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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 FREE CHAPTER 2. Concurrency on the JVM and the Java Memory Model 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

Exercises


The following exercises test your understanding of the actor programming model, and distributed programming in general. First few exercises are straightforward, and deal with the basics of the actor API in Akka. Subsequent exercises are more involved, and go deeper into the territory of fault-tolerant distributed programming. Try to solve these exercises by first assuming that no machines fail, and then consider what happens if some of the machines fail during the execution of the program.

  1. Implement the timer actor with the TimerActor class. After receiving a Register message containing the t timeout in milliseconds, the timer actor sends a Timeout message back after t milliseconds. The timer must accept multiple Register messages.

  2. Recall the bank account example from Chapter 2, Concurrency on the JVM and the Java Memory Model. Implement different bank accounts as separate actors, represented with the AccountActor class. When an AccountActor class receives a Send message, it must...

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