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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

Product type Paperback

Published in Mar 2020

Publisher Packt

ISBN-13 9781839214806

Length 632 pages

Edition 2nd Edition

Concepts

Edge Computing

Author (1):

Perry Lea

View More author details

Table of Contents (17) Chapters

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

Public, private, and hybrid cloud

Within the cloud environment stand three different models of cloud topologies that are generally used: private cloud, public cloud, and hybrid cloud. Regardless of the model, cloud frameworks should all provide the ability to dynamically scale, develop, and deploy rapidly, and have the appearance of locality regardless of proximity:

Figure 2: Left: Public cloud. Middle: Private versus public cloud. Right: Hybrid cloud.

Private clouds also imply on-premises managed components. Modern enterprise systems tend to use a hybrid architecture to ensure the safety of mission-critical applications and data on-premises, and use the public cloud for connectivity, deployment ease, and rapid development.

Private cloud

In a private cloud, the infrastructure is provisioned for a single organization or corporation. There is no concept of resource sharing or pooling outside of the owner's own infrastructure. Within the premises, sharing and...

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Authors (1)

Perry Lea

Perry Lea

Perry Lea has spent 21 years at Hewlett Packard as a distinguished technologist and chief architect. Then, he served as a member of technical staff and strategic director at Micron Technologies leading a team working on advanced computing devices. Currently, he is a technical director at Cradlepoint where he leads advancement and research in IoT and fog compute. Perry has degrees in computer science, computer engineering, and an EE degree from Columbia University. He is a senior member of IEEE and a senior member and distinguished speaker of ACM. He has 8 patents with 40 pending.

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