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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

Modern challenges in cloud-native concurrency and Java’s weapons of choice

The cloud’s concurrency challenges loom, but Java’s not backing down. We’ll tackle these challenges in transactions, data consistency, and microservices states, all while wielding tools such as Akka, Vert.x, and reactive programming. Choose your weapons wisely, for the cloud-native concurrency challenge is yours to conquer!

Wrangling distributed transactions in Java – beyond classic commits

In the wild jungle of distributed systems, managing transactions across services and databases can be a daunting task. Traditional methods stumble over network delays, partial failures, and diverse systems. But fear not, Java warriors! We’ve got your back with a robust arsenal of solutions:

  • Two-phase commit (2PC): This classic protocol ensures all parties in a transaction commit or roll back together. While not ideal for high-speed environments due to its blocking nature...
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