{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11514317","patent":{"patent_number":"US-11514317","title":"Machine learning based resource availability prediction","assignee":null,"inventors":[],"filing_date":"2020-03-25T00:00:00.000Z","publication_date":"2022-11-29T00:00:00.000Z","cpc_codes":["G06N","G06F","G06F","G06F","G06F","G06N","G06F"],"num_claims":17,"abstract":"Requests from file system services of a storage system are registered. Each file system service, when executed, utilizes one or more resources of the storage system. Each request includes information describing resource requirements required by a respective file system service. Resource utilization data of the resources are collected over a period of time. The resource utilization data includes an identification of a resource, a timestamp, and a measurement indicating a utilization level of the resource corresponding to the timestamp. A machine learning model is trained to predict utilization patterns of the resources. Execution of the file system services are scheduled based on the predicted utilization patterns. Monitoring is conducted during the execution of the file system services. Based on the monitoring a determination is made as to whether the machine learning model should be retrained."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Machine learning based resource availability prediction","description":"Requests from file system services of a storage system are registered. Each file system service, when executed, utilizes one or more resources of the storage system. Each request includes information ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11514317","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-11514317","citation_suggestion":"Patentable. \"Machine learning based resource availability prediction\" (US-11514317). https://patentable.app/patents/US-11514317","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11514317","json":"https://patentable.app/api/llm-context/US-11514317","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T14:31:27.419Z"}