ANOMALY DETECTION IN DATA CENTERS
First Claim
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1. A method of anomaly detection in data centers, comprising:
- analyzing time series data for the data center by testing statistical hypotheses;
constructing upper and lower bounds based on the statistical hypotheses; and
flagging anomalies in the time series data falling outside of the upper and lower bounds.
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Abstract
Systems and methods of anomaly detection in data centers. An example method may include analyzing time series data for the data center by testing statistical hypotheses. The method may also include constructing upper and lower bounds based on the statistical hypotheses. The method may also include flagging anomalies in the time series data falling outside of the upper and lower bounds.
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Citations
20 Claims
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1. A method of anomaly detection in data centers, comprising:
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analyzing time series data for the data center by testing statistical hypotheses; constructing upper and lower bounds based on the statistical hypotheses; and flagging anomalies in the time series data falling outside of the upper and lower bounds. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A system for anomaly detection in data centers, the system comprising program code stored on non-transient computer-readable media and executable by a processor to:
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analyze time series data by testing statistical hypotheses; construct upper and lower bounds based on the statistical hypotheses; and flag anomalies in the time series data based on the upper and lower bounds. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20)
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Specification