Invention Grant
- Patent Title: Pattern discovery from high dimensional telemetry data using machine learning in a network assurance service
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Application No.: US15988084Application Date: 2018-05-24
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Publication No.: US10778566B2Publication Date: 2020-09-15
- Inventor: Grégory Mermoud , Jean-Philippe Vasseur , 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 ; H04L12/46 ; H04L12/751 ; H04L12/26 ; H04L29/12

Abstract:
In one embodiment, a network assurance service that monitors a plurality of networks subdivides telemetry data regarding devices located in the networks into subsets, wherein each subset is associated with a device type, time period, metric type, and network. The service summarizes each subset by computing distribution percentiles of metric values in the subset. The service identifies an outlier subset by comparing distribution percentiles that summarize the subsets. The service reports insight data regarding the outlier subset to a user interface. The service adjusts the subsets based in part on feedback regarding the insight data from the user interface.
Public/Granted literature
Information query