Patents by Inventor Elizabeth Keddy

Elizabeth Keddy 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).

  • Network performance metrics anomaly detection
    Patent number: 11924049
    Abstract: A method for detecting anomalies in one or more network performance metrics stream for one or more monitored object comprising using a discrete window on the stream to extract a motif from said stream for a first of said network performance metric for a first of said monitored object. Maintaining an abnormal and a normal cluster center of historical time series for said first network performance metric for said first monitored object. Classifying said motif based on a distance between said new time series and said abnormal and said normal cluster center. Determining whether an anomaly for said motif occurred based on said distance and a predetermined decision boundary.
    Type: Grant
    Filed: November 25, 2022
    Date of Patent: March 5, 2024
    Assignee: ACCEDIAN NETWORKS INC.
    Inventors: Abdolreza Shirvani, Elizabeth Keddy, Glenda Ann Leonard, Christopher Daniel Fridgen
  • NETWORK PERFORMANCE METRICS ANOMALY DETECTION
    Publication number: 20230092829
    Abstract: A method for detecting anomalies in one or more network performance metrics stream for one or more monitored object comprising using a discrete window on the stream to extract a motif from said stream for a first of said network performance metric for a first of said monitored object. Maintaining an abnormal and a normal cluster center of historical time series for said first network performance metric for said first monitored object. Classifying said motif based on a distance between said new time series and said abnormal and said normal cluster center. Determining whether an anomaly for said motif occurred based on said distance and a predetermined decision boundary.
    Type: Application
    Filed: November 25, 2022
    Publication date: March 23, 2023
    Inventors: Abdolreza Shirvani, Elizabeth Keddy, Glenda Ann Leonard, Christopher Daniel Fridgen
  • Network performance metrics anomaly detection
    Patent number: 11539573
    Abstract: A method for detecting anomalies in one or more network performance metrics stream for one or more monitored object comprising using a discrete window on the stream to extract a motif from said stream for a first of said network performance metric for a first of said monitored object. Maintaining an abnormal and a normal cluster center of historical time series for said first network performance metric for said first monitored object. Classifying said motif based on a distance between said new time series and said abnormal and said normal cluster center. Determining whether an anomaly for said motif occurred based on said distance and a predetermined decision boundary.
    Type: Grant
    Filed: July 23, 2021
    Date of Patent: December 27, 2022
    Assignee: Accedian Networks Inc.
    Inventors: Abdolreza Shirvani, Elizabeth Keddy, Glenda Ann Leonard, Christopher Daniel Fridgen
  • NETWORK PERFORMANCE METRICS ANOMALY DETECTION
    Publication number: 20210377098
    Abstract: A method for detecting anomalies in one or more network performance metrics stream for one or more monitored object comprising using a discrete window on the stream to extract a motif from said stream for a first of said network performance metric for a first of said monitored object. Maintaining an abnormal and a normal cluster center of historical time series for said first network performance metric for said first monitored object. Classifying said motif based on a distance between said new time series and said abnormal and said normal cluster center. Determining whether an anomaly for said motif occurred based on said distance and a predetermined decision boundary.
    Type: Application
    Filed: July 23, 2021
    Publication date: December 2, 2021
    Inventors: Abdolreza Shirvani, Elizabeth Keddy, Glenda Ann Leonard, Christopher Daniel Fridgen
  • Network performance metrics anomaly detection
    Patent number: 11108621
    Abstract: A method for detecting anomalies in one or more network performance metrics stream for one or more monitored object comprising using a discrete window on the stream to extract a motif from said stream for a first of said network performance metric for a first of said monitored object. Maintaining an abnormal and a normal cluster center of historical time series for said first network performance metric for said first monitored object. Classifying said motif based on a distance between said new time series and said abnormal and said normal cluster center. Determining whether an anomaly for said motif occurred based on said distance and a predetermined decision boundary.
    Type: Grant
    Filed: May 29, 2020
    Date of Patent: August 31, 2021
    Assignee: Accedian Networks Inc.
    Inventors: Abdolreza Shirvani, Elizabeth Keddy, Glenda Ann Leonard, Christopher Daniel Fridgen