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The Art of Computer Systems Performance Analysis: Techniques for Experimental Design, Measurement, Simulation, and Modeling, by Raj Jain
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The Art of Computer Systems Performance Analysis "At last, a welcome and needed text for computer professionals who require practical, ready-to-apply techniques for performance analysis. Highly recommended!" -Dr. Leonard Kleinrock University of California, Los Angeles "An entirely refreshing text which has just the right mixture of theory and real world practice. The book is ideal for both classroom instruction and self-study." -Dr. Raymond L. Pickholtz President, IEEE Communications Society "An extraordinarily comprehensive treatment of both theoretical and practical issues." -Dr. Jeffrey P. Buzen Internationally recognized performance analysis expert ". it is the most thorough book available to date" -Dr. Erol Gelenbe Université René Descartes, Paris ". an extraordinary book.. A worthy addition to the bookshelf of any practicing computer or communications engineer" -Dr. Vinton G. Cer??? Chairman, ACM SIGCOMM "This is an unusual object, a textbook that one wants to sit down and peruse. The prose is clear and fluent, but more important, it is witty." -Allison Mankin The Mitre Washington Networking Center Newsletter
- Sales Rank: #189954 in Books
- Published on: 1991-04
- Original language: English
- Number of items: 1
- Dimensions: 9.58" h x 1.52" w x 6.30" l, 2.47 pounds
- Binding: Hardcover
- 685 pages
- Ships from CA, United States
Most helpful customer reviews
11 of 12 people found the following review helpful.
Excellent - just buy it
By A Customer
I found this book by accident looking for some statistics help for a benchmarking project. It turned out to be worth its weight in gold as it is very clear, comphrehensive, and readable.
He outlines and elaborates a methodical, straightforward approach to performance analysis and provides excellent sections on what to do, not do, and how to validate or refute the analyses of others.
Extensive examples with solutions and enough equations to let you easily implement the analysis portions in code (or a spreadsheet if need be).
If you are doing any kind of performance analysis, whether it is for computer systems or not, you should get a copy.
The only reason I didnt give it 5 stars is a very small number of the example answers have typos or rounding errors. Be sure to get the errata list from the website.
5 of 5 people found the following review helpful.
This is the most impressive book on performance that I own.
By A Customer
This book is the most impressive performance assessment, modeling and simulation text I have read. It is a perfect balance of systems analysis and the necessary mathematical foundations that are extremely important to fully understand the disciplines Jain covers in this text. I have used this book numerous times for capacity planning projects, simulation studies, statistical analysis and for a guide in delivering presentations and writing papers.
18 of 19 people found the following review helpful.
Lays the foundation
By Mike Tarrani
This seminal book was the most complete mainstream text on the subject when it was first published in 1991. The reason it remains popular eleven years later (which is an extraordinary life for a computer book) is because it's an applied mathematics book that focuses solely on performance analysis, simulation and measurements. Technology may change at a rapid pace, but the techniques for measuring it do not.
The book is broken into six parts consisting of 36 chapters and ten appendices. Part I is an overview of performance evaluation. I liked the chapter on common mistakes and how to avoid them, and the guidelines for selecting techniques and metrics.
Measurement techniques and tools are the focus of Part II. the eight chapters in this part address the full spectrum, including workload types, characterization techniques, capacity planning and benchmarking, and data presentation. Most of the chapters are generic enough to be timeless. The chapters covering execution monitors and accounting logs are showing their age, but the concepts are still valid. I especially liked the chapters about data presentation and ratios.
Part III is a refresher in statistics and probability, and can safely be skipped if your knowledge and skills are fresh. Part IV delves into experimental design and analysis, while Part V covers simulations. The remaining six chapters of the book, Part VI, are devoted to queuing models.
Note that although the math is clearly explained you need college level skills in order to fully comprehend the techniques presented. I recommend investing in MathCAD or a similar program to make it easy to work the exercises that end each chapter.
This book is one of the handful that will be on your bookshelf for years to come. It's probably one of the most frequently referenced works in the performance analysis, resource management and capacity planning knowledge domains. Because it has well designed exercises at the end of each chapter it's also well suited as an advanced college level text. In my opinion it's essential reading for performance and capacity analysts, and provides an excellent foundation for more specialized books, such as those by Menasce and Almeida, that address topics such as e-commerce performance, web services, etc.
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