Invention Application
- Patent Title: PREDICTING THE IMPACT OF NETWORK SOFTWARE UPGRADES ON MACHINE LEARNING MODEL PERFORMANCE
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Application No.: US17874509Application Date: 2022-07-27
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Publication No.: US20220357943A1Publication Date: 2022-11-10
- Inventor: Vinay Kumar Kolar , Jean-Philippe Vasseur , Grégory Mermoud , Pierre-André Savalle
- 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
- Main IPC: G06F8/71
- IPC: G06F8/71 ; H04L43/00 ; G06N20/00

Abstract:
In one embodiment, a service receives software version data regarding versions of software executed by devices in a network. The service detects a version change in the version of software executed by one or more of the devices, based on the received software version data. The service makes a determination that a drop in data quality of input data for a machine learning model used to monitor the network is associated with the detected version change. The service reverts the one or more devices to a prior version of software, based on the determination that the drop in quality of the input data for the machine learning model used to monitor the network is associated with the detected version change.
Public/Granted literature
- US11625241B2 Predicting the impact of network software upgrades on machine learning model performance Public/Granted day:2023-04-11
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