Mattia Zaccarini

According to our database, Mattia Zaccarini authored at least 15 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

HephaestusForge: Optimal microservice deployment across the Compute Continuum via Reinforcement Learning.

José Santos, Mattia Zaccarini, Filippo Poltronieri, Mauro Tortonesi, Cesare Stefanelli, Nicola Di Cicco, Filip De Turck

Future Gener. Comput. Syst., 2025

Hybridized Hot Restart via Reinforcement Learning for Microservice Orchestration.

Mattia Zaccarini, Filippo Poltronieri, Cesare Stefanelli, Mauro Tortonesi

Proceedings of the NOMS 2025 IEEE Network Operations and Management Symposium, 2025

Chaos Engineering Based Kubernetes Pod Rescheduling Through Deep Sets and Reinforcement Learning.

Mattia Zaccarini, Filippo Poltronieri, Davide Borsatti, Walter Cerroni, Luca Foschini, Genady Ya. Grabarnik, Domenico Scotece, Larisa Shwartz, Cesare Stefanelli, Mauro Tortonesi

Proceedings of the NOMS 2025 IEEE Network Operations and Management Symposium, 2025

2024

KubeTwin: A Digital Twin Framework for Kubernetes Deployments at Scale.

Davide Borsatti, Walter Cerroni, Luca Foschini, Genady Ya. Grabarnik, Lorenzo Manca, Filippo Poltronieri, Domenico Scotece, Larisa Shwartz, Cesare Stefanelli, Mauro Tortonesi, Mattia Zaccarini

IEEE Trans. Netw. Serv. Manag., August, 2024

The Evolution of Kubernetes Management: Introducing the KubeTwin Framework.

Mattia Zaccarini, Mauro Tortonesi, Filippo Poltronieri

Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

Efficient Microservice Deployment in Kubernetes Multi-Clusters through Reinforcement Learning.

José Santos, Mattia Zaccarini, Filippo Poltronieri, Mauro Tortonesi, Cesare Sleianelli, Nicola Di Cicco, Filip De Turck

Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

TELKA: Twin-Enhanced Learning for Kubernetes Applications.

Mattia Zaccarini, Davide Borsatti, Walter Cerroni, Luca Foschini, Genady Ya. Grabarnik, Lorenzo Manca, Filippo Poltronieri, Domenico Scotece, Larisa Shwartz, Cesare Stefanelli, Mauro Tortonesi

Proceedings of the IEEE Symposium on Computers and Communications, 2024

VOICE: Value-of-Information for Compute Continuum Ecosystems.

Mattia Zaccarini, Benedetta Cantelli, Maria Fazio, William Fornaciari, Filippo Poltronieri, Cesare Stefanelli, Mauro Tortonesi

Proceedings of the 27th Conference on Innovation in Clouds, Internet and Networks, 2024

Multi-Objective Scheduling and Resource Allocation of Kubernetes Replicas Across the Compute Continuum.

Nicola Di Cicco, Filippo Poltronieri, José Santos, Mattia Zaccarini, Mauro Tortonesi, Cesare Stefanelli, Filip De Turck

Proceedings of the 20th International Conference on Network and Service Management, 2024

2023

Reinforcement Learning vs. Computational Intelligence: Comparing Service Management Approaches for the Cloud Continuum.

Filippo Poltronieri, Cesare Stefanelli, Mauro Tortonesi, Mattia Zaccarini

Future Internet, 2023

Learning to Sail Dynamic Networks: The MARLIN Reinforcement Learning Framework for Congestion Control in Tactical Environments.

Raffaele Galliera, Mattia Zaccarini, Alessandro Morelli, Roberto Fronteddu, Filippo Poltronieri, Niranjan Suri, Mauro Tortonesi

Proceedings of the IEEE Military Communications Conference, 2023

Modeling Digital Twins of Kubernetes-Based Applications.

Davide Borsatti, Walter Cerroni, Luca Foschini, Genady Ya. Grabarnik, Filippo Poltronieri, Domenico Scotece, Larisa Shwartz, Cesare Stefanelli, Mauro Tortonesi, Mattia Zaccarini

Proceedings of the IEEE Symposium on Computers and Communications, 2023

Characterization of Microservice Response Time in Kubernetes: A Mixture Density Network Approach.

Lorenzo Manca, Davide Borsatti, Filippo Poltronieri, Mattia Zaccarini, Domenico Scotece, Gianluca Davoli, Luca Foschini, Genady Ya. Grabarnik, Larisa Shwartz, Cesare Stefanelli, Mauro Tortonesi, Walter Cerroni

Proceedings of the 19th International Conference on Network and Service Management, 2023

Using Simulation and DT to Improve Performance of Systems Operation Modeling.

Genady Ya. Grabarnik, Filippo Poltronieri, Mauro Tortonesi, Mattia Zaccarini, Larisa Shwartz

Proceedings of the 33rd Annual International Conference on Computer Science and Software Engineering, 2023

2022

Enabling Adaptive Communications at the Tactical Edge.

Christoph Barz, Eelco Cramer, Roberto Fronteddu, Mariann Hauge, Kelvin Marcus, Jan Nilsson, Filippo Poltronieri, Mauro Tortonesi, Niranjan Suri, Mattia Zaccarini

Proceedings of the IEEE Military Communications Conference, 2022