"Edge Computing Technology, Management and Integration" ed. by Sam Goundar
ITexLi | 2023 | ISBN: 1837688621 9781837688623 1837688613 9781837688616 183768863X 9781837688630 | 239 pages | PDF | 26 MB
ITexLi | 2023 | ISBN: 1837688621 9781837688623 1837688613 9781837688616 183768863X 9781837688630 | 239 pages | PDF | 26 MB
This book explores various technologies that make edge computing possible and how to manage computing at the edge and integrate it with existing networks and 5G networks of the future. It investigates the current state-of-the-art infrastructure and architecture and highlights advances and future trends. Security and privacy become a concern when you compute at the edge because the data needs to travel across various network nodes and user devices at the edge. This book also discusses the management of security, privacy, and other network issues.
Over the years, computing has moved from centralized location-based computing to distributed cloud computing. Because of cloud computing’s security, regulatory, and latency issues, it was necessary to move all computation processes to the edge of the network (edge computing). However, at the edge, traditional computing devices no longer exist on their own. They have been joined by millions of mobile, Internet of Things (IoT), and smart devices, all needing computation. Therefore, edge computing infrastructure is necessary for multiple devices at the edge of the network.
Contents
1. Cloud Computing to Fog Computing: A Paradigm Shift
2. A View – Cloud-Edge Computing Technology
3. Network Powered by Computing: Next Generation of Computational Infrastructure
4. Cloud Lock-in Parameters – Service Adoption and Migration
5. Swarm Computing: The Emergence of a Collective Artificial Intelligence at the Edge of the Internet
6. Optimal Unmanned Aerial Vehicle Control and Designs for Load Balancing in Intelligent Wireless Communication Systems
7. IoT on an ESP32: Optimization Methods Regarding Battery Life and Write Speed to an SD-Card
8. 5G Enabling Technologies – Revolutionizing Transport, Environment, and Health
9. Federated Learning Hyper-Parameter Tuning for Edge Computing
10. Edge Computing in Digital Epidemiology and Global Health
11. Edge-Cloud Collaboration for Industrial IoT – An Online Approach
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