Probabilistic modelling is the most cost-effective means of performance and reliability evaluation of complex dynamic systems. This self-contained text will be welcomed by students and teachers for its no-nonsense treatment of the basic results and examples of their application. The only mathematical background that is assumed is basic calculus. The necessary fundamentals of probability theory are included, as well as an introduction to renewal, Poisson and Markov processes. Models arising in the fields of manufacturing, computing and communications, involving single or multiple service stations and one or more customer classes, are examined in some detail. Both exact and approximate solution methods are discussed, including recent techniques such as spectral expansion. Special attention is devoted to models of systems subject to breakdowns and repairs. Throughout the book, strong emphasis is placed on explaining the ideas behind the results and helping the reader to use them, making the book ideal for students in computer science, engineering or operations research taking courses in modern system design.
Rezensionen / Stimmen
'... easily accessible ... attractive to non-mathematicians.' Mitrani
Auflage
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Illustrationen
Worked examples or Exercises; 70 Printed music items; 20 Line drawings, unspecified
Maße
Höhe: 235 mm
Breite: 157 mm
Dicke: 19 mm
Gewicht
ISBN-13
978-0-521-58511-8 (9780521585118)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Autor*in
University of Newcastle upon Tyne
Preface; 1. Introduction to probability theory; 2. Arrivals and services; 3. Queueing systems: average performance; 4. Queueing networks; 5. Markov chains and processes; 6. Queues in Markovian environments; Index.
