I'm currently working on a large real-time OLAP application. All data are hold in RAM (a few gigabytes) and the common tasks involve brute scanning over the large quantity of that data (which is fine). The results of processing are exposed via a Web service (singleton/multithreaded) and presented using Silverlight-based client.
The problem is that various customers need different functionality/algorithms and I don't know how to provide extensibility on the server-side. For the client side (Silverlight) I can use MEF/Prism, but I'm not sure what would be a good approach to tackle this problem on the server.
Please note that ideally other web-services should have a direct access (i.e. without marshaling) to the data of the main/current service which holds the large data model.
Are there any:
a) frameworks/libraries
b) patterns
c) good pracitces
which would help me to modularize the application and make the selection of desired modules and their deployment relatively easy?