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Edge Computing Patterns for Solution Architects

You're reading from   Edge Computing Patterns for Solution Architects Learn methods and principles of resilient distributed application architectures from hybrid cloud to far edge

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781805124061
Length 214 pages
Edition 1st Edition
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Authors (2):
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Ashok Iyengar Ashok Iyengar
Author Profile Icon Ashok Iyengar
Ashok Iyengar
Joseph Pearson Joseph Pearson
Author Profile Icon Joseph Pearson
Joseph Pearson
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Table of Contents (17) Chapters Close

Preface 1. Part 1:Overview of Edge Computing as a Problem Space FREE CHAPTER
2. Chapter 1: Our View of Edge Computing 3. Chapter 2: Edge Architectural Components 4. Part 2: Solution Architecture Archetypes in Context
5. Chapter 3: Core Edge Architecture 6. Chapter 4: Network Edge Architecture 7. Chapter 5: End-to-End Edge Architecture 8. Part 3: Related Considerations and Concluding Thoughts
9. Chapter 6: Data Has Weight and Inertia 10. Chapter 7: Automate to Achieve Scale 11. Chapter 8: Monitoring and Observability 12. Chapter 9: Connect Judiciously but Thoughtlessly 13. Chapter 10: Open Source Software Can Benefit You 14. Chapter 11: Recommendations and Best Practices 15. Index 16. Other Books You May Enjoy

Functional requirements

In Chapter 1, we talked about cloud-out and edge-in paradigms. Cloud-out is where computing is taken out of the data center and brought to the far edges of the network. Conversely, the movement of the generated data from the source or the edge to a location with more computational resources for analysis is the edge-in part. Those facets drive functional requirements in an edge computing solution. We will discuss the common functional requirements of an edge computing solution in the subsequent sections.

Sensing

This is where we still deal with traditional sensors (e.g., IoT/accelerometers, thermometers, or actuators) as architectural components that acquire data and help create a signal. When combining technologies such as edge and artificial intelligence (AI), you introduce new ways of designing and deploying technology, thus improving and automating situational awareness with sense-making systems. These are deployed in stores, shop floors, industrial...

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