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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 (2)
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
7
Part 2: Java's Concurrency in Specialized Domains
12
Part 3: Mastering Concurrency in the Cloud – The Final Frontier

Adapting Java’s concurrency model to serverless environments

Serverless computing presents unique challenges for Java’s traditional concurrency model. The ephemeral and stateless nature of serverless functions necessitates a shift from long-lived thread pools and shared mutable state to more dynamic and isolated concurrency patterns. In this context, developers must focus on designing concurrency strategies that align with the short-lived, event-driven nature of serverless architectures.

Effective serverless concurrency in Java revolves around maximizing function efficiency within strict time and resource constraints. This involves leveraging asynchronous operations, particularly through CompletableFuture, to handle non-blocking I/O tasks and optimize throughput. Developers should structure their code to process events efficiently, a central tenet of serverless design.

When using CompletableFuture for asynchronous processing in serverless functions, it’s...

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