The dataset was collected for 332 compute nodes throughout May 19 - 23, 2023. May 19 - 22 characterizes normal compute cluster behavior, while May 23 includes an anomalous event. The dataset includes eight CPU, 11 disk, 47 memory, and 22 Slurm metrics. It represents five distinct hardware configurations and contains over one million records, totaling more than 180GB of raw data.
Cite
@article{arxiv.2311.16129,
title = {Dataset for Investigating Anomalies in Compute Clusters},
author = {Diana McSpadden and Yasir Alanazi and Bryan Hess and Laura Hild and Mark Jones and Yiyang Lub and Ahmed Mohammed and Wesley Moore and Jie Ren and Malachi Schram and Evgenia Smirni},
journal= {arXiv preprint arXiv:2311.16129},
year = {2023}
}
Comments
Work utilizing the dataset was presented in a Research track poster at the Super Computing 2023 conference