Machine learning-based, system-wide solid-state drive wear-level balancing algorithm to extend the service life of solid-state drives
US12164418B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 23, 2022 |
| Grant date | Dec 10, 2024 |
| Priority date | — |
| Expiry date | Mar 28, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2212/7211
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
SSD service life is extended by monitoring wear-level and prompting relocation of unstable data out of SSDs that have reached a soft wear-level threshold such that those SSDs do not contain unstable data when those SSDs reach a hard wear-level threshold. The progression of SSD wear-level is forecasted using an ARIMA algorithm. Unstable data on SSDs between predicted times of reaching the soft and hard thresholds is replaced by stable data from SSDs that have not reached the soft wear-level threshold. The stable data may be snapshot data and deduplicated data and deduplication hashes characterized based on number of references. SSDs that reach the hard threshold without unstable data can remain in service for read IOs until being replaced.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.