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Mastering Concurrency Programming with Java 8

You're reading from   Mastering Concurrency Programming with Java 8 Master the principles and techniques of multithreaded programming with the Java 8 Concurrency API

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Product type Paperback
Published in Feb 2016
Publisher Packt
ISBN-13 9781785886126
Length 430 pages
Edition 1st Edition
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Author (1):
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Javier Fernández González Javier Fernández González
Author Profile Icon Javier Fernández González
Javier Fernández González
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Table of Contents (13) Chapters Close

Preface 1. The First Step – Concurrency Design Principles FREE CHAPTER 2. Managing Lots of Threads – Executors 3. Getting the Maximum from Executors 4. Getting Data from the Tasks – The Callable and Future Interfaces 5. Running Tasks Divided into Phases – The Phaser Class 6. Optimizing Divide and Conquer Solutions – The Fork/Join Framework 7. Processing Massive Datasets with Parallel Streams – The Map and Reduce Model 8. Processing Massive Datasets with Parallel Streams – The Map and Collect Model 9. Diving into Concurrent Data Structures and Synchronization Utilities 10. Integration of Fragments and Implementation of Alternatives 11. Testing and Monitoring Concurrent Applications Index

Preface

Nowadays, computer systems (and other related systems, such as tablets or smartphones) allow you to do several tasks simultaneously. This can be possible because they have concurrent operating systems that control several tasks at the same time. You can also have one application that executes several tasks (read a file, show a message, or read data over a network) if you work with the concurrency API of your favorite programming language. Java includes a very powerful concurrency API that allows you to implement any kind of concurrency application with little effort. This API increases the features provided to programmers in every version. Now, in Java 8, it has included the stream API and new methods and classes to facilitate the implementation of concurrent applications. This book covers the most important elements of the Java concurrency API, showing you how to use them in real-world applications. These elements are as follows:

  • The executor framework, to control the execution of lots of task
  • The Phaser class, to execute tasks that can be divided into phases
  • The Fork/Join framework, to execute the tasks that solve a problem using the divide and conquer technique
  • The stream API, to process big sources of data
  • Concurrent data structures, to store the data in concurrent applications
  • Synchronization mechanisms, to organize concurrent tasks

However, it includes much more: a methodology to design concurrency applications, design patterns, tips and tricks to implement good concurrency applications, and tools and techniques to test concurrency applications.

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