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

Product type Paperback

Published in Aug 2024

Publisher Packt

ISBN-13 9781805129264

Length 496 pages

Edition 1st Edition

Languages

Java

Tools

Boost

Concepts

Application Development

Author (1):

Jay Wang

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

Questions

Which of the following is not a key reason for monitoring concurrent operations in cloud environments?
1. Performance optimization
2. Resource management
3. Error detection
4. User interface design
What is the primary advantage of using GPU acceleration in Java applications for cloud computing?
1. Simplified code structure
2. Reduced power consumption
3. Improved performance for parallel tasks
4. Enhanced network security
Which tool is specifically designed for monitoring Java applications and provides detailed insights into JVM performance?
1. AWS CloudWatch
2. VisualVM
3. Google Cloud Monitoring
4. Azure Monitor
In the context of cloud-specific redundancies, what does data replication primarily aim to achieve?
1. Reduce network latency
2. Minimize data loss and improve availability
3. Enhance user interface responsiveness
4. Decrease cloud storage costs
What is a key challenge in monitoring Java concurrency in cloud environments?
1. Limited availability of monitoring tools
2. Excessive simplicity of cloud architectures
3. Difficulty...