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Java 9 High Performance

You're reading from   Java 9 High Performance Practical techniques and best practices for optimizing Java applications through concurrency, reactive programming, and more

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781787120785
Length 398 pages
Edition 1st Edition
Languages
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Authors (2):
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Nick Samoylov Nick Samoylov
Author Profile Icon Nick Samoylov
Nick Samoylov
Mayur Ramgir Mayur Ramgir
Author Profile Icon Mayur Ramgir
Mayur Ramgir
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Toc

Table of Contents (11) Chapters Close

1. Learning Java 9 Underlying Performance Improvements FREE CHAPTER 2. Identifying Performance Bottlenecks 3. Learning How to Troubleshoot Code 4. Learning How to Use Profiling Tools 5. Understanding Garbage Collection and Making Use of It 6. Optimizing Code with Microbenchmarking 7. Speeding Up JSON Generation 8. Tools for Higher Productivity and Faster Application 9. Multithreading and Reactive Programming 10. Microservices 11. Making Use of New APIs to Improve Your Code

Multithreading and Reactive Programming

In the previous chapter, we have described the Ahead-of-Time compiler of JDK 9 as one of the tools that can help to improve the performance of a Java application. In this chapter, we will look at another approach to support a high performance of an application by programmatically splitting the task between several workers. That was how the pyramids were built 4,500 years ago, and this method has not failed to deliver since then. But there is a limitation on how many laborers can be brought to work on the same project. The shared resources provide a ceiling to how much the workforce can be increased, whether the resources are counted in square feet and gallons (as the living quarters and water in the time of the pyramids) or in gigabytes and gigahertz (as the memory and processing power of a computer).

Allocation, usage, and limitations of...

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