Elevating Datacenter Resilience with ThermADNet: A Thermal Anomaly Detection System
Open Access
- 19 December 2025
- journal article
- Published by Elsevier in Future Generation Computer Systems
- Vol. 179
Abstract
No abstract availableFunding Information
- Horizon Europe
- European Commission (101033975)
- European High Performance Computing Joint Undertaking (101034126)
- International Council of Shopping Centers
This publication has 18 references indexed in Scilit:
- Harnessing federated learning for anomaly detection in supercomputer nodesFuture Generation Computer Systems, 2024
- RUAD: Unsupervised anomaly detection in HPC systemsFuture Generation Computer Systems, 2022
- Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research DirectionsSN Computer Science, 2021
- A machine learning approach to online fault classification in HPC systemsFuture Generation Computer Systems, 2020
- A semisupervised autoencoder-based approach for anomaly detection in high performance computing systemsEngineering Applications of Artificial Intelligence, 2019
- Performance enhancing techniques for deep learning models in time series forecastingEngineering Applications of Artificial Intelligence, 2019
- Multiscale Thermal Management of Computing Systems - The MULTITHERMAN approachIFAC-PapersOnLine, 2017
- Runtime data center temperature prediction using Grammatical Evolution techniquesApplied Soft Computing, 2016
- Cooling solutions in an operational data centre: A case studyApplied Thermal Engineering, 2011
- Measurements and predictions of the air distribution systems in high compute density (Internet) data centersEnergy and Buildings, 2009