Java Performance and Scalability: A Quantitative Approach

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9781478289128: Java Performance and Scalability: A Quantitative Approach

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.
In addition, the book contains interesting data for your reference, associated with oops compression, CMS garbage collection tuning, DoEscapeAnalysis, G1 versus CMS comparison, etc., all based on full scale, rigorous performance and scalability tests with real products.

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About the Author:

HENRY H. LIU, PHD, is a Software Developer specializing in developing distributed, high performing, scalable enterprise software products using Java technologies. 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. Dr. Liu enjoys writing to help software developers learn new, usable skills fast.

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