"Improving Predictability of User-Affecting Metrics to Support Anomaly ..."

Vilc Queupe Rufino et al. (2020)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2021-06-15

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2012-13423
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2012-13423
Vilc Queupe Rufino, Mateus Schulz Nogueira, Alberto Avritzer, Daniel S. 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. CoRR abs/2012.13423 (2020)

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