Modeling storage system performance
US9514022B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 18, 2011 |
| Grant date | Dec 6, 2016 |
| Priority date | — |
| Expiry date | Apr 16, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F11/3485
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method for creating an accurate black-box model of a live storage system and for predicting performance of the storage system under a given workload is disclosed. An analytics engine determines a subset of counters that are relevant to performance of the storage system with respect to a particular output (e.g., throughput or latency) from performance data in counters of the storage system. Using the subset of counters, the analytics engine creates a workload signature for the storage system by using a recursive partitioning technique, such as a classification and regression tree. The analytics engine then creates the black-box model of the storage system performance by applying uncertainty measurement techniques, such as a Gaussian process, to the workload signature.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.