System and method for proactively healing a mainframe computer system
Abstract:
A system and method for generating a data set structured for recognition of time series data by a machine learning computer are provided. The method includes acquiring time series data, generating tensor units based on the time series data, and identifying a target tensor unit including a time of failure of a mainframe computer system. The method further includes generating tensor sets, in which at least one tensor set includes the target tensor unit. The generated tensor sets are then migrated to a machine learning computer for generating or updating of a computer model based on the time series data, the computer model recognizing a data pattern preceding the time of failure of the mainframe computer system. The computer model is then applied to data in a production environment for identifying a production data pattern corresponding to a data pattern recognized in the tensor sets.
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