New PDF release: Concurrent Programming in Java: Design Principles and

By Doug Lea

ISBN-10: 0201310090

ISBN-13: 9780201310092

During this moment version, you will discover completely up-to-date assurance of the Java(tm) 2 platform and new or accelerated assurance of:* reminiscence version * Cancellation * transportable parallel programming * application periods for concurrency controlThe Java platform presents a large and strong set of APIs, instruments, and applied sciences. considered one of its strongest functions is the integrated help for threads. This makes concurrent programming an enticing but tough alternative for programmers utilizing the Java programming language.This publication indicates readers how one can use the Java platform's threading version extra accurately by way of supporting them to appreciate the styles and tradeoffs linked to concurrent programming.You will the way to start up, keep watch over, and coordinate concurrent actions utilizing the category java.lang.Thread, the keyword phrases synchronized and unstable, and the equipment wait, notify, and notifyAll. additionally, you can find targeted insurance of all features of concurrent programming, together with such themes as confinement and synchronization, deadlocks and conflicts, state-dependent motion regulate, asynchronous message passing and keep watch over circulation, coordinated interplay, and structuring web-based and computational services.The e-book ambitions intermediate to complex programmers drawn to getting to know the complexities of concurrent programming. Taking a layout development procedure, the e-book bargains typical layout thoughts for developing and imposing parts that remedy universal concurrent programming demanding situations. the varied code examples all through aid make clear the subtleties of the concurrent programming options mentioned.

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Extra info for Concurrent Programming in Java: Design Principles and Pattern

Example text

The rate at which latency or throughput improves when resources (again, usually CPUs, memory, or devices) are added to a system. Related measures include utilization — the percentage of available resources that are applied to a task of interest. Degradation. The rate at which latency or throughput worsens as more clients, activities, or operations are added without adding resources. Most multithreaded designs implicitly accept a small trade-off of poorer computational efficiency to obtain better latency and scalability.

Also, methods that frequently block waiting for locks (or for any other reason) proceed more slowly than those that do not. Monitors. join) can be more expensive than other basic JVM run-time support operations. Threads. Creating and starting a Thread is typically more expensive than creating an ordinary object and invoking a method on it. Context-switching. The mapping of threads to CPUs encounters context-switch overhead when a JVM/OS saves the CPU state associated with one thread, selects another thread to run, and loads the associated CPU state.

The time elapsed between issuing a message (via for example a mouse click, method invocation, or incoming socket connection) and servicing it. In contexts where operations are uniform, single-threaded, and "continuously" requested, latency is just the inverse of throughput. But more typically, the latencies of interest reflect response times — the delays until something happens, not necessarily full completion of a method or service. Capacity. The number of simultaneous activities that can be supported for a given target minimum throughput or maximum latency.

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Concurrent Programming in Java: Design Principles and Pattern by Doug Lea

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