.1007/1-4020-3631-0  |z Full Text via HEAL-Link 
912 |a ZDB-2-SMA 
950 |a Mathematics and Statistics (Springer-11649)