Elements Of Practical Performance Modeling


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Elements of Practical Performance Modeling


Elements of Practical Performance Modeling

Author: Edward A. MacNair

language: en

Publisher: Prentice Hall

Release Date: 1985


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Practical Performance Modeling


Practical Performance Modeling

Author: Khalid Begain

language: en

Publisher: Springer Science & Business Media

Release Date: 2001-01-31


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"Practical Performance Modeling: Application of the MOSEL Language provides an easy to understand but nevertheless complete introduction to system modeling using MOSEL and illustrates how easily MOSEL can be used for modeling real-life examples from the fields of computer, communication, and manufacturing systems.".

Probability and Statistics with Reliability, Queuing, and Computer Science Applications


Probability and Statistics with Reliability, Queuing, and Computer Science Applications

Author: Kishor S. Trivedi

language: en

Publisher: John Wiley & Sons

Release Date: 2016-06-30


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An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications Second edition now also available in Paperback. This updated and revised edition of the popular classic first edition relates fundamental concepts in probability and statistics to the computer sciences and engineering. The author uses Markov chains and other statistical tools to illustrate processes in reliability of computer systems and networks, fault tolerance, and performance. This edition features an entirely new section on stochastic Petri nets—as well as new sections on system availability modeling, wireless system modeling, numerical solution techniques for Markov chains, and software reliability modeling, among other subjects. Extensive revisions take new developments in solution techniques and applications into account and bring this work totally up to date. It includes more than 200 worked examples and self-study exercises for each section. Probability and Statistics with Reliability, Queuing and Computer Science Applications, Second Edition offers a comprehensive introduction to probability, stochastic processes, and statistics for students of computer science, electrical and computer engineering, and applied mathematics. Its wealth of practical examples and up-to-date information makes it an excellent resource for practitioners as well. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.