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Real-World Edge Computing

You're reading from   Real-World Edge Computing Scale, secure, and succeed in the realm of edge computing with Open Horizon

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Product type Paperback
Published in Jun 2024
Publisher Packt
ISBN-13 9781835885840
Length 296 pages
Edition 1st Edition
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Authors (2):
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Robert High Robert High
Author Profile Icon Robert High
Robert High
Sanjeev Gupta Sanjeev Gupta
Author Profile Icon Sanjeev Gupta
Sanjeev Gupta
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Table of Contents (24) Chapters Close

Preface 1. Part 1: Managing the Edge FREE CHAPTER
2. Chapter 1: Fundamentals of Edge Computing 3. Chapter 2: Practicalities of Edge Computing 4. Chapter 3: Designing and Building Edge Software 5. Chapter 4: Edge Container Platforms 6. Chapter 5: Application Placement and Life Cycle Management 7. Part 2: Working on the Edge
8. Chapter 6: Installing an Edge Agent on an Edge Node 9. Chapter 7: Registering an Edge Node 10. Chapter 8: Using the Open Horizon CLI and API 11. Chapter 9: Autonomous and Flexible Management of Edge Services 12. Chapter 10: Managing Edge Scale with Policy-Based Workload Placement 13. Part 3: Advancing the Edge System
14. Chapter 11: Machine Learning Workload and Model Deployment 15. Chapter 12: Security at the Edge 16. Chapter 13: Network Connectivity at the Edge 17. Part 4: Edge Management in Practice
18. Chapter 14: Building a Real-World Example Application 19. Chapter 15: Troubleshooting at the Edge 20. Chapter 16: Follow-on Topics 21. Chapter 17: Using the IBM Edge Application Manager Web UI 22. Index 23. Other Books You May Enjoy

Deploying a Service to consume a published model

As mentioned before, ML models are typically large files and can take several minutes to get delivered to the target Edge nodes asynchronously, depending upon the network bandwidth. In this example, we will use a small text file with easily readable text content to show the delivery of the file to the target service. This simple exercise will help us practice different commands and examine the model delivery process.

In this exercise, we will use a new service-mms example service. This example is a variation of helloMMS to practice MMS foundational concepts. This knowledge will be useful in the complete ML-based object detection application described in Chapter 14.

This standalone service-mms service, in addition to handling MMS functions, also exposes an endpoint that can be queried by another service to retrieve the model file delivered by MMS. The service-mms service also marks or deletes the newly delivered model file so that...

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