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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

Candidate architecture


We are looking at a single candidate for this solution. While the Windows Server AppFabric Cache is the best choice for this scenario, we will also discuss the alternatives for accessing reference data.

Candidate architecture #1 Windows Server AppFabric Cache

Usage of distributed caching technology is common when implementing this pattern. Before talking about it, let us look at a couple of other options available database servers and ASP.NET (session and application caching). Let us use the data from the use case and key requirements to see how the options stack up.

In large enterprises, SQL Server or any database server is a huge investment used by many critical applications. In this pattern, the reference data could be accessed repeatedly from the database tables which may become inefficient and obtrusive to other transaction processing systems sharing the database instance or the network. As we have seen in the previous section, when the workload is essentially...

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