Using machine learning to improve input/output performance of an application
US10771580B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 14, 2019 |
| Grant date | Sep 8, 2020 |
| Priority date | — |
| Expiry date | Mar 14, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F11/3409
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In some examples, a computing device may determine that a selected application is executing and gather, over a predetermined time interval, data associated with operations being performed to the input/output stack by the selected application. After gathering the data, a classifier may analyze the data and determine a particular workload type from a predefined set of workload types associated with the selected application. The computing device may select a particular profile from a plurality of predefined profiles based at least in part on the particular workload type, and modify, based on the particular profile, a plurality of parameters to create a plurality of modified parameters. The modified parameters may reduce an execution time of performing the operations to the input/output stack.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.