Invention Grant
- Patent Title: Dynamically adjusting a set of monitored network properties using distributed learning machine feedback
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Application No.: US13941063Application Date: 2013-07-12
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Publication No.: US09860140B2Publication Date: 2018-01-02
- Inventor: Jean-Philippe Vasseur , Grégory Mermoud , 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: Parker Ibrahim & Berg LLC
- Agent James M. Behmke; Stephen D. LeBarron
- Main IPC: G06F15/16
- IPC: G06F15/16 ; H04L12/26 ; H04L12/24

Abstract:
In one embodiment, techniques are shown and described relating to dynamically adjusting a set of monitored network properties using distributed learning machine feedback. In particular, in one embodiment, a learning machine (or distributed learning machines) determines a plurality of monitored network properties in a computer network. From this, a subset of relevant network properties of the plurality of network properties may be determined, such that a corresponding subset of irrelevant network properties based on the subset of relevant network properties may also be determined. Accordingly, the computer network may be informed of the irrelevant network properties to reduce a rate of monitoring the irrelevant network properties.
Public/Granted literature
- US20140222996A1 DYNAMICALLY ADJUSTING A SET OF MONITORED NETWORK PROPERTIES USING DISTRIBUTED LEARNING MACHINE FEEBACK Public/Granted day:2014-08-07
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