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Java Concurrency and Parallelism

You're reading from   Java Concurrency and Parallelism Master advanced Java techniques for cloud-based applications through concurrency and parallelism

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781805129264
Length 496 pages
Edition 1st Edition
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Author (1):
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Jay Wang Jay Wang
Author Profile Icon Jay Wang
Jay Wang
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Table of Contents (20) Chapters Close

Preface 1. Part 1: Foundations of Java Concurrency and Parallelism in Cloud Computing
2. Chapter 1: Concurrency, Parallelism, and the Cloud: Navigating the Cloud-Native Landscape FREE CHAPTER 3. Chapter 2: Introduction to Java’s Concurrency Foundations: Threads, Processes, and Beyond 4. Chapter 3: Mastering Parallelism in Java 5. Chapter 4: Java Concurrency Utilities and Testing in the Cloud Era 6. Chapter 5: Mastering Concurrency Patterns in Cloud Computing 7. Part 2: Java's Concurrency in Specialized Domains
8. Chapter 6: Java and Big Data – a Collaborative Odyssey 9. Chapter 7: Concurrency in Java for Machine Learning 10. Chapter 8: Microservices in the Cloud and Java’s Concurrency 11. Chapter 9: Serverless Computing and Java’s Concurrent Capabilities 12. Part 3: Mastering Concurrency in the Cloud – The Final Frontier
13. Chapter 10: Synchronizing Java’s Concurrency with Cloud Auto-Scaling Dynamics 14. Chapter 11: Advanced Java Concurrency Practices in Cloud Computing 15. Chapter 12: The Horizon Ahead 16. Index 17. Other Books You May Enjoy Appendix A: Setting up a Cloud-Native Java Environment 1. Appendix B: Resources and Further Reading

Java’s kitchen of concurrency – unveiling threads and processes

Mastering Java’s concurrency tools, threads and processes, is akin to acquiring the skills of a culinary master. This section equips you with the knowledge to design efficient and responsive Java applications, ensuring your programs run smoothly even when juggling multiple tasks like a Michelin-starred kitchen.

What are threads and processes?

In the realm of Java concurrency, threads are like sous chefs in a kitchen. Each sous chef (thread) is assigned a particular task, working diligently to contribute to the overall meal preparation. Just as sous chefs share a common kitchen space and resources, threads operate in parallel within the same Java process, sharing memory and resources.

Now, picture a large restaurant with separate kitchens for different specialties, such as a pizza oven room, a pastry department, and a main course kitchen. Each of these is a process. Unlike threads that share...

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