Features
- Cover Type: Hard Cover with 436 pages
- Published by: Springer
- Edition: 1st Edition June 28, 2005
- Written in: English
- ISBN 10 Number: 3540208658
- ISBN 13 Number: 978-3540208655
-
Book Dimensions:
9.4 x 6.4 x 1.2 inches
- Weighs: 1.8 pounds
Product Review
From the reviews:
"The literature of computer performance analysis is generally composed of two groups: heavy theoretical treatises and performance cookbooks. Surprisingly, this book is exceptionally well balanced between theory and practice . I strongly recommend this book, both for the novice practitioner and for the experienced performance analyst. Both can extract a vast array of benefits, ranging from understanding the theoretical concepts of performance modeling, to building for themselves a powerful modeling tool ." (Jair Merlo, Computing Reviews, May, 2005)
Product Description
Analyzing computer system performance is often regarded by most system administrators, IT professionals and
software engineers as a black art that is too time consuming to learn and apply. Finally, this book by acclaimed performance analyst Dr. Neil Gunther makes this subject understandable and applicable through programmatic examples. The means to this end is the open-source performance analyzer Pretty Damn Quick (PDQ) written in Perl and available for download from the authors Website: www.perfdynamics.com.
As the epigraph in this book points out, Common sense is the pitfall of performance analysis. The performance analysis framework that replaces common sense is revealed in the first few chapters of Part I. The important queueing concepts embedded in PDQ are explained in a very simple style that does not require any knowledge of formal
probability theory. Part II begins with a full specification of how to set up and use PDQ replete with examples written in Perl. Subsequent chapters present applications of PDQ to the performance analysis of multicomputer architectures, benchmark results, client/server scalability, and Web-based applications. The examples are not mere academic toys but are based on the author's experience analyzing the performance of large-scale systems over the past twenty years. By following his lead, you will quickly be able to set up your own Perl scripts for collecting data and exploring performance-by-design alternatives without inflating your managers schedule.
Reader Reviewsdr. gunther has written a gem of a performance analysis book. for starter, the unix load average is a wonderful detective story. i especially liked chapter 5 with real performance analysis experiences applying queueing theory discussed in both chapter 2 and 3. the best part is dr. gunther's exposition of queueing theory into the essence for the working performance analysts. in addition, appendix B on buffers and appendix C on memoryless property are the most lucid explanation i have read. i would also heartily recommend dr. gunther's other book, the practical performance analyst.
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