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Java Concurrency and Parallelism
By :

Java Concurrency and Parallelism
By:
Overview of this book
If you’re a software developer, architect, or systems engineer, exploring Java’s concurrency utilities and synchronization in the cloud, this book is an essential resource. Tech visionary Jay Wang, with over three decades of experience transforming industry giants, brings unparalleled expertise to guide you through Java’s concurrency and parallel processing in cloud computing.
This comprehensive book starts by establishing the foundational concepts of concurrency and parallelism, vital for cloud-native development, and gives you a complete overview, highlighting challenges and best practices. Wang expertly demonstrates Java’s role in big data, machine learning, microservices, and serverless computing, shedding light on how Java’s tools are effectively utilized in these domains. Complete with practical examples and insights, this book bridges theory with real-world applications, ensuring a holistic understanding of Java in cloud-based scenarios. You’ll navigate advanced topics, such as synchronizing Java’s concurrency with cloud auto-scaling and GPU computing, and be equipped with the skills and foresight to tackle upcoming trends in cloud technology.
This book serves as your roadmap to innovation and excellence in Java cloud applications, giving you in-depth knowledge and hands-on practice for mastering Java in the cloud era.
Table of Contents (20 chapters)
Preface
Part 1: Foundations of Java Concurrency and Parallelism in Cloud Computing
Chapter 1: Concurrency, Parallelism, and the Cloud: Navigating the Cloud-Native Landscape
Chapter 2: Introduction to Java’s Concurrency Foundations: Threads, Processes, and Beyond
Chapter 3: Mastering Parallelism in Java
Chapter 4: Java Concurrency Utilities and Testing in the Cloud Era
Chapter 5: Mastering Concurrency Patterns in Cloud Computing
Part 2: Java's Concurrency in Specialized Domains
Chapter 6: Java and Big Data – a Collaborative Odyssey
Chapter 7: Concurrency in Java for Machine Learning
Chapter 8: Microservices in the Cloud and Java’s Concurrency
Chapter 9: Serverless Computing and Java’s Concurrent Capabilities
Part 3: Mastering Concurrency in the Cloud – The Final Frontier
Chapter 10: Synchronizing Java’s Concurrency with Cloud Auto-Scaling Dynamics
Chapter 11: Advanced Java Concurrency Practices in Cloud Computing
Chapter 12: The Horizon Ahead
Index
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Appendix A: Setting up a Cloud-Native Java Environment
Appendix B: Resources and Further Reading
Customer Reviews