System and method for machine learning-temperature forecasting for automated tiering within a cloud storage system
US12236123B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 5, 2023 |
| Grant date | Feb 25, 2025 |
| Priority date | — |
| Expiry date | Sep 21, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F3/0685
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, computer program product, and computing system for forecasting a future temperature for a storage object within a multi-tiered cloud storage system. A cost associated with modifying a tiering of the storage object within the multi-tiered cloud storage system is determined based upon, at least in part, the future temperature forecasted for the storage object. The storage object is tiered in the multi-tiered cloud storage system based upon, at least in part, the cost associated with modifying the tiering of the storage object and a tiering policy associated with the multi-tiered cloud storage system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.