Customization

This example demonstrates how to customize PyDASA by defining your own dimensional framework and tailoring the workflow to your specific needs.

Specifically we will create a custom dimensional framework called “CUSTOM” with the following fundamental dimensions:

• [T]: Time (seconds).

• [D]: Data Size (bits).

• [E]: Effort (requests).

This FDUs are similar to the built-in “SOFTWARE” framework, but smaller and simpler for our demonstration purposes.

Then we will apply this custom framework to analyze a simple web server performance problem represented in a Queuing Model (M/M/c/K).