Untangling The Threads Of Distributed Systems A Journey With Javaspaces And Beyond

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Untangling the Threads of Distributed Systems: A Journey with JavaSpaces and Beyond

Author: Pasquale De Marco
language: en
Publisher: Pasquale De Marco
Release Date: 2025-07-19
In today's interconnected world, organizations across industries are grappling with the complexities of managing and coordinating data and processes across distributed systems. JavaSpaces, a groundbreaking technology built on the Java platform, emerges as a beacon of hope, offering a transformative approach to distributed coordination and data management. This comprehensive guide, "Untangling the Threads of Distributed Systems: A Journey with JavaSpaces and Beyond", serves as an invaluable resource for developers and architects seeking to harness the power of JavaSpaces in crafting robust, scalable, and resilient distributed applications. Delving into the intricacies of JavaSpaces, this guide unveils its core concepts, architecture, and key features, empowering readers to grasp the essence of this revolutionary technology. Through practical examples and real-world case studies, the book illustrates the diverse applications of JavaSpaces in tackling complex distributed computing challenges. Readers will discover how JavaSpaces simplifies communication and coordination among distributed components, enabling seamless collaboration and data exchange. Moving beyond the confines of JavaSpaces, the book explores its seamless integration with other cutting-edge technologies, unlocking a world of possibilities for building comprehensive distributed solutions. Whether it's integrating JavaSpaces with relational databases for persistent storage, leveraging cloud computing for scalability, or combining it with microservices for modern application development, this guide provides a comprehensive roadmap for unlocking the full potential of JavaSpaces. With a focus on clarity and practicality, this guide caters to developers of all skill levels, from those new to distributed systems to seasoned professionals seeking to expand their expertise. Through its in-depth explanations, hands-on examples, and insightful case studies, readers will gain a thorough understanding of JavaSpaces and its applications in building scalable, resilient, and high-performance distributed systems. Embrace the power of JavaSpaces and embark on a transformative journey into the realm of distributed computing. With this guide as your compass, you will navigate the complexities of distributed systems with confidence, unlocking the endless possibilities that await in this ever-evolving digital landscape. If you like this book, write a review!
Semantic Software Design

Author: Eben Hewitt
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2019-09-25
With this practical book, architects, CTOs, and CIOs will learn a set of patterns for the practice of architecture, including analysis, documentation, and communication. Author Eben Hewitt shows you how to create holistic and thoughtful technology plans, communicate them clearly, lead people toward the vision, and become a great architect or Chief Architect. This book covers each key aspect of architecture comprehensively, including how to incorporate business architecture, information architecture, data architecture, application (software) architecture together to have the best chance for the system’s success. Get a practical set of proven architecture practices focused on shipping great products using architecture Learn how architecture works effectively with development teams, management, and product management teams through the value chain Find updated special coverage on machine learning architecture Get usable templates to start incorporating into your teams immediately Incorporate business architecture, information architecture, data architecture, and application (software) architecture together
Big Data Analytics: Systems, Algorithms, Applications

This book provides a comprehensive survey of techniques, technologies and applications of Big Data and its analysis. The Big Data phenomenon is increasingly impacting all sectors of business and industry, producing an emerging new information ecosystem. On the applications front, the book offers detailed descriptions of various application areas for Big Data Analytics in the important domains of Social Semantic Web Mining, Banking and Financial Services, Capital Markets, Insurance, Advertisement, Recommendation Systems, Bio-Informatics, the IoT and Fog Computing, before delving into issues of security and privacy. With regard to machine learning techniques, the book presents all the standard algorithms for learning – including supervised, semi-supervised and unsupervised techniques such as clustering and reinforcement learning techniques to perform collective Deep Learning. Multi-layered and nonlinear learning for Big Data are also covered. In turn, the book highlights real-life case studies on successful implementations of Big Data Analytics at large IT companies such as Google, Facebook, LinkedIn and Microsoft. Multi-sectorial case studies on domain-based companies such as Deutsche Bank, the power provider Opower, Delta Airlines and a Chinese City Transportation application represent a valuable addition. Given its comprehensive coverage of Big Data Analytics, the book offers a unique resource for undergraduate and graduate students, researchers, educators and IT professionals alike.