Java Performance and Scalability: A Quantitative Approach
Henry H. Liu
- 出版商: CreateSpace Independ
- 出版日期: 2013-02-02
- 售價: $1,660
- 貴賓價: 9.5 折 $1,577
- 語言: 英文
- 頁數: 325
- 裝訂: Paperback
- ISBN: 1482348012
- ISBN-13: 9781482348019
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相關分類:
Java 程式語言、JVM 語言
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商品描述
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.
