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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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Toc

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

Network Edge Architecture

Communication service providers (CSPs) and telcos are mostly interested in network edge solutions because they offer them a way to monetize their investments in 5G infrastructure. While CSPs have built their business on operating physical networks tied to specific geographies, telcos realize that they have access to the same public cloud infrastructure as every other business. That is significant because we will see in this chapter that software is being used to define networks, especially in the era of 5G and beyond.

In Chapter 3, we described the basic edge architecture. In this chapter, we will explore network edge architectures and learn how they address, among other features, security and reliability, latency considerations, and storage constraints. The new paradigm is to place compute power at the network edge, thus making it possible to intelligently manage workload placement. The main topics that will be covered are as follows:

  • Network functions...
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