REAL-TIME ADAPTIVE OPERATIONS PERFORMANCE MANAGEMENT SYSTEM

原文（中国語）

Operations events received from different monitoring systems are transformed into a common event format having standardized fields including a source origin identifier, a source component identifier, a creation time, and event data. Frequency-time analysis is performed on the transformed Operations events by segmenting time-domain data into time bins and determining source origin counts for each time bin. Event clusters are identified based on time-frequency-space envelopes determined from the frequency-time analysis. Each event cluster is associated with resolution metrics including a time-to-resolve value and a number of responders required for resolution. A predictive model is trained using the event clusters and their associated resolution metrics. New incoming Operations events are grouped into a new event cluster. The trained predictive model is applied to the new event cluster to predict resolution requirements, and a remediation action is initiated based on the predicted resolution requirements.