Invention Grant
- Patent Title: Model training for on-premise execution in a network assurance system
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Application No.: US16578565Application Date: 2019-09-23
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Publication No.: US11070441B2Publication Date: 2021-07-20
- Inventor: Andrea Di Pietro
- 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: H04L12/24
- IPC: H04L12/24 ; H04L29/12 ; G06N20/00

Abstract:
In one embodiment, a network assurance service maintains a data lake of network telemetry data obtained by the service from any number of computer networks. The service generates a machine learning model for on-premise execution in a particular computer network to detect network issues in the particular network. To do so, the service repeatedly selects a candidate set of model settings based in part on the data lake of network telemetry data, trains a machine learning model using network telemetry data from the data lake that matches the candidate set of model settings, and tests performance of the trained model using an emulator that emulates network issues in the particular network. The service further deploys the generated machine learning model to the particular computer network for on-premise execution.
Public/Granted literature
- US20210092026A1 MODEL TRAINING FOR ON-PREMISE EXECUTION IN A NETWORK ASSURANCE SYSTEM Public/Granted day:2021-03-25
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