Anomaly Detection using Autoencoders in High Performance Computing Systems

13 Nov 2018Andrea BorghesiAndrea BartoliniMichele LombardiMichela MilanoLuca Benini

Anomaly detection in supercomputers is a very difficult problem due to the big scale of the systems and the high number of components. The current state of the art for automated anomaly detection employs Machine Learning methods or statistical regression models in a supervised fashion, meaning that the detection tool is trained to distinguish among a fixed set of behaviour classes (healthy and unhealthy states)... (read more)

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