J. Mauro

Using Weisfeiler-Leman Features for Algorithm Selection in Constraint Optimisation

Algorithm Selection is essential for efficient Constraint Programming. Over the years, many algorithm selectors based on machine learning methods have been successfully applied, yet traditional feature extraction methods often rely on manually decided instance-level statistics that fail to capture the underlying proble...

Science of Computer Programming

A Kubernetes Scheduler Plugin for Cluster-Wide Placement Optimisation

The default scheduler of Kubernetes, the state-of-the-art container orchestrator, uses fast, local placement decisions. Unfortunately, this design leads to resource fragmentation, reduced cluster usage, and overprovisioning. External solvers can compute global placement plans, but enforcing these plans in upstream clus...