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Cloud-Edge Convergence

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Cloud-Edge Convergence

By: Ajit Singh
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"Cloud-Edge Convergence" provides a comprehensive, hands-on exploration of one of the most transformative architectural shifts in modern computing. This book demystifies how the centralized power of the cloud and the distributed, real-time responsiveness of the edge can be combined to build next-generation intelligent systems. It serves as an essential guide for students and professionals aiming to master the principles, technologies, and practical skills required to design and deploy robust, scalable, and efficient distributed applications.


Key Features:


1. Comprehensive Coverage: Offers a 360-degree view of the Cloud-Edge ecosystem, from fundamental principles to advanced, state-of-the-art topics.
2. Simple and Lucid Language: Complex technical concepts are explained in an easy-to-understand manner with relatable examples and analogies.
3. NEP 2020 and AICTE Compliant: Focuses on experiential learning, critical thinking, and skill-based education, making it perfectly suited for modern engineering curricula in India and abroad.
4. Hands-On Practical Labs: Each critical concept is reinforced with practical exercises and labs that readers can replicate, using popular tools and platforms like Docker, Raspberry Pi, and AWS/Azure.
5. End-to-End Capstone Project: A full-fledged project in the final chapter provides invaluable experience in building a complete, real-world Cloud-Edge application from the ground up, with fully explained code.
6. Industry-Relevant Case Studies: Explores the application of Cloud-Edge convergence in high-impact domains such as Smart Cities, Autonomous Vehicles, Industrial IoT, and Healthcare.
7. Future-Ready Topics: Includes dedicated chapters on cutting-edge technologies like Edge AI, 5G, and Serverless Computing, preparing students for the future of the industry.
8. Balanced Approach: Strikes a perfect balance between theoretical foundations and practical implementation, making it an ideal textbook for undergraduate (B.Tech) and postgraduate (M.Tech) courses.


Each chapter is structured to take the reader on a logical journey, starting from the fundamental principles of cloud and edge computing and progressively building towards complex architectures, advanced topics like Edge AI, and robust security practices. I have consciously used simple, accessible language and grounded every concept in real-world examples and case studies—from smart homes and connected cars to industrial IoT and telemedicine.
Computer Science Technology Student
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