Monday, December 29, 2014

[W611.Ebook] Download Ebook Java Performance and Scalability: A Quantitative Approach, by Henry H. Liu

Download Ebook Java Performance and Scalability: A Quantitative Approach, by Henry H. Liu

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Java Performance and Scalability: A Quantitative Approach, by Henry H. Liu

Java Performance and Scalability: A Quantitative Approach, by Henry H. Liu



Java Performance and Scalability: A Quantitative Approach, by Henry H. Liu

Download Ebook Java Performance and Scalability: A Quantitative Approach, by Henry H. Liu

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Java Performance and Scalability: A Quantitative Approach, by Henry H. Liu

Written in Henry Liu's clear, concise style, Java Performance and Scalability gets right to the point. With clearly explained concepts, most pertinent theories, precise step-by-step procedures, and large volume of illustrative charts and tables with highly reliable data supporting behind, you gain quickly the necessary knowledge and skills for being able to cope with Java application performance and scalability issues without having to resort to more experienced professionals or expensive external consultants. Specifically, it helps you learn the following knowledge and skills that are essential for you to become more effective in contributing to the success of your organization:�

  • What you need to know at minimum about the architecture of modern hardware so that you can make smart decisions on when you should pour your time on your application and when you can just throw in more advanced hardware to get by.�
  • What you need to know about garbage collection theories in general and how they are implemented with widely used Java Virtual Machines like HotSpot JVMs.
  • Precise methodologies, procedures, and programs that you can start to use immediately to help you profile and tune your Java applications.
  • How you can design and build performance and scalability into your product proactively without having to face tough retrofitting decisions or even torrents of customer escalations later on.
  • Optimizing and tuning Java performance and scalability on Linux with comparison between Linux and Windows.
  • CPU frequency scaling benefits and side effects with Intel's Turbo Boost Technology on Linux and Windows.
In addition, the book contains interesting data for your reference, associated with oops compression, CMS garbage collection tuning, DoEscapeAnalysis, G1 versus CMS comparison, Linux versus Windows, etc., all based on full scale, rigorous performance and scalability tests with real products.

  • 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.

Most helpful customer reviews

2 of 2 people found the following review helpful.
It is a great book for Java Performance Enginners and QAers
By Rodrigo Ramos
It is a great book for Java Performance Enginners and QAers. The book organization and explanations make ir a required reading. It is very clear and invite to investigate more about Queue Theory, and so on.

6 of 10 people found the following review helpful.
A very useful book for all levels of Java developers
By Bird
This is a quantitative, rigorous, unique Java performance book, written by a well-recognized software engineer with more than a decade's experience in the field. It starts with an easy-to-understand introduction to queuing theory, and then expands into both the modern hardware architecture and JVM internals to help a reader establish a solid knowledge base to start with for understanding Java performance and scalability.

The second part of the book is about Java performance and scalability in practice. Chapter 5 illustrates how compressing ordinary object pointers (OOPs) helped a real enterprise Java product in terms of saving JVM Eden and Tenured spaces. Chapter 6 presents a quantitative case study of tuning enterprise Java application performance and scalability based on a real product. This case study can be used by an enterprise Java dev team as a template about how to conduct performance and scalability testing, how to analyze bottlenecks, and how to tune all tunable parameters to achieve the best possible performance and scalability for a product. Chapter 7 uses quantitative data to demonstrate the importance of choosing efficient algorithms for building a potentially high performing, scalable enterprise application. It also quantitatively shows the efficacy of a widely applicable performance tuning technique of array processing that no enterprise application should miss.

The last two chapters are about Java performance and scalability on Linux and VMware. The Linux chapter reveals an important fact that performance on Linux is not a giving out of the box and one must know how to tune to get it. The VMware chapter serves not only as a performance-oriented tutorial about how a VM works by virtualizing CPUs and memory, but also as a concrete case study of the rarely closely-examined performance disparity between a VM and a comparable physical system.

Finally, the two benchmarking programs named CPUCheck and DiskCheck programs described in the appendices are handy utilities for quickly benchmarking the raw power of CPUs and disk I/O that critically determine the performance and scalability of an enterprise application. In summary, it's a very useful book for all levels of Java professionals.

See all 2 customer reviews...

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