Patents by Inventor Vladimir Semitchev

Vladimir Semitchev has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Methods and systems for characterizing computing system performance using peer-derived performance severity and symptom severity models
    Patent number: 11632304
    Abstract: An assessment of computing system performance may include evaluating, within a time window, the average latency of operations of a certain type and size with respect to a peer performance model constructed for operations of the same type and size. Such evaluation may result in the determination of a peer performance score. The peer performance score may be used to label performance characteristics of the computing system that are measured within the same time window. A library of such performance characteristics labeled with respective peer performance scores may be constructed by examining multiple computing systems, and such library may be used to construct one or more symptom models. Each symptom model may map a performance characteristic to a symptom severity score, which indicates the severity of a symptom of the computing system.
    Type: Grant
    Filed: October 31, 2016
    Date of Patent: April 18, 2023
    Assignee: Hewlett Packard Enterprise Development LP
    Inventors: Guoli Sun, David Nellinger Adamson, Gurunatha Karaje, Vladimir Semitchev
  • METHODS AND SYSTEMS FOR CHARACTERIZING COMPUTING SYSTEM PERFORMANCE USING PEER-DERIVED PERFORMANCE SEVERITY AND SYMPTOM SEVERITY MODELS
    Publication number: 20180123931
    Abstract: An assessment of computing system performance may include evaluating, within a time window, the average latency of operations of a certain type and size with respect to a peer performance model constructed for operations of the same type and size. Such evaluation may result in the determination of a peer performance score. The peer performance score may be used to label performance characteristics of the computing system that are measured within the same time window. A library of such performance characteristics labeled with respective peer performance scores may be constructed by examining multiple computing systems, and such library may be used to construct one or more symptom models. Each symptom model may map a performance characteristic to a symptom severity score, which indicates the severity of a symptom of the computing system.
    Type: Application
    Filed: October 31, 2016
    Publication date: May 3, 2018
    Inventors: Guoli Sun, David Nellinger Adamson, Gurunatha Karaje, Vladimir Semitchev