Invention Grant
- Patent Title: Traffic-based inference of influence domains in a network by using learning machines
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Application No.: US13946386Application Date: 2013-07-19
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Publication No.: US10540605B2Publication Date: 2020-01-21
- Inventor: Grégory Mermoud , Jean-Philippe Vasseur , Sukrit Dasgupta
- Applicant: Cisco Technology, Inc.
- Applicant Address: US CA San Jose
- Assignee: Cisco Technology, Inc.
- Current Assignee: Cisco Technology, Inc.
- Current Assignee Address: US CA San Jose
- Agency: Behmke Innovation Group LLC
- Agent James Behmke; Stephen D. LeBarron
- Main IPC: G06N20/00
- IPC: G06N20/00

Abstract:
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.
Public/Granted literature
- US20140222748A1 TRAFFIC-BASED INFERENCE OF INFLUENCE DOMAINS IN A NETWORK BY USING LEARNING MACHINES Public/Granted day:2014-08-07
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