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

Introduction to Java’s Concurrency Foundations: Threads, Processes, and Beyond

Welcome to Chapter 2, where we embark on a culinary-inspired exploration of Java’s concurrency model, likening it to a bustling kitchen. In this dynamic environment, threads are akin to nimble sous chefs, each skillfully managing their specific tasks with speed and precision. They work in unison, seamlessly sharing the kitchen space and resources. Imagine each thread whisking through their assigned recipes, contributing to the overall culinary process in a synchronized dance.

On the other hand, processes are comparable to larger, independent kitchens, each equipped with their unique menus and resources. These processes operate autonomously, handling complex tasks in their self-contained domains without the interference of neighboring kitchens.

In this chapter, we delve into the nuances of these two essential components of Java’s concurrency. We’ll explore the life cycle...

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