Apparatus and method for leveraging semi-supervised machine learning for self-adjusting policies in management of a computer infrastructure
US9772871B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jul 22, 2015 |
| Grant date | Sep 26, 2017 |
| Priority date | — |
| Expiry date | Jul 22, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments relate to a method for managing and analyzing a computer environment. The method includes receiving, by the host device, a set of data elements from at least one computer environment resource of the computer infrastructure, each data element of the set of data elements relating to an attribute of the at least one computer environment resource. The method includes applying a system analysis function to the set of data elements to characterize a dataset specification associated with the set of data elements. The method includes receiving, by the host device, a user-selected policy threshold criterion based on the dataset specification and providing the user-selected policy threshold criterion to the semi-supervised learning algorithm as a parameter. The method includes adjusting a boundary of the dataset specification of the set of data elements, as associated with the user-selected policy threshold criterion, based on a behavioral change of the computer infrastructure.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.