Patents by Inventor Sibel Kadioglu

Sibel Kadioglu 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).

  • Predictive reserved instance for hyperscaler management
    Patent number: 11151012
    Abstract: An example system and method to provide a dashboard for users to analyze and review their hyper-scaler usage and spending and offer optimizations to predict optimal use of reserved and unreserved instances on various hyper-scaler platforms. While hyper-scaler platforms offer flexibility for users to scale their use on a platform, there is a potential risk of rapid cost overruns in large enterprise organizations that may be difficult to control and predict. In some examples, the system can determine an optimal number of reserved instances using past usage data and/or prediction data from a user may be used by the system to make forward predictions about reserving an optimal number of instances and minimizing hyper-scaler resource use.
    Type: Grant
    Filed: January 24, 2020
    Date of Patent: October 19, 2021
    Assignee: NETAPP, INC.
    Inventors: Jason Sprague, Nir Nossenson, Sibel Kadioglu, Ravi Kesarwani, Omri Kessel
  • PREDICTIVE RESERVED INSTANCE FOR HYPERSCALER MANAGEMENT
    Publication number: 20210232479
    Abstract: An example system and method to provide a dashboard for users to analyze and review their hyper-scaler usage and spending and offer optimizations to predict optimal use of reserved and unreserved instances on various hyper-scaler platforms. While hyper-scaler platforms offer flexibility for users to scale their use on a platform, there is a potential risk of rapid cost overruns in large enterprise organizations that may be difficult to control and predict. In some examples, the system can determine an optimal number of reserved instances using past usage data and/or prediction data from a user may be used by the system to make forward predictions about reserving an optimal number of instances and minimizing hyper-scaler resource use.
    Type: Application
    Filed: January 24, 2020
    Publication date: July 29, 2021
    Inventors: Jason Sprague, Nir Nossenson, Sibel Kadioglu, Ravi Kesarwani, Omri Kessel