Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

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

Vilc Queupe Rufino et al. (2020)

> Home

Details and statistics

DOI: 10.1109/ACCESS.2020.3028571

access: open

type: Journal Article

metadata version: 2020-12-31

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/access/RufinoNAMRJFHSL20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/access/RufinoNAMRJFHSL20
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)

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.