Data set for anomaly detection on a HPC system

This data set contains the data collected on the DAVIDE HPC system (CINECA & E4 & University of Bologna, Bologna, Italy) in the period March-May 2018. The data set has been used to train a autoencoder-based model to automatically detect anomalies in a semi-supervised fashion, on a real HPC system. This work is described in: 1) "Anomaly Detection using Autoencoders in High Performance Computing Systems", Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini, IAAI19 (proceedings in process) -- https://arxiv.org/abs/1902.08447 2) "Online Anomaly Detection in HPC Systems", Andrea Borghesi, Antonio Libri, Luca Benini, Andrea Bartolini, AICAS19 (proceedings in process) -- https://arxiv.org/abs/1811.05269 See the git repository for usage examples & details --> https://github.com/AndreaBorghesi/anomaly_detection_HPC本数据集包含2018年3月至5月期间，在由意大利博洛尼亚的CINECA、E4与博洛尼亚大学联合运维的DAVIDE高性能计算（High Performance Computing, HPC）系统上采集的原始数据。本数据集曾被用于训练基于自编码器（autoencoder）的模型，以半监督（semi-supervised）学习范式在真实高性能计算系统中实现异常的自动检测。该数据集相关研究成果已在以下两篇学术论文中详细阐述：1. 《基于自编码器的高性能计算系统异常检测（Anomaly Detection using Autoencoders in High Performance Computing Systems）》，作者为Andrea Borghesi、Andrea Bartolini、Michele Lombardi、Michela Milano、Luca Benini，发表于IAAI19会议（会议论文待刊）——https://arxiv.org/abs/1902.08447；2. 《高性能计算系统在线异常检测（Online Anomaly Detection in HPC Systems）》，作者为Andrea Borghesi、Antonio Libri、Luca Benini、Andrea Bartolini，发表于AICAS19会议（会议论文待刊）——https://arxiv.org/abs/1811.05269。如需获取使用示例与详细说明，请查阅该GitHub代码仓库：https://github.com/AndreaBorghesi/anomaly_detection_HPC