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Java Performance and Scalability: A Quantitative Approach By Henry H. Liu
Free PDF Java Performance and Scalability: A Quantitative Approach By Henry H. Liu
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- Sales Rank: #1469238 in Books
- Published on: 2013-02-02
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .79" w x 7.50" l, 1.35 pounds
- Binding: Paperback
- 350 pages
From the Author
Update on Oct 1, 2015:
(1) Added Appendix E Linux System and Performance Utilities. This 2.5 page appendix summarizes most relevant system utilities and performance diagnosing/monitoring utilities so that you can quickly nail down any performance issue on a Linux system. It's also very useful to demonstrate your hands-on experience for a performance engineer job during an on-site interview, as it helps you learn how to precisely assess the overall system load, CPU or IO bottlenecks or hot processes.
(2) Added Appendix F The Harp Utility for Optimizing UI Performance. About two years ago, the author developed this tool named Harp that has turned out to be extremely helpful for optimizing Web UI performance. The tool is now shared with many very successful use cases and best practices. No matter what your role is, you can use this tool to put yourself on the driver's position immediately when you work on a Web-based application for which performance is important. You can learn how to use this tool in about 20 minutes, and the benefits would be tremendous.
Update on Nov 2, 2013:
The book has been updated recently (Nov 2, 2013) with a real-product based case study showing CPU frequency scaling benefits and side effects with Intel's Turbo Boost Technology on Linux and Windows. If you purchased this book prior to Nov 2, 2013 and are interested in this case study, please send the author an email using his email address included in the book.
About the Author
HENRY H. LIU, PHD, is a Software Engineer specializing in developing distributed, high performing, scalable enterprise software products. He is a certified Sun Enterprise Java Architect, IBM XML Developer, and Microsoft .Net Developer. Prior to becoming a software engineer, he had a physicist career and published over 30 research papers in physics while working in the national labs of China, France, Germany, and the United States. His honors include being the author of the highly acclaimed Software Performance and Scalability: A Quantitative Approach (Wiley, 2009), an Alexander von Humboldt Research Fellow in Germany, and a CMG 2004 Best Paper Award recipient for applying queuing theory to analyzing software performance. He is particularly encouraged that over 600 universities/colleges world-wide have used his works in teaching software technologies to CS students.
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