Improving Predictability of User-Affecting Metrics to Support Anomaly Detection in Cloud Services - researchr publication authors

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Vilc Queupe Rufino, Mateus Schulz Nogueira, Alberto Avritzer, Daniel Sadoc Menasché, Barbara Russo, Andrea Janes, Vincenzo Ferme, André van Hoorn, Henning Schulz, Cabral Lima. Improving Predictability of User-Affecting Metrics to Support Anomaly Detection in Cloud Services. IEEE Access, 8:198152-198167, 2020. [doi]

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