Adaptive thresholding of data streamed to a data processing pipeline
AssigneeSplunk Inc.
InventorsIan Edward Torbett, Lila Fridley, Tristan Antonio Fletcher, Ayyappa Muthusami, Tanner Gilligan
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AssigneeSplunk Inc.
InventorsIan Edward Torbett, Lila Fridley, Tristan Antonio Fletcher, Ayyappa Muthusami, Tanner Gilligan
Estimating the term…
Systems and methods are described for performing adaptive thresholding on key performance indicator (KPI) values using an online machine learning algorithm as the KPI values or the data from which the KPI values are derived is being ingested. For example, the system can identify outliers in a moving window of KPI values. To implement the adaptive thresholding, the system may identify seasonality and/or trend components in historical KPI values. When a new KPI value is obtained, the system may remove the identified seasonality and/or trend components from the KPI value, and determine whether the modified KPI value is an outlier using sketches or quantiles. The system can then repeat this process for each subsequently received KPI value.
A computer-implemented method comprising:
A system comprising:
Non-transitory computer-readable media including computer-executable instructions that, when executed by a computing system, cause the computing system to:
Dependencies are inferred from the claim text.