US 2019/0317916 A1 · UTILIZING MACHINE LEARNING TO DETERMINE DATA STORAGE PRUNING PARAMETERS

Abstract

A device receives, from a user device, a request to prune a primary database, and receives primary database information associated with the primary database and secondary database information associated with a secondary database that is different than the primary database. The device processes the primary database information and the secondary database information, with a machine learning model, to generate suggested pruning parameters, and provides the suggested pruning parameters to the user device. The device receives selected pruning parameters from the user device, where the selected pruning parameters are selected from the suggested pruning parameters or are input via the user device. The device removes pruned information from the primary database based on the selected pruning parameters, and provides the pruned information to the secondary database based on the selected pruning parameters.

Claims20

Dependent claims

A method, comprising:

removing, by a device, first data from primary database based on one or more pruning parameters;
providing, by the device, the first data to a secondary database based on the one or more pruning parameters;
determining, by the device and based on a pattern identified from historical access to the first data, a predicted point in time associated with the first data,
the historical access to the first data including at least one of:
historical access to the first data when the first data was stored in the primary database, or
historical access to the first data when the first data was stored in the secondary database;
removing, by the device, the first data from the secondary database prior to the predicted point in time;
and
providing, by the device, the first data to the primary database prior to the predicted point in time.

6 more elements

A non-transitory computer-readable medium storing instructions, the instructions comprising:

one or more instructions that, when executed by one or more processors, cause the one or more processors to:
remove first data from primary database based on one or more pruning parameters;
provide the first data to a secondary database based on the one or more pruning parameters;
determine, based on a pattern identified from historical access to the first data, a predicted point in time associated with the first data,
the historical access to the first data including at least one of:
historical access to the first data when the first data was stored in the primary database, or
historical access to the first data when the first data was stored in the secondary database;
remove the first data from the secondary database prior to the predicted point in time;
and
provide the first data to the primary database prior to the predicted point in time.

7 more elements

Dependencies are inferred from the claim text.

Utilizing machine learning to determine data storage pruning parameters

Life of this patent

Utilizing machine learning to determine data storage pruning parameters

Life of this patent

Abstract

Claims20