Patents by Inventor Stephen E. Jerman

Stephen E. Jerman 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).

  • Patent number: 11281986
    Abstract: In one implementation, a method includes obtaining time series data. The time serious data includes a plurality of network utilization measurements. The plurality of network utilization measurements is indicative of a plurality of utilizations of one or more resources of a network resource at a plurality of times. The method also includes determining whether the time series data comprises a plurality of segments. Each segment of the plurality of segments is associated with a separate regression model and each segment includes a portion of the time series data. The method further includes identifying a current segment from the time series data when the time series data comprises the plurality of segments. The method further includes determining an estimated network utilization based on a current regression model associated with the current segment.
    Type: Grant
    Filed: June 26, 2020
    Date of Patent: March 22, 2022
    Assignee: CISCO TECHNOLOGY, INC.
    Inventors: Hao Hu, Preethi Natarajan, Nii Ako Ampa-Sowa, Stephen E. Jerman
  • Publication number: 20200327436
    Abstract: In one implementation, a method includes obtaining time series data. The time serious data includes a plurality of network utilization measurements. The plurality of network utilization measurements is indicative of a plurality of utilizations of one or more resources of a network resource at a plurality of times. The method also includes determining whether the time series data comprises a plurality of segments. Each segment of the plurality of segments is associated with a separate regression model and each segment includes a portion of the time series data. The method further includes identifying a current segment from the time series data when the time series data comprises the plurality of segments. The method further includes determining an estimated network utilization based on a current regression model associated with the current segment.
    Type: Application
    Filed: June 26, 2020
    Publication date: October 15, 2020
    Inventors: Hao Hu, Preethi Natarajan, Nii Ako Ampa-Sowa, Stephen E. Jerman
  • Patent number: 10713578
    Abstract: In one implementation, a method includes obtaining time series data. The time serious data includes a plurality of network utilization measurements. The plurality of network utilization measurements is indicative of a plurality of utilizations of one or more resources of a network resource at a plurality of times. The method also includes determining whether the time series data comprises a plurality of segments. Each segment of the plurality of segments is associated with a separate regression model and each segment includes a portion of the time series data. The method further includes identifying a current segment from the time series data when the time series data comprises the plurality of segments. The method further includes determining an estimated network utilization based on a current regression model associated with the current segment.
    Type: Grant
    Filed: April 29, 2015
    Date of Patent: July 14, 2020
    Assignee: CISCO TECHNOLOGY, INC.
    Inventors: Hao Hu, Preethi Natarajan, Nii Ako Ampa-Sowa, Stephen E. Jerman
  • Publication number: 20160323158
    Abstract: In one implementation, a method includes obtaining time series data. The time serious data includes a plurality of network utilization measurements. The plurality of network utilization measurements is indicative of a plurality of utilizations of one or more resources of a network resource at a plurality of times. The method also includes determining whether the time series data comprises a plurality of segments. Each segment of the plurality of segments is associated with a separate regression model and each segment includes a portion of the time series data. The method further includes identifying a current segment from the time series data when the time series data comprises the plurality of segments. The method further includes determining an estimated network utilization based on a current regression model associated with the current segment.
    Type: Application
    Filed: April 29, 2015
    Publication date: November 3, 2016
    Inventors: Hao Hu, Preethi Natarajan, Nii Ako Ampa-Sowa, Stephen E. Jerman