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US 2014/0153396 A1Published application
Detecting outliers in network traffic time series
AssigneeRiverbed Technology, Inc.
InventorsPrem K. Gopalan, Bryan Thomas Elverson
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Abstract
According to an aspect of the invention, a system and method is configured to detect time series outliers in network traffic.
Claims20
A computer-implemented method, comprising:
- identifying, by computer, an outlier for a network traffic metric if observed network traffic is outside of a prediction interval during a time period;
- and
- identifying an anomaly for the network traffic metric only when a count of outliers for the network traffic metric identified during the time period is greater than or equal to two, and exceeds an anomaly threshold for the network traffic metric.
A non-transitory computer-readable storage medium storing instructions that, when executed by a computer, cause the computer to perform a method comprising:
- Identifying an outlier for a network traffic metric if observed network traffic is outside of a prediction interval during a time period;
- and
- identifying an anomaly for the network traffic metric only when a count of outliers for the network traffic metric identified during the time period is greater than or equal to two, and exceeds an anomaly threshold for the network traffic metric.
An apparatus, comprising:
- a processor;
- and
- a storage medium storing instructions that, when executed by the processor, cause the apparatus to perform a method comprising:
- identifying an outlier for a network traffic metric if observed network traffic is outside of a prediction interval during a time period;
- and
- identifying an anomaly for the network traffic metric only when a count of outliers for the network traffic metric identified during the time period is greater than or equal to two, and exceeds an anomaly threshold for the network traffic metric.
3 more elements
Dependencies are inferred from the claim text.