JAVA CONCURRENCY AND PARALLELISM master advanced Java techniques for cloud-based applications... through concurrency and parallelism
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, micro...
Main Author: | |
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Format: | eBook |
Language: | English |
Published: |
[S.l.]
PACKT PUBLISHING LIMITED
2024
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Subjects: | |
Online Access: | |
Collection: | O'Reilly - Collection details see MPG.ReNa |
Table of Contents:
- Cutting-edge tools for conquering cloud-native concurrency challenges
- Conquering concurrency
- best practices for robust cloud-native applications
- Code examples illustrating best practices
- Ensuring consistency
- the bedrock of robust concurrency strategies
- Summary
- Exercise
- exploring Java executors
- Questions
- Chapter 2: Introduction to Java's Concurrency Foundations: Threads, Processes, and Beyond
- Technical requirements
- Java's kitchen of concurrency
- unveiling threads and processes
- What are threads and processes?
- Similarities and differences
- Cover
- Copyright
- Contributors
- Table of Contents
- Preface
- Part 1: Foundations of Java Concurrency and Parallelism in Cloud Computing
- Chapter 1: Concurrency, Parallelism, and the Cloud: Navigating the Cloud-Native Landscape
- Technical requirements
- The dual pillars of concurrency versus parallelism
- a kitchen analogy
- When to use concurrency versus parallelism
- a concise guide
- Java and the cloud
- a perfect alliance for cloud-native development
- Exploring cloud service models and their impact on software development
- Unleashing the parallel powerhouse
- the Fork/Join framework
- The life cycle of threads in Java
- Activity
- differentiating threads and processes in a practical scenario
- The concurrency toolkit
- java.util.concurrent
- Threads and executors
- Synchronization and coordination
- Concurrent collections and atomic variables
- Hands-on exercise
- implementing a concurrent application using java.util.concurrent tools
- Synchronization and locking mechanisms
- The power of synchronization
- protecting critical sections for thread-safe operations
- Beyond the gatekeeper
- exploring advanced locking techniques
- Understanding and preventing deadlocks in multi-threaded applications
- Hands-on activity
- deadlock detection and resolution
- Employing Future and Callable for result-bearing task execution
- Safe data sharing between concurrent tasks
- Immutable data
- Thread local storage
- Leveraging thread-safe collections to mitigate concurrency issues
- Choosing between concurrent collections and atomic variables
- Concurrent best practices for robust applications
- Summary
- Questions
- Chapter 3: Mastering Parallelism in Java
- Technical requirements
- Java's transformation in the cloud
- a story of innovation
- Java
- the cloud-native hero
- Java's cloud-focused upgrades
- concurrency and beyond
- Real-world examples of successful cloud-native Java applications
- Modern challenges in cloud-native concurrency and Java's weapons of choice
- Wrangling distributed transactions in Java
- beyond classic commits
- Maintaining data consistency in cloud-native Java applications
- Handling state in microservices architectures
- Cloud database concurrency
- Java's dance moves for shared resources
- Parallelism in big data processing frameworks