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US Patent 11368521 Utilizing reinforcement learning for serverless function tuning

Patent 11368521 was granted and assigned to Red Hat on June, 2022 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
0

Patent attributes

Patent Applicant
Red Hat
Red Hat
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Current Assignee
Red Hat
Red Hat
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
113685210
Patent Inventor Names
Huamin Chen0
Jinjun Xiong0
Roland Ludwig Huss0
Date of Patent
June 21, 2022
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Patent Application Number
171997100
Date Filed
March 12, 2021
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Patent Citations
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US Patent 11256555 Automatically scalable system for serverless hyperparameter tuning
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US Patent 11184263 Intelligent serverless function scaling
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US Patent 10769058 Generic serverless performance testing framework
Patent Primary Examiner
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El Hadji M Sall
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CPC Code
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H04L 67/10
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G06N 5/04
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G06N 20/00
0

One or more metrics associated with performance of a serverless function chain are received. The one or more metrics are analyzed by a reinforcement learning (RL) model to determine a tuning factor in view of a goal provided to the RL model. The tuning factor is transmitted to a serverless function controller, wherein the serverless function controller is to utilize the tuning factor to tune the serverless function chain.

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