System and method for determining fuzzy cause and effect relationships in an intelligent workload management system
US9965724B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 27, 2013 |
| Grant date | May 8, 2018 |
| Priority date | — |
| Expiry date | Jan 13, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/0633
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The system and method for determining fuzzy cause and effect relationships in an intelligent workload management system described herein may combine potential causes and effects captured from various different sources associated with an information technology infrastructure with substantially instantaneous feedback mechanisms and other knowledge sources. As such, fuzzy correlation logic may then be applied to the combined information to determine potential cause and effect relationships and thereby diagnose problems and otherwise manage interactions that occur in the infrastructure. For example, information describing potential causes and potential effects associated with an operational state of the infrastructure may be captured and combined, and any patterns among the information that describes the multiple potential causes and effects may then be identified. As such, fuzzy logic may the be applied to any such patterns to determine possible relationships among the potential causes and the potential effects associated with the infrastructure operational state.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.