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arXiv · 2311.16129

Dataset for Investigating Anomalies in Compute Clusters

Diana McSpadden·Yasir Alanazi·Bryan Hess·Laura Hild·Mark Jones·Yiyang Lub·Ahmed Mohammed·Wesley Moore·Jie Ren·Malachi Schram·Evgenia Smirni
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Abstract

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.

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Diana McSpadden, Yasir Alanazi, Bryan Hess, Laura Hild, Mark Jones, Yiyang Lub, Ahmed Mohammed, Wesley Moore, Jie Ren, Malachi Schram, Evgenia Smirni. 2023-10-31. Dataset for Investigating Anomalies in Compute Clusters. https://doi.org/10.5281/zenodo.10058230

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