{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11269688","patent":{"patent_number":"US-11269688","title":"Scaling distributed computing system resources based on load and trend","assignee":null,"inventors":[],"filing_date":"2018-12-18T00:00:00.000Z","publication_date":"2022-03-08T00:00:00.000Z","cpc_codes":["G06F","G06F","G06F","G06F","G06F","G06F","G06F","G06F","G06F","G06F","G06F","G06F","G06F","G06F","G06F","G06F","H04L"],"num_claims":20,"abstract":"The described technology is generally directed towards automatically scaling distributed computing resources of a distributed computing system based on a system load measurement and a trend factor indicative of whether the system load is increasing or decreasing. If a computing resource load value is above a resource addition threshold value and the trend factor indicates that the computing resource load is increasing, a corresponding computing resource is added to the distributed computing system. If a computing resource load value is below a resource removal threshold value and the trend factor indicates that the computing resource load is decreasing, a corresponding computing resource is removed from the distributed computing system. The trend factor can be obtained using a moving average convergence divergence (MACD) direction indicator."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Scaling distributed computing system resources based on load and trend","description":"The described technology is generally directed towards automatically scaling distributed computing resources of a distributed computing system based on a system load measurement and a trend factor ind","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11269688","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-11269688","citation_suggestion":"Patentable. \"Scaling distributed computing system resources based on load and trend\" (US-11269688). https://patentable.app/patents/US-11269688","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11269688","json":"https://patentable.app/api/llm-context/US-11269688","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T12:36:29.609Z"}