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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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Toc

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

Chapter 2. Managing Lots of Threads – Executors

When you implement a simple concurrent application, you create and execute a thread per concurrent task. This approach can have some important issues. Since Java version 5, the Java concurrency API includes the executor framework to improve the performance of concurrent applications with a lot of concurrent tasks. In this chapter, we will cover the following:

  • An introduction to executors
  • The first example – the k-nearest neighbors algorithm
  • The second example – concurrency in a client/server environment
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