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 Architectural Patterns and Techniques for Developing IoT Solutions

You're reading from  Architectural Patterns and Techniques for Developing IoT Solutions

Product type Book
Published in Sep 2023
Publisher Packt
ISBN-13 9781803245492
Pages 304 pages
Edition 1st Edition
Languages
Author (1):
Jasbir Singh Dhaliwal Jasbir Singh Dhaliwal
Profile icon Jasbir Singh Dhaliwal

Table of Contents (20) Chapters

Preface 1. Part 1: Understanding IoT Patterns
2. Chapter 1: Introduction to IoT Patterns 3. Chapter 2: IoT Patterns for Field Devices 4. Chapter 3: IoT Patterns for the Central Server 5. Part 2: IoT Patterns in Action
6. Chapter 4: Pattern Implementation in the Consumer Domain 7. Chapter 5: Pattern Implementation in the Smart City Domain 8. Chapter 6: Pattern Implementation in the Retail Domain 9. Chapter 7: Pattern Implementation in the Manufacturing Domain 10. Chapter 8: Pattern Implementation in the Agriculture Domain 11. Part 3: Implementation Considerations
12. Chapter 9: Sensor and Actuator Selection Guidelines 13. Chapter 10: Analytics in the IoT Context 14. Chapter 11: Security in the IoT Context 15. Part 4: Extending IoT Solutions
16. Chapter 12: Exploring Synergies with Emerging Technologies 17. Chapter 13: Epilogue 18. Index 19. Other Books You May Enjoy

Enterprise system integration

To derive maximum value from IoT implementation, the IoT system needs to integrate with existing software systems in an enterprise. In fact, integration with external systems allows for the interaction between the cyber and physical worlds – IoT systems representing the physical world and external systems residing in the cyber/virtual world. The notation used for this pattern is shown in the following figure:

Figure 3.12 – Notation for an external system integration pattern

As is the case with any general integration, integration of an IoT system with another enterprise or legacy system results in benefits that far exceed what we would have if these systems were operating in isolation (the whole being greater than the sum of its parts). Integration can enable automation of end-to-end workflows, remove data duplicity, enhance decision-making quality, or eliminate the possibility of relying on stale data.

Data synchronization...

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