Master the principles to make applications robust, scalable and responsive
Key Features:
- Implement concurrent applications using the Java 9 Concurrency API and its new components
- Improve the performance of your applications and process more data at the same time, taking advantage of all of your resources
- Construct real-world examples related to machine learning, data mining, natural language processing, and more
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. Java 9 includes a comprehensive API with lots of ready-to-use components for easily implementing powerful concurrency applications, but with high flexibility so you can adapt these components to your needs.
The book starts with a full description of the design principles of concurrent applications and explains how to parallelize a sequential algorithm. You will then be introduced to Threads and Runnables, which are an integral part of Java 9's concurrency API. You will see how to use all the components of the Java concurrency API, from the basics to the most advanced techniques, and will implement them in powerful real-world concurrency applications.
The book ends with a detailed description of the tools and techniques you can use to test a concurrent Java application, along with a brief insight into other concurrency mechanisms in JVM.
What You Will Learn:
- Master the principles that every concurrent application must follow
- See how to parallelize a sequential algorithm to obtain better performance without data inconsistencies and deadlocks
- Get the most from the Java Concurrency API components
- Separate the thread management from the rest of the application with the Executor component
- Execute phased-based tasks in an efficient way with the Phaser components
- Solve problems using a parallelized version of the divide and conquer paradigm with the Fork / Join framework
- Find out how to use parallel Streams and Reactive Streams
- Implement the "map and reduce" and "map and collect" programming models
- Control the concurrent data structures and synchronization mechanisms provided by the Java Concurrency API
- Implement efficient solutions for some actual problems such as data mining, machine learning, and more
Who this book is for:
This book is for competent Java developers who have basic understanding of concurrency, but knowledge of effective implementation of concurrent programs or usage of streams for making processes more efficient is not required
Javier Fernandez 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, has taught over 1000 hours of training in basic Java, J2EE and Struts framework. As a researcher, has worked in the field of information retrieval developing applications for processing large amounts of data in Java and has participated as co-author on several journal articles and conference presentations. In recent years, has worked on developing J2EE web applications for various clients from different sectors (public administration, insurance, healthcare, transportation, ...). Currently he works as a software architect at Capgemini developing and maintaining applications for an insurance company. He is the author of the book Java 7 Concurrency Cookbook.
