Collaborative Automated System for Intelligent Storage Forecasting and Abend Handling
AssigneeBank of America Corporation
InventorKarthikeya Venkata Sastry Meduri
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AssigneeBank of America Corporation
InventorKarthikeya Venkata Sastry Meduri
Estimating the term…
Aspects of the disclosure relate to using machine learning models to automatically forecast amounts of storage to allocate to databases. A computing system may retrieve database state data that indicates states of databases. Based on inputting the database state data into machine learning models, average storage usage thresholds and peak storage usage thresholds may be determined for the databases. The average storage thresholds may indicate an average amount of storage used by the databases. The peak storage usage thresholds may indicate an amount of storage that is allocatable without causing an abnormal termination. Based on inputting the database state data, the average storage usage threshold, and the peak storage usage threshold into the machine learning models, a forecasted amount of additional storage to allocate to the databases to prevent abnormal termination of the database may be determined. Further, the additional storage may be allocated based on configurations of each database.
A computing system for forecasting storage allocation, the computing system comprising:
A method of forecasting storage allocation, the method comprising:
One or more non-transitory computer-readable comprising instructions that, when executed by a computing platform comprising at least one processor, a communication interface, and memory, cause the computing platform to:
Dependencies are inferred from the claim text.