Thomas G. Robertazzi
Description
Statistical performance evaluation has assumed an increasing amount of importance as we seek to design more and more sophisticated communication and i
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nformation processing systems. The ability to predict a proposed system's per formance before one constructs it is an extremely cost effective design tool. This book is meant to be a first-year graduate level introduction to the field of statistical performance evaluation. It is intended for people who work with sta tistical performance evaluation including engineers, computer scientists and applied mathematicians. As such, it covers continuous time queueing theory (chapters 1-4), stochastic Petri networks (chapter 5), discrete time queueing theory (chapter 6) and recent network traffic modeling work (chapter 7). There is a short appendix at the end of the book that reviews basic probability theory. This material can be taught as a complete semester long course in performance evalua tion or queueing theory. Alternatively, one may teach only chapters 2 and 6 in the first half of an introductory computer networking course, as is done at Stony Brook. The second half of the course could use a more protocol oriented text such as ones by Saadawi [SAAD] or Stallings [STALl What is new in the third edition of this book? In addition to the well received material of the second edition, this edition has three major new features.
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Genres
Science & Technology
Tags
Mathematics
Probability & Statistics
Stochastic Processes
Reading Moods
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Contributors
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Publishing Info
Publisher
Springer Science & Business Media
Month-Year
Jun, 2000
ISBN
ISBN-13: 9780387950372
ISBN-10: 0387950370
Language
English
No. of Pages
409
Format
Hardcover
Awards & Recognition
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