{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11258673","patent":{"patent_number":"US-11258673","title":"Machine learning driven data collection of high-frequency network telemetry for failure prediction","assignee":null,"inventors":[],"filing_date":"2019-05-03T00:00:00.000Z","publication_date":"2022-02-22T00:00:00.000Z","cpc_codes":["H04L","G06N","H04L","H04L","H04L","H04L","H04L","H04L","H04L","H04L","H04L","H04L","G06N","H04L","H04L"],"num_claims":20,"abstract":"In one embodiment, a supervisory service for one or more networks receives telemetry data samples from a plurality of networking devices in the one or more networks. The service trains a failure prediction model to predict failures in the one or more networks, using a training dataset comprising the received telemetry data samples. The service assesses performance of the failure prediction model. The service trains, based on the assessed performance of the failure prediction model, a machine learning-based classification model to determine whether a networking device should send a particular telemetry data sample to the service. The service sends the machine learning-based classifier to one or more of the plurality of networking devices, to control which telemetry data samples the one or more networking devices send to the supervisory service."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Machine learning driven data collection of high-frequency network telemetry for failure prediction","description":"In one embodiment, a supervisory service for one or more networks receives telemetry data samples from a plurality of networking devices in the one or more networks. The service trains a failure predi","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11258673","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11258673","citation_suggestion":"Patentable. \"Machine learning driven data collection of high-frequency network telemetry for failure prediction\" (US-11258673). https://patentable.app/patents/US-11258673","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11258673","json":"https://patentable.app/api/llm-context/US-11258673","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T08:26:29.141Z"}