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

Overview of attention for article published in IEEE Access, October 2020

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Mentioned by

twitter: 4 X users

facebook: 1 Facebook page

Readers on

mendeley: 24 Mendeley

So far, Altmetric has seen 4 X posts from 4 X users, with an upper bound of 18,187 followers.

RT @IEEEAccess: A new study analyzes the trade-off between #AnomalyDetection based on performance signatures and system scalability for net…

A new study analyzes the trade-off between #AnomalyDetection based on performance signatures and system scalability for networked systems. Read more in this IEEE Access “Article of the Week.” #IEEEAccess #security https://t.co/Zd9TU7AOkz

Improving Predictability of User-Affecting Metrics to Support Anomaly Detection in Cloud... https://t.co/D6P89XxtVr https://t.co/7Fkv6mhjwO

Improving Predictability of User-Affecting Metrics to Support Anomaly Detection in Cloud Services. (arXiv:2012.1342… https://t.co/gxTGeu1HsN

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