Patents by Inventor Dario Bahena Tapia

Dario Bahena Tapia 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: 11949703
    Abstract: Techniques are disclosed for summarizing, diagnosing, and correcting the cause of anomalous behavior in computing systems. In some embodiments, a system identifies a plurality of time series that track different metrics over time for a set of one or more computing resources. The system detects a first set of anomalies in a first time series that tracks a first metric and assigns a different respective range of time to each anomaly. The system determines whether the respective range of time assigned to an anomaly overlaps with timestamps or ranges of time associated with anomalies from one or more other time series. The system generates at least one cluster that groups metrics based on how many anomalies have respective ranges of time and/or timestamps that overlap. The system may preform, based on the cluster, one or more automated actions for diagnosing or correcting a cause of anomalous behavior.
    Type: Grant
    Filed: November 15, 2022
    Date of Patent: April 2, 2024
    Assignee: Oracle International Corporation
    Inventors: Sampanna Shahaji Salunke, Dario Bahena Tapia, Dustin Garvey, Sumathi Gopalakrishnan, Neil Goodman
  • Publication number: 20230075486
    Abstract: Techniques are disclosed for summarizing, diagnosing, and correcting the cause of anomalous behavior in computing systems. In some embodiments, a system identifies a plurality of time series that track different metrics over time for a set of one or more computing resources. The system detects a first set of anomalies in a first time series that tracks a first metric and assigns a different respective range of time to each anomaly. The system determines whether the respective range of time assigned to an anomaly overlaps with timestamps or ranges of time associated with anomalies from one or more other time series. The system generates at least one cluster that groups metrics based on how many anomalies have respective ranges of time and/or timestamps that overlap. The system may preform, based on the cluster, one or more automated actions for diagnosing or correcting a cause of anomalous behavior.
    Type: Application
    Filed: November 15, 2022
    Publication date: March 9, 2023
    Applicant: Oracle International Corporation
    Inventors: Sampanna Shahaji Salunke, Dario Bahena Tapia, Dustin Garvey, Sumathi Gopalakrishnan, Neil Goodman
  • Patent number: 11533326
    Abstract: Techniques are disclosed for summarizing, diagnosing, and correcting the cause of anomalous behavior in computing systems. In some embodiments, a system identifies a plurality of time series that track different metrics over time for a set of one or more computing resources. The system detects a first set of anomalies in a first time series that tracks a first metric and assigns a different respective range of time to each anomaly. The system determines whether the respective range of time assigned to an anomaly overlaps with timestamps or ranges of time associated with anomalies from one or more other time series. The system generates at least one cluster that groups metrics based on how many anomalies have respective ranges of time and/or timestamps that overlap. The system may preform, based on the cluster, one or more automated actions for diagnosing or correcting a cause of anomalous behavior.
    Type: Grant
    Filed: May 1, 2019
    Date of Patent: December 20, 2022
    Assignee: Oracle International Corporation
    Inventors: Sampanna Shahaji Salunke, Dario Bahena Tapia, Dustin Garvey, Sumathi Gopalakrishnan, Neil Goodman
  • Publication number: 20200351283
    Abstract: Techniques are disclosed for summarizing, diagnosing, and correcting the cause of anomalous behavior in computing systems. In some embodiments, a system identifies a plurality of time series that track different metrics over time for a set of one or more computing resources. The system detects a first set of anomalies in a first time series that tracks a first metric and assigns a different respective range of time to each anomaly. The system determines whether the respective range of time assigned to an anomaly overlaps with timestamps or ranges of time associated with anomalies from one or more other time series. The system generates at least one cluster that groups metrics based on how many anomalies have respective ranges of time and/or timestamps that overlap. The system may preform, based on the cluster, one or more automated actions for diagnosing or correcting a cause of anomalous behavior.
    Type: Application
    Filed: May 1, 2019
    Publication date: November 5, 2020
    Applicant: Oracle International Corporation
    Inventors: Sampanna Shahaji Salunke, Dario Bahena Tapia, Dustin Garvey, Sumathi Gopalakrishnan, Neil Goodman