Determining capacity in storage systems using machine learning techniques
US11513938B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 30, 2019 |
| Grant date | Nov 29, 2022 |
| Priority date | — |
| Expiry date | Mar 25, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F3/067
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, apparatus, and processor-readable storage media for determining capacity in storage systems using machine learning techniques are provided herein. An example computer-implemented method includes obtaining capacity-related data from a storage system; forecasting, for a given temporal period, capacity of one or more storage objects of the storage system by applying machine learning techniques to at least a portion of the capacity-related data; aggregating the forecasted capacity for at least portions of the one or more storage objects; determining, based on the aggregated forecasted capacity of the storage objects, whether at least a portion of the storage system will run out of capacity in connection with the given temporal period; and performing one or more automated actions based at least in part on the determination as to whether the at least a portion of the at least one storage system will run out of capacity.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.