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
Ownership
CISCO TECHNOLOGY, INC.
assignment · 512290443
Assignors
MERMOUD, GRÉGORY, VASSEUR, JEAN-PHILIPPE, DASGUPTA, SUKRIT
On an employer assignment, the assignors are typically the inventors.