Is Your Anomaly Detector Ready for Change? Adapting AIOps Solutions to the Real World

arXiv:2311.10421v2 Announce Type: replace
Abstract: Anomaly detection techniques are essential in automating the monitoring of IT systems and operations. These techniques imply that machine learning algorithms are trained on operational data corresponding to a specific period of time and that they are continuously evaluated on newly emerging data. Operational data is constantly changing over time, which affects the performance of deployed anomaly detection models. Therefore, continuous model maintenance is required to preserve the performance of anomaly detectors over time. In …

abstract aiops algorithms anomaly anomaly detection arxiv change cs.lg cs.se data detection imply it systems machine machine learning machine learning algorithms monitoring operations solutions systems type world