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Distributed .NET with Microsoft Orleans

You're reading from   Distributed .NET with Microsoft Orleans Build robust and highly scalable distributed applications without worrying about complex programming patterns

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Product type Paperback
Published in May 2022
Publisher Packt
ISBN-13 9781801818971
Length 262 pages
Edition 1st Edition
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Authors (2):
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Bhupesh Guptha Muthiyalu Bhupesh Guptha Muthiyalu
Author Profile Icon Bhupesh Guptha Muthiyalu
Bhupesh Guptha Muthiyalu
Suneel Kumar Kunani Suneel Kumar Kunani
Author Profile Icon Suneel Kumar Kunani
Suneel Kumar Kunani
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Table of Contents (17) Chapters Close

Preface 1. Section 1 - Distributed Applications Architecture
2. Chapter 1: An Introduction to Distributed Applications FREE CHAPTER 3. Chapter 2: Cloud Architecture and Patterns for Distributed Applications 4. Section 2 - Working with Microsoft Orleans
5. Chapter 3: Introduction to Microsoft Orleans 6. Chapter 4: Understanding Grains and Silos 7. Chapter 5: Persistence in Grains 8. Chapter 6: Scheduling and Notifying in Orleans 9. Chapter 7: Engineering Fundamentals in Orleans 10. Section 3 - Building Patterns in Orleans
11. Chapter 8: Advanced Concepts in Orleans 12. Chapter 9: Design Patterns in Orleans 13. Section 4 - Hosting and Deploying Orleans Applications to Azure
14. Chapter 10: Deploying an Orleans Application in Azure Kubernetes 15. Chapter 11: Deploying an Orleans Application to Azure App Service 16. Other Books You May Enjoy

Batch message processing with Dispatcher

The Command Dispatcher is a well-known pattern used to isolate a command's execution from its commander. The commander doesn't need to know how the command is carried out. All that the commander needs to know is that it exists.

In IoT systems where each sensor sends lots of data for processing, it is often more effective to send messages in batches rather than sending them one at a time. There can be a dispatcher grain to distribute these messages to a specific grain. The dispatcher is in charge of coordination; it collects a batch of messages and distributes them to individual grains for processing. The Dispatcher pattern can be applied when a batch of incoming messages has to be decoded before the target grain can be determined.

As shown in the following diagram, the Dispatcher pattern has three participants:

  • Client System: This generates the batches of messages.
  • Dispatcher Grain: This is tasked with processing...
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