Invention Grant
- Patent Title: Network system modeling using nested models combining machine learning and behavioral approaches
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Application No.: US17176382Application Date: 2021-02-16
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Publication No.: US12210944B2Publication Date: 2025-01-28
- Inventor: Michael Y. Frankel , Thomas Triplet
- Applicant: Ciena Corporation
- Applicant Address: US MD Hanover
- Assignee: Ciena Corporation
- Current Assignee: Ciena Corporation
- Current Assignee Address: US MD Hanover
- Agency: Baratta Law PLLC
- Agent Lawrence A. Baratta, Jr.
- Main IPC: G06N20/00
- IPC: G06N20/00 ; H04B10/079

Abstract:
Systems and methods include obtaining input data related to a networking system; modeling operation of the networking system via a composite model that includes a plurality of sub-models that collectively form the composite model, wherein at least one sub-model is a behavioral sub-model and at least one sub-model is a machine learning model, wherein various data in the input data is provided to corresponding sub-models, and wherein each sub-model is configured to model one or more components in the networking system; and providing output data based on the modeling.
Public/Granted literature
- US20220261686A1 Network system modeling using nested models combining machine learning and behavioral approaches Public/Granted day:2022-08-18
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