collaborators

6 papers

cs.DC2026

A Kubernetes Scheduler Plugin for Cluster-Wide Placement Optimisation

Henrik Daniel Christensen, Saverio Giallorenzo, Jacopo Mauro

The default scheduler of Kubernetes, the state-of-the-art container orchestrator, uses fast, local placement decisions. Unfortunately, this design leads to resource fragmentation,…

cs.SE2026

Portable and Secure CI/CD for COBOL: Lessons from an Industrial Migration

Andreas Askholm, Kenneth Johnsen, Jacopo Mauro

Continuous integration and delivery (CI/CD) pipelines are critical for sustaining the evolution of large software systems. In regulated industries with legacy technologies, however…

cs.SE2026

GitOps for Capture the Flag Platforms

Mikkel Bengtson Albrechtsen, Jacopo Mauro, Torben Worm

In this paper, we present CTF Pilot, a GitOps-based framework for the deployment and management of Capture The Flag (CTF) competitions. By leveraging Git repositories as the single…

cs.AI2025

When Words Change the Model: Sensitivity of LLMs for Constraint Programming Modelling

Alessio Pellegrino, Jacopo Mauro

One of the long-standing goals in optimisation and constraint programming is to describe a problem in natural language and automatically obtain an executable, efficient model. Larg…

cs.DC2025

Priority Matters: Optimising Kubernetes Clusters Usage with Constraint-Based Pod Packing

Henrik Daniel Christensen, Saverio Giallorenzo, Jacopo Mauro

Distributed applications employ Kubernetes for scalable, fault-tolerant deployments over computer clusters, where application components run in groups of containers called pods. Th…

cs.DC2025

Affinity-aware Serverless Function Scheduling

Giuseppe De Palma, Saverio Giallorenzo, Jacopo Mauro +2

Functions-as-a-Service (FaaS) is a Serverless Cloud paradigm where a platform manages the scheduling (e.g., resource allocation, runtime environments) of stateless functions. Recen…