Authors: Dr. G Merlin Linda, Dr. Sudheer Reddy Bandi, Ms. D. Sivaranjani and Ms. T. Judes Divya

ISBN: 978-81-991955-4-7

DOI: https://doi.org/10.59646/ec/428

Date of Publication: August 22, 2025

About the Book:

The book Edge Computing and the Future of Decentralized Systems offers a comprehensive exploration of how computing paradigms are shifting away from centralized infrastructures to more distributed, intelligent, and resilient models, shaping the backbone of next-generation digital transformation. Beginning with an introduction to edge computing, it discusses its key components, applications, and advantages before tracing its evolution from early computing paradigms through the rise of client-server and cloud models, leading to today’s dynamic edge-to-cloud continuum. Readers are introduced to the distinctions between cloud and edge computing in terms of latency, performance, scalability, data privacy, and cost efficiency, while also understanding the broader concepts of decentralized systems, their benefits, challenges, and use cases across industries. Subsequent chapters highlight how edge computing is increasingly becoming central to IoT, AI-driven automation, and 5G-enabled ecosystems by enabling real-time analytics, hyperlocal processing, and intelligent decision-making at scale. The book also dives into enabling technologies, including communication protocols like MQTT, CoAP, and 5G; machine learning and AI at the edge; blockchain for decentralized trust and security; and frameworks for edge AI optimization and hardware acceleration. Architectural models such as fog computing, cloudlets, hybrid and multi-cloud integrations, and emerging paradigms like Edge-as-a-Service (EaaS) and microservices provide readers with a deep understanding of how scalable, fault-tolerant, and resilient edge systems are designed and deployed. Real-world applications are emphasized in the context of Industry 4.0, with examples spanning smart manufacturing, predictive maintenance, supply chain optimization, cyber-physical systems, robotics, AR/VR integration, and digital twins, demonstrating the transformative role of edge solutions in industrial automation and smart factories. A strong emphasis is placed on the security, privacy, and ethical issues inherent in decentralized environments, covering identity management, zero trust security models, anomaly detection, data sovereignty, blockchain trust mechanisms, and the regulatory landscape. The final chapters explore how AI and automation are increasingly critical for securing edge systems, and how decentralized autonomous systems (DAS) are shaping new frontiers of trust, governance, and ethical responsibility in distributed networks. By blending technical depth, architectural clarity, and industry-focused case studies—from healthcare and smart cities to renewable energy and logistics—the book provides readers with both theoretical foundations and practical insights. It positions edge computing not merely as an extension of cloud computing but as a revolutionary paradigm that will redefine enterprise architectures, digital ecosystems, and global communication infrastructures in an era of hyperconnectivity, autonomy, and decentralized intelligence.