Workload generation for optimal stress testing of big data management systems
US12124362B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 21, 2023 |
| Grant date | Oct 22, 2024 |
| Priority date | — |
| Expiry date | Jun 21, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F11/3692
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method, system and computer program product for optimally performing stress testing against big data management systems. A set of random test queries is generated and compiled to determine the data points of the features (e.g., table type being queried) of the set of random test queries. A distance (e.g., Mahalanobis distance) is then measured between the data points of the features and the mean of a distribution of data points corresponding to each same feature of an extracted feature set. Each random test query whose distance exceeds a threshold distance is then ranked. The ranked random test queries are then executed in order of rank. Those executed random test queries which resulted in an error (e.g., system failure) are added to a log, which is used to identify those queries to perform a stress test against the big data management system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.