Mohsen Seyedkazemi Ardebili

According to our database, Mohsen Seyedkazemi Ardebili authored at least 28 papers between 2019 and 2026.

Collaborative distances:

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

2026

KubeIntellect: A Modular LLM-Orchestrated Agent Framework for End-to-End Kubernetes Management.

Mohsen Seyedkazemi Ardebili, Andrea Bartolini

J. Grid Comput., September, 2026

DECICE: AI-Driven Scheduling and Digital Twin Integration for the Cloud-HPC-Edge Compute Continuum.

Aasish Kumar Sharma, Felix Stein, Mirac Aydin, Michael Bidollahkhani, Sachin P. Nanavati, Mohsen Seyedkazemi Ardebili, Giorgi Mamulashvili, Mojtaba Akbari, Jonathan Decker, Zoya Masih, Julian M. Kunkel

CoRR, May, 2026

Elevating Datacenter Resilience with ThermADNet: A Thermal Anomaly Detection System.

Mohsen Seyedkazemi Ardebili, Andrea Acquaviva, Luca Benini, Andrea Bartolini

Future Gener. Comput. Syst., 2026

2024

GRAAFE: GRaph Anomaly Anticipation Framework for Exascale HPC systems.

Martin Molan, Mohsen Seyedkazemi Ardebili, Junaid Ahmed Khan, Francesco Beneventi, Daniele Cesarini, Andrea Borghesi, Andrea Bartolini

Future Gener. Comput. Syst., 2024

HazardNet: A thermal hazard prediction framework for datacenters.

Mohsen Seyedkazemi Ardebili, Andrea Acquaviva, Luca Benini, Andrea Bartolini

Future Gener. Comput. Syst., 2024

2023

PM100: A Job Power Consumption Dataset of a Large-Scale HPC System.

Francesco Antici, Mohsen Seyedkazemi Ardebili, Andrea Bartolini, Zeynep Kiziltan

Dataset, November, 2023

Dataset of the HazardNet: A Thermal Hazard Prediction Framework for Datacenters.

Mohsen Seyedkazemi Ardebili, Andrea Acquaviva, Luca Benini, Andrea Bartolini

Dataset, October, 2023

PM100: A Job Power Consumption Dataset of a Large-Scale HPC System.

Francesco Antici, Mohsen Seyedkazemi Ardebili, Andrea Bartolini, Zeynep Kiziltan

Dataset, October, 2023

PM100: A Job Power Consumption Dataset of a Large-Scale HPC System.

Francesco Antici, Mohsen Seyedkazemi Ardebili, Andrea Bartolini, Zeynep Kiziltan

Dataset, July, 2023

M100 dataset 12: 22-09.

Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini

Dataset, January, 2023

M100 dataset 11: 22-08.

Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini

Dataset, January, 2023

M100 dataset 10: 22-07.

Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini

Dataset, January, 2023

M100 dataset 9: 22-06.

Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini

Dataset, January, 2023

M100 dataset 8: 22-05.

Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini

Dataset, January, 2023

M100 dataset 7: 22-04.

Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini

Dataset, January, 2023

M100 dataset 6: 22-03.

Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini

Dataset, January, 2023

M100 dataset 5: from 22-01 to 22-02.

Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini

Dataset, January, 2023

M100 dataset 4: from 21-10 to 21-12.

Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini

Dataset, January, 2023

M100 dataset 3: from 21-07 to 21-09.

Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini

Dataset, January, 2023

M100 dataset 2: from 21-01 to 21-06.

Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini

Dataset, January, 2023

M100 dataset 1: from 20-03 to 20-12.

Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini

Dataset, January, 2023

M100 dataset: time-aggregated data for anomaly detection.

Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini

Dataset, January, 2023

PM100: A Job Power Consumption Dataset of a Large-scale Production HPC System.

Francesco Antici, Mohsen Seyedkazemi Ardebili, Andrea Bartolini, Zeynep Kiziltan

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

2022

Monitoring and Prediction of Thermal Emergencies in High Performance Computing Systems.

Mohsen Seyedkazemi Ardebili

PhD thesis, 2022

Rule-Based Thermal Anomaly Detection for Tier-0 HPC Systems.

Mohsen Seyedkazemi Ardebili, Andrea Bartolini, Andrea Acquaviva, Luca Benini

Proceedings of the High Performance Computing. ISC High Performance 2022 International Workshops - Hamburg, Germany, May 29, 2022

Multi-level anomaly prediction in Tier-0 datacenter: a deep learning approach.

Mohsen Seyedkazemi Ardebili, Andrea Bartolini, Luca Benini

Proceedings of the CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17, 2022

2021

Prediction of Thermal Hazards in a Real Datacenter Room Using Temporal Convolutional Networks.

Mohsen Seyedkazemi Ardebili, Marcello Zanghieri, Alessio Burrello, Francesco Beneventi, Andrea Acquaviva, Luca Benini, Andrea Bartolini

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2019

Thermal Characterization of a Tier0 Datacenter Room in Normal and Thermal Emergency Conditions.

Mohsen Seyedkazemi Ardebili, Carlo Cavazzoni, Luca Benini, Andrea Bartolini

Proceedings of the High Performance Computing in Science and Engineering, 2019