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IoT and Edge Computing for Architects

You're reading from   IoT and Edge Computing for Architects Implementing edge and IoT systems from sensors to clouds with communication systems, analytics, and security

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Product type Paperback
Published in Mar 2020
Publisher Packt
ISBN-13 9781839214806
Length 632 pages
Edition 2nd Edition
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Author (1):
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Perry Lea Perry Lea
Author Profile Icon Perry Lea
Perry Lea
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Table of Contents (17) Chapters Close

Preface 1. IoT and Edge Computing Definition and Use Cases 2. IoT Architecture and Core IoT Modules FREE CHAPTER 3. Sensors, Endpoints, and Power Systems 4. Communications and Information Theory 5. Non-IP Based WPAN 6. IP-Based WPAN and WLAN 7. Long-Range Communication Systems and Protocols (WAN) 8. Edge Computing 9. Edge Routing and Networking 10. Edge to Cloud Protocols 11. Cloud and Fog Topologies 12. Data Analytics and Machine Learning in the Cloud and Edge 13. IoT and Edge Security 14. Consortiums and Communities 15. Other Books You May Enjoy
16. Index

Fog computing

Fog computing is the evolutionary extension of cloud computing at the edge. Fog represents a system-level horizontal architecture that distributes resources and services across a network fabric. These services and resources include storage components, computing devices, networking functions, and so on. The nodes can be located anywhere between the cloud and the "things" (sensors). This section details the difference between fog and edge computing and provides the various topologies and architectural references for fog computing.

The Hadoop philosophy for fog computing

Fog computing draws its analogy from the success of Hadoop and MapReduce, and to better understand the importance of fog computing, it is worth taking some time to think about how Hadoop works. MapReduce is a method of mapping, and Hadoop is an open source framework based on the MapReduce algorithm.

MapReduce has three steps: map, shuffle, and reduce. In the map phase, computing...

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