Invention Grant
- Patent Title: Using raw network telemetry traces to generate predictive insights using machine learning
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Application No.: US16809060Application Date: 2020-03-04
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Publication No.: US11797883B2Publication Date: 2023-10-24
- Inventor: Andrea Di Pietro , Javier Cruz Mota , Sukrit Dasgupta , Jean-Philippe Vasseur
- 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 Kenneth J. Heywood; Jonathon P. Western
- Main IPC: G06F15/16
- IPC: G06F15/16 ; G06N20/00 ; H04L41/22 ; H04L41/14 ; G06N5/04 ; H04L41/16 ; G06F15/173

Abstract:
In one embodiment, a service receives telemetry data collected from a plurality of different networks. The service combines the telemetry data into a synthetic input trace. The service inputs the synthetic input trace into a plurality of machine learning models to generate a plurality of predicted key performance indicators (KPIs), each of the models having been trained to assess telemetry data from an associated network in the plurality of different networks and predict a KPI for that network. The service compares the plurality of predicted KPIs to identify one of the plurality of different networks as exhibiting an abnormal behavior.
Public/Granted literature
- US20210279632A1 USING RAW NETWORK TELEMETRY TRACES TO GENERATE PREDICTIVE INSIGHTS USING MACHINE LEARNING Public/Granted day:2021-09-09
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