TRAFFIC-BASED INFERENCE OF INFLUENCE DOMAINS IN A NETWORK BY USING LEARNING MACHINES

Patent №

US 11,580,449

Granted

2023-02-14

Filed 2019

Owner

CISCO TECHNOLOGY, INC.

Lab

AI components

3

ml · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16708816

In one embodiment, techniques are shown and described relating to traffic-based inference of influence domains in a network by using learning machines. In particular, in one embodiment, a management device computes a time-based traffic matrix indicating traffic between pairs of transmitter and receiver nodes in a computer network, and also determines a time-based quality parameter for a particular node in the computer network. By correlating the time-based traffic matrix and time-based quality parameter for the particular node, the device may then determine an influence of particular traffic of the traffic matrix on the particular node.

AI classification

Machine learning1.00
AI hardware0.98
Knowledge representation0.93
Planning0.03
Vision0.01
Evolutionary computation0.00
Natural language0.00
Speech0.00

Ownership

CISCO TECHNOLOGY, INC.

assignment · 512290443

Assignors

MERMOUD, GRÉGORY, VASSEUR, JEAN-PHILIPPE, DASGUPTA, SUKRIT

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

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