Essentials of Edge Computing eBook
Computing at the edge of a network is a fundamentally simple concept but it requires a broad range of capabilities to achieve optimal security, energy efficiency, connectivity and machine learning intelligence. Essentials of Edge Computing was created to share knowledge and insights to help drive forward the enormous potential of edge computing in the next era of the IoT. Whether you are creating edge products or SoCs, this book is for you.
What's Inside
- Chapter 1: Introduction
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Chapter 2: Hardware and Software Architectures
- Edge-to-Cloud Communication
- Sensors and Actuators
- Microprocessor and Microcontroller Basics
- Communication Protocols for Edge Computing
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Chapter 3: Security
- Cryptographic Features
- Hash Function
- Symmetric Key Cryptography
- Public Key Cryptography
- Hardware Acceleration
- Trusted Execution Environment Intelligence
- Edge Machine Learning Frameworks and Hardware
- Optimizing Machine Learning Pipelines and Hardware
- Chapter 4: Machine Learning Intelligence
- Chapter 5: Connectivity
- Chapter 6: Device Life-Cycle Management
- Chapter 7: Energy Efficiency and Optimization
- Chapter 8: Human Machine Interface
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Chapter 9: Use Cases
- Local Voice at the Edge Optimized for Power Efficiency
- 5G Technology as an Enabler for Industry 4.0
- Wearables
- Time-Sensitive Networking and Distributed Real Time Computing at the Edge
- Intelligent Connected Vehicles
- Chapter 10: Development Tools
Essentials of Edge Computing Contributors
Robert Oshana (Editor-in-chief), Mohit Arora, Jean-Christophe Bodet, Antoine Boiteau, Cristi Caciuloiu, Brian Carlson, Nicolas Collonvillé, Julien Delplancke, Silvano di Ninno, Alexandra Dopplinger, Mihai-Andrei Dragnea, Natraj Ekambaram, Sebastian Grigore, Doru Gucea, Michal Hanak, Mathieu Imbault, Saleem Kala-Janssen, Prabhu Loganathan, Nihaar Mahatme, Pascal Mareau, Jason Martin, Guillermo Michel, Sujata Neidig, Ali Osman Örs, Nicu Penisoara, Laurent Pilati, Wim Rouwet, Erich Styger, Marc Vauclair, and Francois Villeneuve.
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