Efficient KPI Anomaly Detection Through Transfer Learning for Large-Scale Web Services
Timely anomaly detection of key performance indicators (KPIs), e.g. , service response time, error rate, is of utmost importance to Web services. Over the years, many unsupervised deep learning-based anomaly detection approaches have been proposed. To achieve good performance, they require a long pe...
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Veröffentlicht in: | IEEE journal on selected areas in communications 2022-08, Vol.40 (8), p.2440-2455 |
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