ML-DEECo for Security rules

This is an accompanying repository to the paper Machine-learning abstractions for component-based self-optimizing systems by Michal Töpfer, Milad Abdullah, Tomáš Bureš, Petr Hnětynka, and Martin Kruliš.

Contents

There are several folders in this repository:

• ml_deeco – implementation of the ML-DEECo framework.
• ml_deeco/examples
  • simple_example – a simple example showing basic usage of the ML-DEECo framework.
  • all_example – example of all predictions defined in the taxonomy (serves mainly as a test of the implementation).
• smart_factory – simulation of the example (smart access to factory, late workers) showcased throughout the paper (with a replication package).
• machine_failure – simulation of another example (failing production machines) from the paper (with a replication package).