Using machine learning techniques to flow control clients in a deduplication file system
US11954533B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 16, 2021 |
| Grant date | Apr 9, 2024 |
| Priority date | — |
| Expiry date | Oct 13, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2209/504
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Detecting a trend in latency for storage underlying a deduplicated file system includes generating a set of data points by recording when input/output (IO) requests were issued to the storage and recording time required to receive success responses from the storage. Least squares regression is performed on the data points to find a best-fit line through the data points. A slope of the best-fit line is calculated. A determination is made as to whether the slope is positive, a positive slope thereby indicating a trend of increasing latency of the storage. When the slope is determined to be positive, clients accessing the deduplicated file system are throttled.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.