Patents by Inventor Ronald Agresta

Ronald Agresta 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).

  • Distributed data set task selection
    Patent number: 9753767
    Abstract: An apparatus may include a processor and storage to store instructions that cause the processor to perform operations including: generate a current data set model descriptive of a characteristic of a current data set; compare the current data set model to at least one previously generated data set model descriptive of a characteristic of a previously analyzed data set; in response to detection of a match within a similarity threshold: retrieve an indication from a correlation database of an action previously performed on a previously analyzed data set; select a computer language based on node data descriptive of characteristics of a node device execution environment; generate node instructions in the selected computer language and based on the current data set model to cause the node device to perform the previously performed action on a portion of the current data set; and transmit the node instructions to the node device.
    Type: Grant
    Filed: February 13, 2017
    Date of Patent: September 5, 2017
    Assignee: SAS Institute Inc.
    Inventors: Nancy Anne Rausch, Ronald Agresta, Roger Jay Barney, Willem Abraham Hazejager
  • DISTRIBUTED DATA SET TASK SELECTION
    Publication number: 20170153914
    Abstract: An apparatus may include a processor and storage to store instructions that cause the processor to perform operations including: generate a current data set model descriptive of a characteristic of a current data set; compare the current data set model to at least one previously generated data set model descriptive of a characteristic of a previously analyzed data set; in response to detection of a match within a similarity threshold: retrieve an indication from a correlation database of an action previously performed on a previously analyzed data set; select a computer language based on node data descriptive of characteristics of a node device execution environment; generate node instructions in the selected computer language and based on the current data set model to cause the node device to perform the previously performed action on a portion of the current data set; and transmit the node instructions to the node device.
    Type: Application
    Filed: February 13, 2017
    Publication date: June 1, 2017
    Applicant: SAS Institute Inc.
    Inventors: Nancy Anne Rausch, Ronald Agresta, Roger Jay Barney, Willem Abraham Hazejager