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Learning Concurrent Programming in Scala

You're reading from   Learning Concurrent Programming in Scala Dive into the Scala framework with this programming guide, created to help you learn Scala and to build intricate, modern, scalable concurrent applications

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Product type Paperback
Published in Nov 2014
Publisher Packt
ISBN-13 9781783281411
Length 366 pages
Edition 1st Edition
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Author (1):
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Aleksandar Prokopec Aleksandar Prokopec
Author Profile Icon Aleksandar Prokopec
Aleksandar Prokopec
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Table of Contents (11) Chapters Close

Preface 1. Introduction 2. Concurrency on the JVM and the Java Memory Model FREE CHAPTER 3. Traditional Building Blocks of Concurrency 4. Asynchronous Programming with Futures and Promises 5. Data-Parallel Collections 6. Concurrent Programming with Reactive Extensions 7. Software Transactional Memory 8. Actors 9. Concurrency in Practice Index

Chapter 8. Actors

 

"A distributed system is one in which the failure of a computer you didn't even know existed can render your own computer unusable."

 
 --Leslie Lamport

Throughout this book, we have concentrated on many different abstractions for concurrent programming. Most of these abstractions assume the presence of shared memory. Futures and promises, concurrent data structures, and software transactional memory are best suited for shared memory systems. While the shared memory assumption ensures that these facilities are efficient, it also limits them to applications running on a single computer. In this chapter, we consider a programming model that is equally applicable to a shared-memory machine or a distributed system, namely, the actor model. In the actor model, the program is represented by a large number of entities that execute computations independently, and communicate by passing messages. These independent entities are called actors...

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