The goal of the project is to design and implement a system parameter optimization tool that aims to help meeting a set of performance goals for a service in a given set of constraints. The input of the tool are the constraints along with the performance goals and the actual service configuration. The output of the system is a set of recommendations for parameters optimization.

The project aims to achieve this using various machine learning and artificial intelligence techniques.