Patent ID: 11899528
Assignee: VMWARE LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 9:
10. The system of claim 8 wherein using machine learning to construct the model comprises:
for each of the objects
determining a baseline distribution for an object based on events of the object that occurred in the historical time period,
determining an expected deviation from the baseline distribution of the object,
determining an event distribution for the object in the time window,
determining a distance between the baseline distribution and the event distribution, and
identifying the object as an outlier object when the distance is greater than the expected deviation;

monitoring key performance indicators (“KPIs”) of the objects for corresponding threshold violations;
applying a status label to the event distribution or significant events of the outlier objects in response to a corresponding KPI violating a corresponding threshold in the time window;
storing the status labels and corresponding event distributions or significant events in an operational status database; and
constructing a decision-tree model for identifying outlier objects based on the operational status database.