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Probability, stochastic processes, and queueing theory : the mathematics of computer performance modelling /

This textbook provides a comprehensive introduction to probability and stochastic processes, and shows how these subjects may be applied in computer performance modeling. The author's aim is to derive probability theory in a way that highlights the complementary nature of its formal, intuitive,...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Nelson, Randolph
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Springer-Verlag, [1995]
Temas:
Acceso en línea:Texto completo
Descripción
Sumario:This textbook provides a comprehensive introduction to probability and stochastic processes, and shows how these subjects may be applied in computer performance modeling. The author's aim is to derive probability theory in a way that highlights the complementary nature of its formal, intuitive, and applicative aspects while illustrating how the theory is applied in a variety of settings.
Readers are assumed to be familiar with elementary linear algebra and calculus, including being conversant with limits, but otherwise, this book provides a self-contained approach suitable for graduate or advanced undergraduate students. The first half of the book covers the basic concepts of probability, including combinatorics, expectation, random variables, and fundamental theorems. In the second half of the book, the reader is introduced to stochastic processes. Subjects covered include renewal processes, queueing theory, Markov processes, matrix geometric techniques, reversibility, and networks of queues. Examples and applications are drawn from problems in computer performance modeling. Throughout, large numbers of exercises of varying degrees of difficulty will help to secure a reader's understanding of these important and fascinating subjects.
Descripción Física:1 online resource (xxviii, 583 pages) : illustrations
Bibliografía:Includes bibliographical references (pages 553]-566) and indexes.
ISBN:9781475724264
1475724268
9781441928467
1441928464