Java Concurrency in Practice

Front Cover
Pearson Education, May 9, 2006 - Computers - 432 pages

Threads are a fundamental part of the Java platform. As multicore processors become the norm, using concurrency effectively becomes essential for building high-performance applications. Java SE 5 and 6 are a huge step forward for the development of concurrent applications, with improvements to the Java Virtual Machine to support high-performance, highly scalable concurrent classes and a rich set of new concurrency building blocks. In Java Concurrency in Practice, the creators of these new facilities explain not only how they work and how to use them, but also the motivation and design patterns behind them.

However, developing, testing, and debugging multithreaded programs can still be very difficult; it is all too easy to create concurrent programs that appear to work, but fail when it matters most: in production, under heavy load. Java Concurrency in Practice arms readers with both the theoretical underpinnings and concrete techniques for building reliable, scalable, maintainable concurrent applications. Rather than simply offering an inventory of concurrency APIs and mechanisms, it provides design rules, patterns, and mental models that make it easier to build concurrent programs that are both correct and performant.

This book covers:

  • Basic concepts of concurrency and thread safety
  • Techniques for building and composing thread-safe classes
  • Using the concurrency building blocks in java.util.concurrent
  • Performance optimization dos and don'ts
  • Testing concurrent programs
  • Advanced topics such as atomic variables, nonblocking algorithms, and the Java Memory Model


 

Contents

1 Introduction
1
Fundamentals
13
Structuring Concurrent Applications
111
Liveness Performance and Testing
203
Advanced Topics
275
Annotations for Concurrency
353
Bibliography
355
Index
359
Copyright

Other editions - View all

Java Concurrency in Practice
Goetz
No preview available - 2006

Common terms and phrases

acquire algorithms application atomic operation atomic variables BigInteger boolean cache caller cancellation Chapter code path collection computation concurrent programs ConcurrentHashMap condition predicate condition queue constructor consumer contention context switches create deadlock encapsulation ensure event thread execution Executor ExecutorService framework FutureTask guarantees guarded GuardedBy("this happens-before immutable objects implementation initialization interface interrupted status intrinsic lock iteration Java Java Memory Model JDBC latch lazy initialization lock acquisition Memoizer method modify multiple threads mutable mutable objects node nonblocking notification notifyAll null operations performance private final processors public static public synchronized void public void run race conditions ReentrantLock release request requires resource result Runnable scalability Semaphore sequential server servlet shared shown in Listing shutdown single-threaded synchronization policy synchronized block technique thread confinement thread pool thread safety thread-safe thread-safe classes ThreadLocal ThreadPoolExecutor ThreadSafe public class throughput throws InterruptedException update volatile variables wait worker threads

About the author (2006)

Brian Goetz is a software consultant with twenty years industry experience, with over 75 articles on Java development. He is one of the primary members of the Java Community Process JSR 166 Expert Group (Concurrency Utilities), and has served on numerous other JCP Expert Groups.

Tim Peierls is the very model of a modern multiprocessor, with BoxPop.biz, recording arts, and goings on theatrical. He is one of the primary members of the Java Community Process JSR 166 Expert Group (Concurrency Utilities), and has served on numerous other JCP Expert Groups.

Joshua Bloch is a principal engineer at Google and a Jolt Award-winner. He was previously a distinguished engineer at Sun Microsystems and a senior systems designer at Transarc. Josh led the design and implementation of numerous Java platform features, including JDK 5.0 language enhancements and the award-winning Java Collections Framework. He holds a Ph.D. in computer science from Carnegie Mellon University.

Joseph Bowbeer is a software architect at Vizrea Corporation where he specializes in mobile application development for the Java ME platform, but his fascination with concurrent programming began in his days at Apollo Computer. He served on the JCP Expert Group for JSR-166 (Concurrency Utilities).

David Holmes is director of DLTeCH Pty Ltd, located in Brisbane, Australia. He specializes in synchronization and concurrency and was a member of the JSR-166 expert group that developed the new concurrency utilities. He is also a contributor to the update of the Real-Time Specification for Java, and has spent the past few years working on an implementation of that specification.

Doug Lea is one of the foremost experts on object-oriented technology and software reuse. He has been doing collaborative research with Sun Labs for more than five years. Lea is Professor of Computer Science at SUNY Oswego, Co-director of the Software Engineering Lab at the New York Center for Advanced Technology in Computer Applications, and Adjunct Professor of Electrical and Computer Engineering at Syracuse University. In addition, he co-authored the book, Object-Oriented System Development (Addison-Wesley, 1993). He received his B.A., M.A., and Ph.D. from the University of New Hampshire.



Bibliographic information

TitleJava Concurrency in Practice
AuthorsTim Peierls, Brian Goetz, Joshua Bloch, Joseph Bowbeer, Doug Lea, David Holmes
PublisherPearson Education, 2006
ISBN0132702258, 9780132702256
Length432 pages
Subjects ›  › 

Computers / Languages / Java
  
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