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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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1
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

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

Actor model

Scatter-Gather, combining with 167

adapting, to cloud’s dynamics

example 109-111

advanced concurrency patterns 267

data management patterns 267

advanced Java synchronizers

CountDownLatch 116-118

CyclicBarrier 119-121

Semaphore 118, 119

advanced profiling techniques 123

automated anomaly detection 123

distributed tracing 123

service-level aggregation 123

Advance RISC Machine (ARM) 405

Akka 29, 125, 126

features 125

for data processing project 126-129

Alibaba 25

Alternating Least Squares (ALS) algorithm 199

Amazon CloudWatch 94

Amazon Corretto 421

Amazon Elastic Compute Cloud (EC2) instance 19

Amazon Elastic Container Registry (ECR) 333, 433

Amazon Elastic Container Service (ECS) 327

Amazon Elastic MapReduce...

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