Time Based Correlation Of Time Series For Root Cause Analysis
AssigneeDynatrace LLC
InventorsThomas NATSCHLAEGER, Katrin Leberfinger, Damian Bogdanowicz, Michael Altenhuber
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AssigneeDynatrace LLC
InventorsThomas NATSCHLAEGER, Katrin Leberfinger, Damian Bogdanowicz, Michael Altenhuber
Estimating the term…
The disclosure concerns the time-based correlation of time series for the root cause analysis of application monitoring data, observability data, and data observability data in the field of application monitoring and observability. The object of the disclosure is to find at least one candidate time series that has a high chance/probability for causing an event in a reference time series. The method shall be time-based and not frequency based. The method includes: constructing a simplified reference time series retaining changes in the reference time series and setting other points to zero; constructing a simplified candidate time series retaining changes in the candidate time series and setting other points to zero; calculating a similarity metric between the simplified candidate time series and the simplified reference time series; and reporting an occurrence of a computing event in response to the similarity metric exceeding a threshold value.
A computer-implemented method for identifying occurrence of a computing event in a distributed computing environment, comprising:
A computer-implemented method for identifying occurrence of an event in a distributed computing environment, comprising:
Dependencies are inferred from the claim text.