Comercial Name: 
More info soon
Politecnico di Milano and Federal University of Minas Gerais
Apache 2.0


Descriptive and predictive data analytics techniques to monitor the performance

Contact persons

  • Danilo Ardagna, Politecnico di Milano (Italy)
  • Jussara Almeida, Federal University of Minas Gerais (Brazil)

Who shall use it?

Developer and open-source communities.

What’s its value add?

Apply best practices, mitigation actions and integrate services derived from the project to improve quantitatively the trustworthiness, both a priori and at runtime. Improve the trustworthiness of the application

What are the unique selling points?

Performance prediction for supporting development of serverless applications.

Exploitation Drivers

Fulfilling user requirements and providing QoS guarantees.

Download & Resources

More info soon


    More info soon