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Mastering Concurrency Programming with Java 8

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Mastering Concurrency Programming with Java 8

Autor: Javier Fernández González
Broj strana: 430
ISBN broj: 9781785886126
Godina izdanja: 2016.

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What You Will Learn

  • Design concurrent applications by converting a sequential algorithm into a concurrent one
  • Discover how to avoid all the possible problems you can get in concurrent algorithms
  • Use the Executor framework to manage concurrent tasks without creating threads
  • Extend and modify Executors to adapt their behavior to your needs
  • Solve problems using the divide and conquer technique and the Fork/Join framework
  • Process massive data sets with parallel streams and Map/Reduce implementation
  • Control data-race conditions using concurrent data structures and synchronization mechanisms
  • Test and monitor concurrent applications

Book Description

Concurrency programming allows several large tasks to be divided into smaller sub-tasks, which are further processed as individual tasks that run in parallel. All the sub-tasks are combined together once the required results are achieved; they are then merged to get the final output. The whole process is very complex. This process goes from the design of concurrent algorithms to the testing phase where concurrent applications need extra attention. Java includes a comprehensive API with a lot of ready-to-use components to implement powerful concurrency applications in an easy way, but with a high flexibility to adapt these components to your needs.

The book starts with a full description of design principles of concurrent applications and how to parallelize a sequential algorithm. We'll show you how to use all the components of the Java Concurrency API from basics to the most advanced techniques to implement them in powerful concurrency applications in Java.

You will be using real-world examples of complex algorithms related to machine learning, data mining, natural language processing, image processing in client / server environments. Next, you will learn how to use the most important components of the Java 8 Concurrency API: the Executor framework to execute multiple tasks in your applications, the phaser class to implement concurrent tasks divided into phases, and the Fork/Join framework to implement concurrent tasks that can be split into smaller problems (using the divide and conquer technique). Toward the end, we will cover the new inclusions in Java 8 API, the Map and Reduce model, and the Map and Collect model. The book will also teach you about the data structures and synchronization utilities to avoid data-race conditions and other critical problems. Finally, the book ends with a detailed description of the tools and techniques that you can use to test a Java concurrent application.


Javier Fernández González

Javier Fernández González is a software architect with almost 15 years' experience with Java technologies. He has worked as a teacher, researcher, programmer, analyst, writer, and now as an architect in all types of projects related to Java, especially J2EE. As a teacher, he has taught over 1,000 hours of training in basic Java, J2EE, and Struts framework. As a researcher, he has worked in the field of information retrieval, developing applications in order to process large amounts of data in Java and has been a part of several journal articles and conference presentations as a coauthor. In recent years, he has worked on developing J2EE web applications for various clients from different sectors (public administration, insurance, healthcare, transportation, and so on). Currently, he is working as a software architect at Capgemini, which includes developing and maintaining applications for an insurance company. Also, he is the author of the book Java 7 Concurrency Cookbook, Packt Publishing.

Table of Contents

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



• Милош М.
Добра идеја за превођење. На српском језику недостаје литература о напреднијим порграмерским темамм и техникама. Додуше, за литературу о Јави добро би дошао и превод другог тома капиталног дела Кеја Хорстмана и Гарија Корнела.

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