Concurrent

In this second edition, you will find thoroughly updated coverage of the Java(tm) 2 platform and new or expanded coverage of:

* Memory model * Cancellation * Portable parallel programming * Utility classes for concurrency control

The Java platform provides a broad and powerful set of APIs, tools, and technologies. One of its most powerful capabilities is the built-in support for threads. This makes concurrent programming an attractive yet challenging option for programmers using the Java programming language.

This book shows readers how to use the Java platform's threading model more precisely by helping them to understand the patterns and tradeoffs associated with concurrent programming.

You will learn how to initiate, control, and coordinate concurrent activities using the class java.lang.Thread, the keywords synchronized and volatile, and the methods wait, notify, and notifyAll. In addition, you will find detailed coverage of all aspects of concurrent programming, including such topics as confinement and synchronization, deadlocks and conflicts, state-dependent action control, asynchronous message passing and control flow, coordinated interaction, and structuring web-based and computational services.

The book targets intermediate to advanced programmers interested in mastering the complexities of concurrent programming. Taking a design pattern approach, the book offers standard design techniques for creating and implementing components that solve common concurrent programming challenges. The numerous code examples throughout help clarify the subtleties of the concurrent programming concepts discussed.

Concurrent and Distributed Computing in Java addresses fundamental concepts in concurrent computing with Java examples. The book consists of two parts. The first part deals with techniques for programming in shared-memory based systems. The book covers concepts in Java such as threads, synchronized methods, waits, and notify to expose students to basic concepts for multi-threaded programming. It also includes algorithms for mutual exclusion, consensus, atomic objects, and wait-free data structures.

The second part of the book deals with programming in a message-passing system. This part covers resource allocation problems, logical clocks, global property detection, leader election, message ordering, agreement algorithms, checkpointing, and message logging. Primarily a textbook for upper-level undergraduates and graduate students, this thorough treatment will also be of interest to professional programmers.

Concurrency is a powerful technique for developing efficient and lightning- fast software. For instance, concurrency can be used in common applications such as online order processing to speed processing and ensure transaction reliability. However, mastering concurrency is one of the greatest challenges for both new and veteran programmers. Software developers with all levels of experience can refer to Creating Components: Object Oriented, Concurrent, and Distributed Computing in Java to better understand how concurrency works, more effectively deploy it in program components, and reuse these components to improve program design, quality, and performance.This text introduces concurrent and component programming to students, engineers, and programmers who are familiar with Java and procedural and GUI programming. It helps them to understand and apply concurrency in Java component programming, while exploring distributed program implementation, Java threads, objects, interfaces, exceptions, component reuse, and system design and management.By providing the fundamental concepts of object-oriented components and offering templates for distributed program components, this valuable resource reveals how programmers can apply concurrency and components to solve complex problems.

Real-time functionality is essential for developing many consumer, industrial, and systems devices. While the C/C++ programming language is most often used in the creation of real-time software, the Java language, with its simple and familiar object-oriented programming model, offers many advantages over current real-time practices. Concurrent and Real-Time Programming in Java covers the motivations for, and semantics of, the extensions and modifications to the Java programming environment that enable the Java platform (Virtual Machine) to meet the requirements and constraints of real-time development. Key aspects of concurrent and real-time programming and how they are implemented in Java are discussed, such as concurrency, memory management, real-time scheduling, and real-time resource sharing.