Cloud-Edge Convergence
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Narrated by:
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Virtual Voice
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By:
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Ajit Singh
This title uses virtual voice narration
Virtual voice is computer-generated narration for audiobooks.
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.
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