The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Nov. 09, 2021
Filed:
Apr. 09, 2018
Micro Focus Software Inc., Wilmington, DE (US);
Jeremy Ray Brown, Bluffdale, UT (US);
Jason Allen Sabin, Lehi, UT (US);
Nathaniel Brent Kranendonk, Springville, UT (US);
Kal A. Larsen, Springville, UT (US);
Lloyd Leon Burch, Payson, UT (US);
Michael Fairbanks, Lindon, UT (US);
Michael John Jorgensen, Mapleton, UT (US);
Thomas Larry Biggs, Payson, UT (US);
Micro Focus Software Inc., Wilmington, DE (US);
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.