{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11954526","patent":{"patent_number":"US-11954526","title":"Multi-queue multi-cluster task scheduling method and system","assignee":null,"inventors":[],"filing_date":"2020-07-10T00:00:00.000Z","publication_date":"2024-04-09T00:00:00.000Z","cpc_codes":["G06F","G06N","G06F","G06N","G06N","G06N","G06N"],"num_claims":12,"abstract":"The present disclosure provides a multi-queue multi-cluster task scheduling method and system. The method includes: constructing a training data set; training and optimizing a plurality of parallel deep neural networks (DNN) by using the training data set to obtain a plurality of trained and optimized parallel DNNs; setting a reward function, where the reward function minimizes the sum of a task delay and energy consumption by adjusting a reward value proportion of the task delay and a reward value proportion of the energy consumption; inputting a to-be-scheduled state space into the plurality of trained and optimized parallel DNNs to obtain a plurality of to-be-scheduled action decisions; determining an optimal action decision among the plurality of to-be-scheduled action decisions based on the reward function for output; and scheduling the plurality of task attribute groups to a plurality of clusters based on the optimal action decision."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Multi-queue multi-cluster task scheduling method and system","description":"The present disclosure provides a multi-queue multi-cluster task scheduling method and system. The method includes: constructing a training data set; training and optimizing a plurality of parallel de","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11954526","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-11954526","citation_suggestion":"Patentable. \"Multi-queue multi-cluster task scheduling method and system\" (US-11954526). https://patentable.app/patents/US-11954526","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11954526","json":"https://patentable.app/api/llm-context/US-11954526","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T18:39:16.810Z"}