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    <p>Worker roles are most efficient when run at or near to full CPU capacity- you are, after all, paying by CPU hour for them. A useful way to achieve this is to combine worker roles such that all of your background jobs end up being performed in a single role. </p> <p>A great way to run single worker role type architectures is to use some sort of generic worker role pattern- basically a plugin pattern whereby the worker role reads a message off the queue and uses some metadata encoded into the message (or the name of the queu) to determine the type of processing it requires. It will then go to blob storage to retrieve the .NET assembly to perform that type of processing, instantiate this into a new appdomain and marshall the context into that assembly for processing.</p> <p>This is covered in the Asynchronous Workloads session in the <a href="http://www.microsoft.com/downloads/en/details.aspx?FamilyID=413e88f8-5966-4a83-b309-53b7b77edf78&amp;displaylang=en" rel="nofollow">WIndows Azure Platform Training Kit</a>. This also contains a hands on lab that guides you through a sample implementation of one of these types of approaches. </p> <p>The folks from Lokad have a really elegant implementation including all the polish and administration mechanisms that you'd need if you did this properly. Their implementation is New BSD licensed and was the winner of the MSFT Azure Partner of the YEar award last year. It's an essential part of almost every Azure project that I build. Highly recommended and trivial to integrate. <a href="http://code.google.com/p/lokad-cloud/" rel="nofollow">http://code.google.com/p/lokad-cloud/</a> </p> <p>So in short, I prefer a generic worker role implemented as a plugin type pattern with dynamics type loading and instantiation. </p>
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