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Dataset of the HazardNet: A Thermal Hazard Prediction Framework for Datacenters - MaRDI portal

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

From MaRDI portal



DOI10.5281/zenodo.10050368Zenodo10050368MaRDI QIDQ6725021

Dataset published at Zenodo repository.

Author name not available (Why is that?)

Publication date: 27 October 2023

Copyright license: No records found.



Description

This dataset entry showcases a comprehensive collection obtained from the Tier-0 supercomputer, Marconi A2, hosted at CINECA (https://www.hpc.cineca.it/). The dataset records inlet and outlet temperatures along with power consumption data from 3312 computing nodes, spanning from January 14, 2019, to December 31, 2019. The data is generated through ExaMon, a sophisticated monitoring datacenter infrastructure. The primary objective of this dataset is to support the research and development of HazardNet, an innovative thermal hazard prediction framework tailored specifically for datacenters. HazardNet integrates a comprehensive pipeline of machine-learning models. Researchers and enthusiasts interested in exploring our work further can find the complete set of codes and machine-learning models at our GitHub repository: https://github.com/MSKazemi/HazardNet






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