{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11277317","patent":{"patent_number":"US-11277317","title":"Machine learning to predict quality-of-service needs in an operational data management system","assignee":null,"inventors":[],"filing_date":"2019-08-05T00:00:00.000Z","publication_date":"2022-03-15T00:00:00.000Z","cpc_codes":["H04L","G06N","H04L","H04L","H04L","H04L","H04L","H04L","H04L","H04L","G06N","G06N","G06N","H04L"],"num_claims":20,"abstract":"Operational data in a distributed processing system is managed by monitoring a workload of the system to establish a current assessment of operational data movement between data sources and data targets, receiving historical information on previous data movement including previous instances of movement resulting in a compromise of one or more quality-of-service criteria, determining from the current assessment and historical information that upcoming operational data actions will not meet a particular quality-of-service criterion, and responsively applying a data management optimization infrastructure (data backplane services) adapted to advance the particular quality-of-service criterion according to definitions for the data sources and data targets. The operational outcome is predicted using a cognitive system trained with historical information including historical operational factors correlated with historical operational outcomes relative to the quality-of-service criteria."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Machine learning to predict quality-of-service needs in an operational data management system","description":"Operational data in a distributed processing system is managed by monitoring a workload of the system to establish a current assessment of operational data movement between data sources and data targe","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11277317","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-11277317","citation_suggestion":"Patentable. \"Machine learning to predict quality-of-service needs in an operational data management system\" (US-11277317). https://patentable.app/patents/US-11277317","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11277317","json":"https://patentable.app/api/llm-context/US-11277317","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T08:28:32.215Z"}