US 12,032,470 B2
Dynamic cloud based alert and threshold generation
Hari Bhaskar Sankaranarayanan, Bangalore (IN); and Dwijen Bhattacharjee, Karnataka (IN)
Assigned to Oracle International Corporation, Redwood Shores, CA (US)
Filed by Oracle International Corporation, Redwood Shores, CA (US)
Filed on Nov. 17, 2021, as Appl. No. 17/528,692.
Prior Publication US 2023/0153223 A1, May 18, 2023
Int. Cl. G06F 11/00 (2006.01); G06F 11/07 (2006.01); G06F 11/34 (2006.01); G06F 18/214 (2023.01); G06N 3/04 (2023.01)
CPC G06F 11/3457 (2013.01) [G06F 11/0709 (2013.01); G06F 11/0769 (2013.01); G06F 18/214 (2023.01); G06N 3/04 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method of monitoring for faults in a cloud based network for a plurality of features comprising an application and dependent features, the method comprising:
generating a graphical representation of the plurality of features comprising a plurality of nodes and corresponding relationships between the nodes, each node corresponding to one of the plurality of features;
monitoring for events for the plurality of features, the events corresponding to one or more of the nodes, to generate monitored events;
populating a graph database with the monitored events;
training a graph neural network (GNN) using a training dataset derived from the monitoring and the populating;
classifying each of the nodes with the trained GNN, the classification comprises a prediction of a failure of at least one node;
based on the classifying, for a first failure node corresponding to the prediction, automatically revising a threshold for an existing alert for the first failure node; and
retraining the trained GNN using the revised threshold for the existing alert.