Determining policy regions of high-speed memory of a storage engine
US11650763B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 11, 2022 |
| Grant date | May 16, 2023 |
| Priority date | — |
| Expiry date | Apr 11, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
IO traces on a high-speed memory that provides temporary storage for multiple storage volumes are stored in a trace buffer. IO operations on different storage volume are considered separate workloads on the high-speed memory. Periodically, the IO traces are processed to extract workload features for each workload. The workload features are stored in a feature matrix, and the workload features from multiple IO trace buffer processing operations are aggregated over time. A HDBSCAN unsupervised clustering machine learning process is used to create a set of four workload clusters and an outlier cluster. A dominant feature of each workload cluster is used to set a policy for the workload cluster. IO percentages for clusters with the same policies are used to set minimum sizes for policy regions in the high-speed memory. Histograms based on the workloads are used to determine segmentation rules specifying slot sizes for the policy regions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.