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Mastering Concurrency Programming with Java 8

更新時間：2021-07-16 12:55:15

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IfyouareacompetentJavadeveloperwithagoodunderstandingofconcurrencybuthavenoknowledgeofhowtoeffectivelyimplementconcurrentprogramsorusestreamstomakeprocessesmoreefficient,thenthisbookisforyou.

目錄(72章)

倒序

封面
版權信息
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Chapter 1. The First Step – Concurrency Design Principles
Basic concurrency concepts
Possible problems in concurrent applications
A methodology to design concurrent algorithms
Java concurrency API
Concurrency design patterns
The Java memory model
Tips and tricks to design concurrent algorithms
Summary
Chapter 2. Managing Lots of Threads – Executors
An introduction to executors
First example – the k-nearest neighbors algorithm
The second example – concurrency in a client/server environment
Comparing the two solutions
Other methods of interest
Summary
Chapter 3. Getting the Maximum from Executors
Advanced characteristics of executors
The first example – an advanced server application
The second example – executing periodic tasks
Additional information about executors
Summary
Chapter 4. Getting Data from the Tasks – The Callable and Future Interfaces
Introducing the Callable and Future interfaces
First example – a best-matching algorithm for words
The second example – creating an inverted index for a collection of documents
Summary
Chapter 5. Running Tasks Divided into Phases – The Phaser Class
An introduction to the Phaser class
First example – a keyword extraction algorithm
The second example – a genetic algorithm
Summary
Chapter 6. Optimizing Divide and Conquer Solutions – The Fork/Join Framework
An introduction to the Fork/Join framework
The first example – the k-means clustering algorithm
The second example – a data filtering algorithm
The third example – the merge sort algorithm
Other methods of the Fork/Join framework
Summary
Chapter 7. Processing Massive Datasets with Parallel Streams – The Map and Reduce Model
An introduction to streams
The first example – a numerical summarization application
The second example – an information retrieval search tool
Summary
Chapter 8. Processing Massive Datasets with Parallel Streams – The Map and Collect Model
Using streams to collect data
The first example – searching data without an index
The second example – a recommendation system
The third example – common contacts in a social network
Summary
Chapter 9. Diving into Concurrent Data Structures and Synchronization Utilities
Concurrent data structures
Synchronization mechanisms
Summary
Chapter 10. Integration of Fragments and Implementation of Alternatives
Big-block synchronization mechanisms
An example of a document clustering application
Implementation of alternatives with concurrent programming
Summary
Chapter 11. Testing and Monitoring Concurrent Applications
Monitoring concurrency objects
Monitoring concurrency applications
Testing concurrency applications
Summary
Index 更新時間：2021-07-16 12:55:15

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Mastering Concurrency Programming with Java 8