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US 2026/0230376 A1Published application
Methods and apparatus for network analysis
AssigneePromptlink Communications, Inc.
InventorsFoad TOWFIQ, Alexander PODAREVSKY
Life of this patent
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Abstract
Various techniques for analyzing data networks with impaired network components, recording network telemetry data and training one or more machine learning algorithms are described. The machine learning algorithms trained in this way are used to detect impaired network components and/or noise on a deployed data network.
Claims19
A method, comprising:
- while a first network condition impairs operation of one or more network components of a first data network, recording first telemetry data produced by one or more network components of the first data network;
- recording topology information about the first data network;
- associating the first telemetry data with a characterization of the first network condition and the topology information about the first data network;
- training one or more machine learning models using the first telemetry data in association with the characterization of the first network condition and the topology information about the first data network;
- and
- subsequent to training the one or more machine learning models, using the one or more machine learning models to determine one or more characteristics of a network condition in a deployed data network.
3 more elements
A method, comprising:
- receiving first telemetry data produced by one or more network components of a first data network that includes a first network condition that impairs operation of one or more network components of the first data network, wherein the first telemetry data was produced while the first network condition impairs the operation of one or more network components of the first data network;
- receiving topology information about the first data network that indicates the topology of the first data network while the first network condition impaired the operation of one or more network components of the first data network;
- training one or more machine learning models using the first telemetry data in association with a characterization of the first network condition and the topology information about the first data network;
- and
- using the one or more machine learning models that have been trained using the first telemetry data to determine one or more characteristics of a network condition in a deployed data network.
2 more elements
A non-transitory computer-readable storage medium storing one or more programs configured to be executed by one or more processors, the one or more programs including instructions for:
- receiving first telemetry data produced by one or more network components of a first data network that includes a first network condition that impairs operation of one or more network components of the first data network, wherein the first telemetry data was produced while the first network condition impairs the operation of one or more network components of the first data network;
- receiving topology information about the first data network that indicates the topology of the first data network while the first network condition impaired the operation of one or more network components of the first data network;
- training one or more machine learning models using the first telemetry data in association with a characterization of the first network condition and the topology information about the first data network;
- and
- determining, using the one or more machine learning models that have been trained using the first telemetry data, one or more characteristics of a network condition in a deployed data network that is different from the first data network.
2 more elements
Dependencies are inferred from the claim text.