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

Unlock Java's full potential for cloud computing through expert insights from real-world case studies and stay ahead with the latest trends in agile and robust Java application development. Key Features: Master concurrency and parallelism to overcome cloud computing challenges in JavaBuild scal...

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書誌詳細
第一著者: Wang, Jay
フォーマット: Livre numérique
言語:Anglais
出版事項: Birmingham : Packt Publishing 2024.
Paris : Cyberlibris
オンライン・アクセス:Accès Université d'Orléans et IFPM
注記: Couverture. https://static2.cyberlibris.com/books_upload/136pix/9781805124559.jpg
Cyberlibris (ScholarVox) corpus Informatique
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Java Concurrency and Parallelism, Master advanced Java techniques for cloud-based applications through concurrency and parallelism, Jay Wang, Birmingham, Packt Publishing, 2024, 1 vol. (496 p.), 978-18-0512-926-4
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520 |a Unlock Java's full potential for cloud computing through expert insights from real-world case studies and stay ahead with the latest trends in agile and robust Java application development. Key Features: Master concurrency and parallelism to overcome cloud computing challenges in JavaBuild scalable solutions with Big Data, ML, microservices, and serverless architectures. Explore cloud scaling, GPU utilization, and future tech innovations in Java applications. Book 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. What you will learn: Understand Java concurrency in cloud app development. Get to grips with the core concepts of serverless computing in JavaBoost 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 workflowsAnalyze Java's application in IoT and real-time analytics. Who this book is 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 
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