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US Patent 11425232 Faulty distributed system component identification

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Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11425232
Patent Inventor Names
Richard Huddleston12
Ahmed Jedda12
Date of Patent
August 23, 2022
Patent Application Number
17012314
Date Filed
September 4, 2020
Patent Citations
‌
US Patent 10699705 Using machine-learning models to determine movements of a mouth corresponding to live speech
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US Patent 10142353 System for monitoring and managing datacenters
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US Patent 10169816 Trading anomaly kill switch
3
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US Patent 10552728 Automated anomaly detection for event-based system
4
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US Patent 10360069 Automated transfer of neural network definitions among federated areas
‌
US Patent 11211060 Using machine-learning models to determine movements of a mouth corresponding to live speech
7
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US Patent 11159022 Building energy optimization system with a dynamically trained load prediction model
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US Patent 10798230 Faulty distributed system component identification
10
Patent Citations Received
‌
US Patent 11558493 Method and computer system for monitoring message packets
11
Patent Primary Examiner
‌
Ayaz R Sheikh

A system for detecting a communications computer network node malfunction by analysis of network traffic output by the network node. Low latency packet capture nodes copy network traffic and transmit it to an analytics engine, which may use machine learning techniques, including long short-term memory (LSTM) neural networks, to determine a likelihood that the output of one data router in a network is suffering from a software malfunction, hardware malfunction, or network connectivity issue, and preserve overall data quality in the network by causing cessation of traffic by the malfunctioning node of the network.

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