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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 FREE CHAPTER
2. Chapter 1: Concurrency, Parallelism, and the Cloud: Navigating the Cloud-Native Landscape 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

Introduction to Java’s Concurrency Foundations: Threads, Processes, and Beyond

Welcome to Chapter 2, where we embark on a culinary-inspired exploration of Java’s concurrency model, likening it to a bustling kitchen. In this dynamic environment, threads are akin to nimble sous chefs, each skillfully managing their specific tasks with speed and precision. They work in unison, seamlessly sharing the kitchen space and resources. Imagine each thread whisking through their assigned recipes, contributing to the overall culinary process in a synchronized dance.

On the other hand, processes are comparable to larger, independent kitchens, each equipped with their unique menus and resources. These processes operate autonomously, handling complex tasks in their self-contained domains without the interference of neighboring kitchens.

In this chapter, we delve into the nuances of these two essential components of Java’s concurrency. We’ll explore the life cycle...

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