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.

Date of Patent:
Aug. 17, 2021

Filed:

Jan. 06, 2020
Applicant:

Sciencelogic, Inc., Reston, VA (US);

Inventors:

Richard Chart, Truro, GB;

Matthew Luebke, Front Royal, VA (US);

Karl Ginter, Beltsville, MD (US);

Michael Bartman, Potomac, MD (US);

Edward Adams Robie, Jr., Newport, NC (US);

Assignee:

ScienceLogic, Inc., Reston, VA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 15/16 (2006.01); H04L 12/24 (2006.01); H04L 12/26 (2006.01);
U.S. Cl.
CPC ...
H04L 41/12 (2013.01); H04L 41/04 (2013.01); H04L 43/08 (2013.01);
Abstract

Correlation of component information provided by diverse detection and data collection methods is used to discover additional components and identify and record relationships between these and still other components. Each detection and data collection method can be individually useful to discover components, and to provide at least some information about one or more discovered components to identify at least one relationship between the discovered components. When the information and component discoveries of a first detection and data collection method are properly combined with those of a second detection and data collection method, there can be a synergistic effect that greatly improves the utility and efficiency of a relationship-based network management system by enabling automated discovery of additional components and identification of additional component relationships, by automatically merging diverse views of a single component into a coherent picture of that component, and by automated prediction of component state changes based on state changes in related components.


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