Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Feb 2016
Publisher Packt
ISBN-13 9781785886126
Length 430 pages
Edition 1st Edition
Languages
Concepts
Arrow right icon
Author (1):
Arrow left icon
Javier Fernández González Javier Fernández González
Author Profile Icon Javier Fernández González
Javier Fernández González
Arrow right icon
View More author details
Toc

Table of Contents (13) Chapters Close

Preface 1. The First Step – Concurrency Design Principles 2. Managing Lots of Threads – Executors FREE CHAPTER 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

Summary

In this book, you implemented a lot of real-world examples. Some of these examples can be used as a part of a bigger system. These bigger systems normally have different concurrent parts that must share information and be synchronized between them. To make that synchronization, we can use three mechanisms: the shared memory, when two or more tasks share an object or data structure, asynchronous message passing, when a task sends a message to another task and doesn't wait for its processing, and synchronous message passing, when a task sends a message to another task and waits for its processing.

In this chapter, we implemented an application to cluster documents formed by four subsystems. We used the mechanisms presented earlier to synchronize and share information between those four subsystems.

We also revised some of the examples presented in the book to discuss other alternatives to their implementation.

In the next chapter, you will learn how to obtain debug information of...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image