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US Patent 11886320 Diagnosing application problems by learning from fault injections

Patent 11886320 was granted and assigned to NetApp on January, 2024 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
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NEUROPS INC.
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Current Assignee
NetApp
NetApp
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
118863200
Patent Inventor Names
David Lee0
Pradeep Padala0
Xiaoyun Zhu0
Nathaniel Morris0
Date of Patent
January 30, 2024
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Patent Application Number
169067680
Date Filed
June 19, 2020
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Patent Citations
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US Patent 11341410 Subsurface stress criticality associated with fluid injection and determined using machine learning
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US Patent 10891219 Code failure prediction system
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US Patent 8706451 Method and apparatus for generating a model for an electronic prognostics system
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US Patent 10338993 Analysis of failures in combinatorial test suite
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US Patent 10423514 Automated classification of mobile app battery consumption using simulation
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US Patent 10684940 Microservice failure modeling and testing
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US Patent 10719301 Development environment for machine learning media models
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Patent Primary Examiner
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Andrew M. Lyons
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Patent abstract

Identifying a likely cause of a problem in an application can include: injecting a series of a set of predetermined faults into the application; sampling a subset of a set of training features from the application during each predetermined fault injected into the application and labeling each subset with an identifier of the corresponding predetermined fault; and training a classifier to identify the likely cause by associating a set of real-time features sampled from the application that pertain to the problem to one or more of the predetermined faults in response to the training features.

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