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Applied Architecture Patterns on the Microsoft Platform

You're reading from   Applied Architecture Patterns on the Microsoft Platform An in-depth scenario-driven approach to architecting systems using Microsoft technologies

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Product type Paperback
Published in Sep 2010
Publisher Packt
ISBN-13 9781849680547
Length 544 pages
Edition 1st Edition
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Toc

Table of Contents (26) Chapters Close

Applied Architecture Patterns on the Microsoft Platform
Credits
Foreword
About the Authors
About the Reviewer
1. Preface
1. Solution Decision Framework 2. Windows Communication Foundation and Windows Workflow 4.0 Primer FREE CHAPTER 3. Windows Server AppFabric Primer 4. BizTalk Server Primer 5. SQL Server and Data Integration Tools Primer 6. Windows Azure Platform Primer 7. Simple Workflow 8. Content-based Routing 9. Publish-Subscribe 10. Repair/Resubmit with Human Workflow 11. Remote Message Broadcasting 12. Debatching Bulk Data 13. Complex Event Processing 14. Cross-Organizational Supply Chain 15. Multiple Master Synchronization 16. Rapid Flexible Scalability 17. Low-Latency Request-Reply 18. Handling Large Session and Reference Data 19. Website Load Burst and Failover 20. Wrap Up

Pattern description


Unlike the content-based routing scenario which targets a single destination system, this scenario calls for the broadcast of an event to a variable number of interested consumers. Similar to the content-based routing pattern where the publisher of a request does not know who is consuming the information, the publish/subscribe pattern relies on decoupling the sender from the receiver(s). In a publish/subscribe scenario, a set of subscribers asynchronously receive a message in parallel to each other and independently act upon it. This pattern is very successful if you need a very loosely coupled, scalable way to funnel data to multiple recipients.

Ideally, a message broker in a publish/subscribe solution can provide a robust quality of service to the subscribers. This typically means that the broker can notify subscribers in parallel (versus sequentially), perform in a store-and-forward fashion so that downstream unavailability does not result in lost messages, and filter...

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