GENERIC DISCOVERY FOR COMPUTER NETWORKS

Patent №

US 8,683,032

Granted

2014-03-25

Filed 2005

Owner

BMC SOFTWARE, INC.

Lab

AI components

3

kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11295363

A generic discovery methodology collects data pertaining to components of a computer network using various discovery technologies. From the collected data, the methodology identifies, filters and analyzes information related to inter-component communications. Using the communication and application information, the methodology determines reliable relationships for those components having sufficient information available. To qualify more components, the methodology implements a decision service to generate hypothetical relationships between components that are known and components that are unqualified or unknown. The hypothetical relationships are presented to a user for selection, and each hypothetical relationship is preferably associated with an indication of its reliability.

Knowledge representationPlanningAI hardwareH04L 41/12H04L 41/14H04L 43/0811H04L 67/51H04L 43/10H04L 69/329

AI classification

Planning1.00
Knowledge representation1.00
AI hardware0.63
Natural language0.49
Vision0.03
Evolutionary computation0.03
Machine learning0.01
Speech0.00

Ownership

BMC SOFTWARE, INC.

assignment · 171530557

Assignors

SPINELLI, MR. LIONEL, CHABRIER, MR. JEAN-CLAUDE, GERMAIN, MR. PIERRE

On an employer assignment, the assignors are typically the inventors.

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