Invention Grant
- Patent Title: Network system fault resolution via a machine learning model
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Application No.: US16835757Application Date: 2020-03-31
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Publication No.: US11570038B2Publication Date: 2023-01-31
- Inventor: Jisheng Wang , Xiaoying Wu , Shmuel Shaffer , David Jea
- Applicant: Juniper Networks, Inc.
- Applicant Address: US CA Sunnyvale
- Assignee: Juniper Networks, Inc.
- Current Assignee: Juniper Networks, Inc.
- Current Assignee Address: US CA Sunnyvale
- Agency: Shumaker & Sieffert, P.A.
- Main IPC: H04L41/0631
- IPC: H04L41/0631 ; G06N20/00 ; G06F16/22 ; G06N7/00 ; G06F11/07 ; G05B23/02

Abstract:
Disclosed are embodiments for automatically resolving faults in a complex network system. Some embodiments monitor one or more of system operational parameter values and message exchanges between network components. A machine learning model detects a fault in the complex network system, and an action is selected based on a cause of the fault. After the action is applied to the complex network system, additional monitoring is performed to either determine the fault has been resolved or additional actions are to be applied to further resolve the fault.
Public/Granted literature
- US20210306201A1 NETWORK SYSTEM FAULT RESOLUTION VIA A MACHINE LEARNING MODEL Public/Granted day:2021-09-30
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