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Java Concurrency and Parallelism
Java Concurrency and Parallelism

Java Concurrency and Parallelism : Master advanced Java techniques for cloud-based applications through concurrency and parallelism

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Profile Icon Jay Wang
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$22.99 $33.99
eBook Aug 2024 496 pages 1st Edition
eBook
$22.99 $33.99
Paperback
$41.99
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Free Trial
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Arrow left icon
Profile Icon Jay Wang
Arrow right icon
$22.99 $33.99
eBook Aug 2024 496 pages 1st Edition
eBook
$22.99 $33.99
Paperback
$41.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$22.99 $33.99
Paperback
$41.99
Subscription
Free Trial
Renews at $19.99p/m

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Java Concurrency and Parallelism

Part 1: Foundations of Java Concurrency and Parallelism in Cloud Computing

The first part of the book lays the groundwork for understanding and implementing concurrency and parallelism in Java, focusing on cloud computing environments. It introduces key concepts, tools, and patterns that form the backbone of efficient and scalable Java applications in the cloud.

This part includes the following chapters:

  • 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
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Key benefits

  • Master concurrency and parallelism to overcome cloud computing challenges in Java
  • Build scalable solutions with Big Data, ML, microservices, and serverless architectures
  • Explore cloud scaling, GPU utilization, and future tech innovations in Java applications
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

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.

Who is this book for?

This book is for Java developers, software engineers, and cloud architects with intermediate Java knowledge. It's ideal for professionals transitioning to cloud-native development or seeking to enhance their concurrent programming skills. DevOps engineers and tech leads involved in cloud migration will also find valuable insights. Basic Java proficiency, familiarity with cloud concepts, and some experience with distributed systems is expected.

What you will learn

  • Understand Java concurrency in cloud app development
  • Get to grips with the core concepts of serverless computing in Java
  • Boost cloud scaling and performance using Java skills
  • Implement Java GPU acceleration for advanced computing tasks
  • Gain insights into Java's role in the evolving cloud and AI technology
  • Access hands-on exercises for real-world Java applications
  • Explore diverse Java case studies in tech and fintech
  • Implement Java in AI-driven cloud and data workflows
  • Analyze Java's application in IoT and real-time analytics

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 30, 2024
Length: 496 pages
Edition : 1st
Language : English
ISBN-13 : 9781805124559
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Languages :
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Product Details

Publication date : Aug 30, 2024
Length: 496 pages
Edition : 1st
Language : English
ISBN-13 : 9781805124559
Category :
Languages :
Tools :

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Table of Contents

17 Chapters
Part 1: Foundations of Java Concurrency and Parallelism in Cloud Computing Chevron down icon Chevron up icon
Chapter 1: Concurrency, Parallelism, and the Cloud: Navigating the Cloud-Native Landscape Chevron down icon Chevron up icon
Chapter 2: Introduction to Java’s Concurrency Foundations: Threads, Processes, and Beyond Chevron down icon Chevron up icon
Chapter 3: Mastering Parallelism in Java Chevron down icon Chevron up icon
Chapter 4: Java Concurrency Utilities and Testing in the Cloud Era Chevron down icon Chevron up icon
Chapter 5: Mastering Concurrency Patterns in Cloud Computing Chevron down icon Chevron up icon
Part 2: Java's Concurrency in Specialized Domains Chevron down icon Chevron up icon
Chapter 6: Java and Big Data – a Collaborative Odyssey Chevron down icon Chevron up icon
Chapter 7: Concurrency in Java for Machine Learning Chevron down icon Chevron up icon
Chapter 8: Microservices in the Cloud and Java’s Concurrency Chevron down icon Chevron up icon
Chapter 9: Serverless Computing and Java’s Concurrent Capabilities Chevron down icon Chevron up icon
Part 3: Mastering Concurrency in the Cloud – The Final Frontier Chevron down icon Chevron up icon
Chapter 10: Synchronizing Java’s Concurrency with Cloud Auto-Scaling Dynamics Chevron down icon Chevron up icon
Chapter 11: Advanced Java Concurrency Practices in Cloud Computing Chevron down icon Chevron up icon
Chapter 12: The Horizon Ahead Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
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