System and method for distributed input/output (IO) performance forecasting across multiple machine learning models
US12333144B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 21, 2022 |
| Grant date | Jun 17, 2025 |
| Priority date | — |
| Expiry date | Jan 28, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F3/0607
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, computer program product, and computing system for processing a plurality of input/output (IO) operations on a plurality of storage objects of a storage system. The plurality of storage objects may be divided into a plurality of storage object groups based upon, at least in part, the plurality of IO operations processed on the plurality of storage objects. Each storage object group may be associated with an IO machine learning model selected from a plurality of IO machine learning models, thus defining a plurality of storage object group-specific IO machine learning models. IO performance data may be forecasted for the plurality of storage objects using the plurality of storage object group-specific IO machine learning models.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.