Edge Computing
From Principles to Practice
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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.
Philosophy
The core philosophy of this book is "learning by building." We believe that a deep and lasting understanding of a complex technology like edge computing comes not just from reading about it, but from actively engaging with its principles and applying them to solve real problems. The content moves purposefully from foundational theory to practical application, ensuring that students not only understand the "what" and "why" but are also proficient in the "how." The emphasis is on developing problem-solving skills and an intuitive grasp of architectural trade-offs between cloud, edge, and device.
Pedagogy
1. Scaffolded Learning: The chapters are arranged in a logical sequence, starting with fundamental concepts and progressively introducing more advanced topics. Each new concept builds upon the previous one, creating a coherent and solid knowledge base.
2. Explainatory and Simple Language: Complex technical jargon is minimized. Concepts are explained using clear, concise language, supplemented with analogies and simple examples to aid comprehension.
3. Visual Learning: Abundant diagrams, architectural illustrations, and flowcharts are used to visually represent complex systems and processes, catering to different learning styles.
4. Hands-On Application: The inclusion of practical examples, code snippets, hands-on lab exercises, and a full-fledged capstone project ensures that students gain tangible skills.
5. Case Study-Based Approach: Real-world case studies from diverse industries (IIoT, healthcare, autonomous systems) are integrated to demonstrate the impact and implementation of edge computing in practice.
Key Features
1. Globally Relevant Syllabus: Covers core concepts, technologies, and frameworks that are part of international university curricula.
2. Beginner to Advanced Coverage: The book is structured to be accessible to beginners while also providing the depth required for advanced learners and M.Tech students.
3. Application-Centric: A strong focus on the implementation of edge solutions and their real-world applications.
4. Complete Capstone Project: A unique final chapter provides a complete, working DIY project with source code and step-by-step guidance, offering invaluable practical experience.
5. Up-to-Date Content: Includes the latest trends and technologies in the field, such as Edge-AI, federated learning, 5G integration, and container orchestration with K3s/KubeEdge.
Disclaimer: Earnest request from the Author.
Kindly go through the table of contents and refer kindle edition for a glance on the related contents.
Thank you for your kind consideration!
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