In this 3-parts series of articles, David Pallmann explains how to perform grid computations on the Azure cloud computing platform. In Part 1 he presented a design pattern for using Azure for grid computing, while in Part 2 he showed how to develop such an application in C#. In this part he is going to explain how to run this application.
Read: Grid Computing on the Azure Cloud Computing Platform, Part 3: Running a Grid Application
In Part 2, the author developed a grid application written in C# on Neudesic’s Grid Computing Framework. Now he shows how to run such an application going through the following steps:
- setting up a database
- configuring the VS solution (*.cscfg)
- running the application locally
- viewing the grid
- viewing the grid task
- viewing the results
- running the application in the cloud
The author also makes a recommendation for testing the solution in 4 different environments: development, QA, staging and production. The article closes with performance and tuning considerations.