Invention Grant
- Patent Title: Systems and methods for using machine learning techniques to remediate network conditions
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Application No.: US16597692Application Date: 2019-10-09
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Publication No.: US11025502B2Publication Date: 2021-06-01
- Inventor: Hayder Qaadri , Melissa Delmonico , Lakshmi Panguluri , Akhil Dayal , Ivan C. Berg , Meeta Vij
- Applicant: Verizon Patent and Licensing Inc.
- Applicant Address: US VA Arlington
- Assignee: Verizon Patent and Licensing Inc.
- Current Assignee: Verizon Patent and Licensing Inc.
- Current Assignee Address: US VA Arlington
- Main IPC: H04L12/24
- IPC: H04L12/24

Abstract:
A system described herein may use automated techniques, such as machine learning techniques, to identify network events (e.g., based on user-submitted reports and/or system-generated alerts). The system may identify a type and/or attributes of the network event, and may identify past network events that share the same or similar attributes. An estimated time to remediate the network event, and/or one or more remedial measures, may be determined and implemented based on remediation measures taken to remediate the past network events. The determined remedial measures may include one or more temporary remedial measures effected until a permanent solution is put into place. Users who are affected, or who are likely to be affected, may be contacted to indicate the estimated remediation time. Feedback may be used to refine the estimation and/or remediation for future similar network events.
Public/Granted literature
- US20210111966A1 SYSTEMS AND METHODS FOR USING MACHINE LEARNING TECHNIQUES TO REMEDIATE NETWORK CONDITIONS Public/Granted day:2021-04-15
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