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Found 3 papers, 2 papers with code
On the Fly Detection of Root Causes from Observed Data with Application to IT Systems
This paper introduces a new structural causal model tailored for representing threshold-based IT systems and presents a new algorithm designed to rapidly detect root causes of anomalies in such systems.
Case Studies of Causal Discovery from IT Monitoring Time Series
Despite its potential benefits, applying causal discovery algorithms on IT monitoring data poses challenges, due to the complexity of the data.
Root Cause Identification for Collective Anomalies in Time Series given an Acyclic Summary Causal Graph with Loops
Finally, it shows, how the rest of the root causes can be found by comparing direct effects in the normal and in the anomalous regime.
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