Data-agnostic adjustment of hard thresholds based on user feedback
AssigneeVMware, Inc.
InventorsNaira Movses Grigoryan, Mazda A. Marvasti, Arnak Poghosyan, Ashot Nshan Harutyunyan, Yanislav Yankov
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AssigneeVMware, Inc.
InventorsNaira Movses Grigoryan, Mazda A. Marvasti, Arnak Poghosyan, Ashot Nshan Harutyunyan, Yanislav Yankov
Estimating the term…
This disclosure is directed to data-agnostic computational methods and systems for adjusting hard thresholds based on user feedback. Hard thresholds are used to monitor time-series data generated by a data-generating entity. The time-series data may be metric data that represents usage of the data-generating entity over time. The data is compared with a hard threshold associated with usage of the resource or process and when the data violates the threshold, an alert is typically generated and presented to a user. Methods and systems collect user feedback after a number of alerts to determine the quality and significance of the alerts. Based on the user feedback, methods and systems automatically adjust the hard thresholds to better represent how the user perceives the alerts.
A method stored in one or more data-storage devices and executed using one or more processors of a computing environment to adjust hard thresholds based on user feedback, the method comprising:
A system to adjust a hard threshold of a data-generating entity comprising:
A non-transitory computer-readable medium encoded with machine-readable instructions that implement a method carried out by one or more processors of a computer system to perform the operations of
Dependencies are inferred from the claim text.