Patents by Inventor Alex R. Martin

Alex R. Martin 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).

  • Prediction of a data protection activity time for a backup environment
    Patent number: 11521082
    Abstract: Data protection activity time in a backup environment can be predicted with a computer-implemented method. The method includes gathering datasets of data points from a range of backup components of a backup system and constructing input features for a predictive machine learning model, where the input features relate to backup parameters of the backup system. The method also includes training the predictive machine learning model to predict data protection activity times for the backup system by using the gathered datasets and applying the input features to the model. The method also includes deploying the trained predictive machine learning model to predict a data protection activity time of a backup system formed of a set of the backup components.
    Type: Grant
    Filed: November 19, 2019
    Date of Patent: December 6, 2022
    Assignee: Kyndryl, Inc.
    Inventors: Mikael Lindström, Daniela Trevisan, Alex R. Martin, Mu Qiao
  • PREDICTION OF A DATA PROTECTION ACTIVITY TIME FOR A BACKUP ENVIRONMENT
    Publication number: 20210150383
    Abstract: Data protection activity time in a backup environment can be predicted with a computer-implemented method. The method includes gathering datasets of data points from a range of backup components of a backup system and constructing input features for a predictive machine learning model, where the input features relate to backup parameters of the backup system. The method also includes training the predictive machine learning model to predict data protection activity times for the backup system by using the gathered datasets and applying the input features to the model. The method also includes deploying the trained predictive machine learning model to predict a data protection activity time of a backup system formed of a set of the backup components.
    Type: Application
    Filed: November 19, 2019
    Publication date: May 20, 2021
    Inventors: Mikael Lindström, Daniela Trevisan, Alex R. Martin, Mu Qiao