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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

Questions

  1. What is a key benefit of using Quarkus and GraalVM for building serverless Java applications?
    1. Improved startup time and reduced memory usage
    2. Easier integration with cloud-based AI/ML services
    3. Seamless deployment across multiple cloud providers
    4. All of the above
  2. Which of the following is a key advantage of using Java in edge computing environments?
    1. Platform independence
    2. Extensive library support
    3. Robust security model
    4. All of the above
  3. Which cloud AI service allows Java developers to easily train and deploy custom ML models without extensive ML expertise?
    1. AWS SageMaker
    2. Google Cloud AutoML
    3. Microsoft Azure Cognitive Services
    4. IBM Watson Studio
  4. Which quantum computing concept is demonstrated in the provided code example that puts a qubit into superposition and measures the outcome?
    1. Quantum entanglement
    2. Quantum teleportation
    3. Quantum superposition
    4. Quantum tunneling
  5. What is a key benefit of using serverless containers for Java applications in the cloud?
    1. Reduced operational overhead...
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Java Concurrency and Parallelism
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