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Java Concurrency and Parallelism

Java Concurrency and Parallelism

By : Jay Wang
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Java Concurrency and Parallelism

Java Concurrency and Parallelism

5 (1)
By: Jay Wang

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)
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Part 1: Foundations of Java Concurrency and Parallelism in Cloud Computing
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Part 2: Java's Concurrency in Specialized Domains
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Part 3: Mastering Concurrency in the Cloud – The Final Frontier
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Index
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Appendix B: Resources and Further Reading
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Safe data sharing between concurrent tasks

Immutable data and thread-local storage are fundamental concepts for concurrency and can greatly simplify thread-safe programming. Let’s explore them in detail.

Immutable data

Immutable data is a fundamental concept where an object’s state cannot be changed once it is created. Any attempt to modify such objects results in the creation of new ones, leaving the original untouched. This is in stark contrast to mutable data, where the state of an object can be directly altered after its creation.

Its benefits are as follows:

  • It eliminates the need for synchronization: When immutable data is shared across threads, there is no need for synchronization mechanisms such as locks or semaphores
  • Enhances thread safety: Immutability by its very nature guarantees thread-safe operations
  • Simplifies reasoning: With immutability, there’s no concern about unexpected changes from other threads, making the code more...

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