Patents by Inventor Daniel Keongson Woo

Daniel Keongson Woo 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).

  • Predicting and managing requests for computing resources or other resources
    Patent number: 11556791
    Abstract: Requests for computing resources and other resources can be predicted and managed. For example, a system can determine a baseline prediction indicating a number of requests for an object over a future time-period. The system can then execute a first model to generate a first set of values based on seasonality in the baseline prediction, a second model to generate a second set of values based on short-term trends in the baseline prediction, and a third model to generate a third set of values based on the baseline prediction. The system can select a most accurate model from among the three models and generate an output prediction by applying the set of values output by the most accurate model to the baseline prediction. Based on the output prediction, the system can cause an adjustment to be made to a provisioning process for the object.
    Type: Grant
    Filed: November 3, 2020
    Date of Patent: January 17, 2023
    Assignee: SAS INSTITUTE INC.
    Inventors: Kedar Shriram Prabhudesai, Varunraj Valsaraj, Jinxin Yi, Daniel Keongson Woo, Roger Lee Baldridge, Jr.
  • PREDICTING AND MANAGING REQUESTS FOR COMPUTING RESOURCES OR OTHER RESOURCES
    Publication number: 20210312277
    Abstract: Requests for computing resources and other resources can be predicted and managed. For example, a system can determine a baseline prediction indicating a number of requests for an object over a future time-period. The system can then execute a first model to generate a first set of values based on seasonality in the baseline prediction, a second model to generate a second set of values based on short-term trends in the baseline prediction, and a third model to generate a third set of values based on the baseline prediction. The system can select a most accurate model from among the three models and generate an output prediction by applying the set of values output by the most accurate model to the baseline prediction. Based on the output prediction, the system can cause an adjustment to be made to a provisioning process for the object.
    Type: Application
    Filed: November 3, 2020
    Publication date: October 7, 2021
    Applicant: SAS Institute Inc.
    Inventors: Kedar Shriram Prabhudesai, Varunraj Valsaraj, Jinxin Yi, Daniel Keongson Woo, Roger Lee Baldridge, JR.