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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

Questions

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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...
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