Benjamin C Randall

US Patent:

20190311293, Oct 10, 2019

Filed:

Jun 23, 2019

Appl. No.:

16/449418

Inventors:

- Armonk NY, US
Andrew J. Laforteza - Austin TX, US
Ryan D. Mcnair - Austin TX, US
Benjamin J. Randall - Fort Collins CO, US
Teresa S. Swingler - Tucson AZ, US

International Classification:

G06N 20/00
G06F 3/06

Abstract:

A method, system and computer product for performing storage maintenance is described. A training set for storage volume reclamation is received. The training set for storage volume reclamation contains sets of storage parameters for storage volumes and corresponding user decisions whether the storage volumes are reclaimable. The training set is used to train a machine learning system to recognize reclaimable candidate storage volumes. The trained machine learning system is used to determine that a candidate storage volume for reclamation is likely a reclaimable storage volume.

US Patent:

20170351968, Dec 7, 2017

Filed:

Jun 3, 2016

Appl. No.:

15/173562

Inventors:

- Armonk NY, US
Andrew J. Laforteza - Austin TX, US
Ryan D. Mcnair - Austin TX, US
Benjamin J. Randall - Fort Collins CO, US
Teresa S. Swingler - Tucson AZ, US

International Classification:

G06N 99/00
G06F 3/0481
G06F 3/06

Abstract:

A method, system and computer product for performing storage maintenance is described. A training set for storage volume reclamation is received. The training set includes a set of storage parameters, each set of storage parameters corresponds to a respective candidate storage volume of a set of candidate storage volumes. The training set also includes a set of user decisions made whether a respective candidate storage volume is reclaimable. The training set is used to train a machine learning system to recognize common features of reclaimable candidate storage volumes. A set of candidate storage volumes is provided for potential reclamation, each with a set of storage parameters. A graphical user interface presents respective members of the set of candidate storage volumes for reclamation if a confidence level is calculated that the respective candidate storage volume is reclaimable exceeds a threshold.