Giacomo Lanciano

According to our database, Giacomo Lanciano authored at least 23 papers between 2017 and 2024.

Collaborative distances:

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

2024

Extending OpenStack Monasca for Predictive Elasticity Control.

Giacomo Lanciano, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella

Big Data Min. Anal., 2024

2023

Archival bundle of the code used for "Extending OpenStack Monasca for Predictive Elasticity Control".

Giacomo Lanciano, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella

Dataset, June, 2023

Archival bundle of the code used for "A 2-phase Strategy For Intelligent Cloud Operations".

Giacomo Lanciano, Remo Andreoli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella

Dataset, May, 2023

Archival bundle of the data used for "A 2-phase Strategy For Intelligent Cloud Operations".

Giacomo Lanciano, Remo Andreoli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella

Dataset, May, 2023

A 2-Phase Strategy for Intelligent Cloud Operations.

Giacomo Lanciano, Remo Andreoli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella

IEEE Access, 2023

Analyzing Declarative Deployment Code with Large Language Models.

Giacomo Lanciano, Manuel Stein, Volker Hilt, Tommaso Cucinotta

Proceedings of the 13th International Conference on Cloud Computing and Services Science, 2023

2022

Archival bundle of the code used for "Extending OpenStack Monasca for Predictive Elasticity Control".

Giacomo Lanciano, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella

Dataset, May, 2022

Archival bundle of the code used for "A 2-phase Strategy For Intelligent Cloud Operations".

Giacomo Lanciano, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella

Dataset, May, 2022

Archival bundle of the data used for "A 2-phase Strategy For Intelligent Cloud Operations".

Giacomo Lanciano, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella

Dataset, May, 2022

Archival bundle of the data used for "Extending OpenStack Monasca for Predictive Elasticity Control".

Giacomo Lanciano, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella

Dataset, January, 2022

Archival bundle of the code used for "Extending OpenStack Monasca for Predictive Elasticity Control".

Giacomo Lanciano, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella

Dataset, January, 2022

Archival bundle of the data used for "Extending OpenStack Monasca for Predictive Elasticity Control".

Giacomo Lanciano, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella

Dataset, January, 2022

2021

Archival bundle of the code used for "Predictive Auto-scaling with OpenStack Monasca" (UCC 2021).

Giacomo Lanciano, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella

Dataset, October, 2021

Archival bundle of the code used for "Predictive Auto-scaling with OpenStack Monasca" (UCC 2021).

Giacomo Lanciano, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella

Dataset, October, 2021

Archival bundle of the data used for "Predictive Auto-scaling with OpenStack Monasca" (UCC 2021).

Giacomo Lanciano, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella

Dataset, October, 2021

Predictive auto-scaling with OpenStack Monasca.

Giacomo Lanciano, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella

Proceedings of the UCC '21: 2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing, Leicester, United Kingdom, December 6, 2021

Forecasting Operation Metrics for Virtualized Network Functions.

Tommaso Cucinotta, Giacomo Lanciano, Antonio Ritacco, Fabio Brau, Filippo Galli, Vincenzo Iannino, Marco Vannucci, Antonino Artale, João Barata, Enrica Sposato

Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

2020

XPySom: High-Performance Self-Organizing Maps.

Riccardo Mancini, Antonio Ritacco, Giacomo Lanciano, Tommaso Cucinotta

Proceedings of the 32nd IEEE International Symposium on Computer Architecture and High Performance Computing, 2020

SOM-based behavioral analysis for virtualized network functions.

Giacomo Lanciano, Antonio Ritacco, Tommaso Cucinotta, Marco Vannucci, Antonino Artale, Luca Basili, Enrica Sposato, João Barata

Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Using Self-Organizing Maps for the Behavioral Analysis of Virtualized Network Functions.

Giacomo Lanciano, Antonio Ritacco, Fabio Brau, Tommaso Cucinotta, Marco Vannucci, Antonino Artale, João Barata, Enrica Sposato

Proceedings of the Cloud Computing and Services Science - 10th International Conference, 2020

Behavioral Analysis for Virtualized Network Functions: A SOM-based Approach.

Tommaso Cucinotta, Giacomo Lanciano, Antonio Ritacco, Marco Vannucci, Antonino Artale, João Barata, Enrica Sposato, Luca Basili

Proceedings of the 10th International Conference on Cloud Computing and Services Science, 2020

2018

Aligning Partially-Ordered Process-Execution Traces and Models Using Automated Planning.

Massimiliano de Leoni, Giacomo Lanciano, Andrea Marrella

Proceedings of the Twenty-Eighth International Conference on Automated Planning and Scheduling, 2018

2017

A Tool for Aligning Event Logs and Prescriptive Process Models through Automated Planning.

Massimiliano de Leoni, Giacomo Lanciano, Andrea Marrella

Proceedings of the BPM Demo Track and BPM Dissertation Award co-located with 15th International Conference on Business Process Modeling (BPM 2017), 2017