Patents by Inventor Shay Baruch Nahum

Shay Baruch Nahum 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).

  • Detection of abnormal resource usage in a data center
    Patent number: 10402244
    Abstract: A system for identifying abnormal resource usage in a data center is provided. In some embodiments, the system employs a prediction model for each of a plurality of resources and an abnormal resource usage criterion. For each of a plurality of resources of the data center, the system retrieves current resource usage data for a current time and past resource usage data for that resource. The system then extracts features from the past resource usage data for that resource, predicts using the prediction model for that resource usage data for the current time based on the extracted features, and determines an error between the predicted resource usage data and the current resource usage data. After determining the error data for the resources, the system determines whether errors satisfy the abnormal resource usage criterion. If so, the system indicates that an abnormal resource usage has occurred.
    Type: Grant
    Filed: December 20, 2016
    Date of Patent: September 3, 2019
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC.
    Inventors: Hani Neuvirth-Telem, Amit Hilbuch, Shay Baruch Nahum, Yehuda Finkelstein, Daniel Alon, Elad Yom-Tov
  • DETECTION OF ABNORMAL RESOURCE USAGE IN A DATA CENTER
    Publication number: 20170161127
    Abstract: A system for identifying abnormal resource usage in a data center is provided. In some embodiments, the system employs a prediction model for each of a plurality of resources and an abnormal resource usage criterion. For each of a plurality of resources of the data center, the system retrieves current resource usage data for a current time and past resource usage data for that resource. The system then extracts features from the past resource usage data for that resource, predicts using the prediction model for that resource usage data for the current time based on the extracted features, and determines an error between the predicted resource usage data and the current resource usage data. After determining the error data for the resources, the system determines whether errors satisfy the abnormal resource usage criterion. If so, the system indicates that an abnormal resource usage has occurred.
    Type: Application
    Filed: December 20, 2016
    Publication date: June 8, 2017
    Inventors: Hani Neuvirth-Telem, Amit Hilbuch, Shay Baruch Nahum, Yehuda Finkelstein, Daniel Alon, Elad Yom-Tov
  • Detection of abnormal resource usage in a data center
    Patent number: 9665460
    Abstract: A system for identifying abnormal resource usage in a data center is provided. In some embodiments, the system employs a prediction model for each of a plurality of resources and an abnormal resource usage criterion. For each of a plurality of resources of the data center, the system retrieves current resource usage data for a current time and past resource usage data for that resource. The system then extracts features from the past resource usage data for that resource, predicts using the prediction model for that resource usage data for the current time based on the extracted features, and determines an error between the predicted resource usage data and the current resource usage data. After determining the error data for the resources, the system determines whether errors satisfy the abnormal resource usage criterion. If so, the system indicates that an abnormal resource usage has occurred.
    Type: Grant
    Filed: May 26, 2015
    Date of Patent: May 30, 2017
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Hani Neuvirth-Telem, Amit Hilbuch, Shay Baruch Nahum, Yehuda Finkelstein, Daniel Alon, Elad Yom-Tov
  • DETECTION OF ABNORMAL RESOURCE USAGE IN A DATA CENTER
    Publication number: 20160350198
    Abstract: A system for identifying abnormal resource usage in a data center is provided. In some embodiments, the system employs a prediction model for each of a plurality of resources and an abnormal resource usage criterion. For each of a plurality of resources of the data center, the system retrieves current resource usage data for a current time and past resource usage data for that resource. The system then extracts features from the past resource usage data for that resource, predicts using the prediction model for that resource usage data for the current time based on the extracted features, and determines an error between the predicted resource usage data and the current resource usage data. After determining the error data for the resources, the system determines whether errors satisfy the abnormal resource usage criterion. If so, the system indicates that an abnormal resource usage has occurred.
    Type: Application
    Filed: May 26, 2015
    Publication date: December 1, 2016
    Inventors: Hani Neuvirth-Telem, Amit Hilbuch, Shay Baruch Nahum, Yehuda Finkelstein, Daniel Alon, Elad Yom-Tov