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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

Questions

  1. What is a key advantage of microservices architecture over monolithic architecture?
    1. Increased complexity and coupling
    2. Reduced flexibility and scalability
    3. Independent deployment and scalability
    4. Single point of failure
  2. Which Java feature is essential for managing asynchronous tasks within microservices?
    1. Java Virtual Machine (JVM)
    2. Java Database Connectivity (JDBC)
    3. CompletableFuture
    4. JavaBeans
  3. What is the primary role of a load balancer in a microservices architecture?
    1. Encrypting data transfers
    2. Distributing incoming network traffic across multiple instances
    3. Data storage and management
    4. Error logging and handling
  4. Which pattern helps prevent a network or service failure from cascading to other parts of the system in microservices?
    1. Singleton pattern
    2. Factory pattern
    3. Circuit breaker pattern
    4. Builder pattern
  5. Which best practice is recommended when implementing microservices in the cloud for handling data consistency?
    1. Using a single shared database for all services
    2. Employing different...

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