Patents by Inventor Karin GENTHER

Karin GENTHER 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: 11663039
    Abstract: Aspects of the invention include determining, by a machine learning model, a predicted workload for a system and a current system state of the system, determining an action to be enacted for the system based at least in part on the predicted workload and the current system state, enacting the action for the system, evaluating a state of the system after the action has been enacted, determining a reward for the machine learning model based at least in part on the state of the system after the action has been enacted, and updating the machine learning model based on the reward.
    Type: Grant
    Filed: April 7, 2020
    Date of Patent: May 30, 2023
    Assignee: International Business Machines Corporation
    Inventors: Elpida Tzortzatos, Anastasiia Didkovska, Karin Genther, Toni Pohl, Dieter Wellerdiek, Marco Selig, Tobias Huschle
  • Publication number: 20210311786
    Abstract: Aspects of the invention include determining, by a machine learning model, a predicted workload for a system and a current system state of the system, determining an action to be enacted for the system based at least in part on the predicted workload and the current system state, enacting the action for the system, evaluating a state of the system after the action has been enacted, determining a reward for the machine learning model based at least in part on the state of the system after the action has been enacted, and updating the machine learning model based on the reward.
    Type: Application
    Filed: April 7, 2020
    Publication date: October 7, 2021
    Inventors: Elpida Tzortzatos, Anastasiia Didkovska, Karin Genther, Toni Pohl, Dieter Wellerdiek, Marco Selig, Tobias Huschle
  • Patent number: 9053221
    Abstract: A method of performance monitoring in a data processing environment is provided. The data processing environment includes multiple systems, each of which has resources. Each resource relates to a resource type, wherein at least one performance parameter is defined for each resource type. The method includes determining a value of the at least one performance parameter for at least one resource, aggregating performance parameter values and related resources of a resource type, creating for at least a part of the resources a next predefined aggregation level which includes all resources relating to the resource type and associating all performance parameter values to this aggregation level, and repeating the creating for at least a part of the resources a next predefined aggregation level until a predefined target aggregation level of the data processing environment has been reached.
    Type: Grant
    Filed: December 6, 2011
    Date of Patent: June 9, 2015
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Harald Bender, Karin Genther, Peter Mailand
  • Patent number: 9043185
    Abstract: A method of performance monitoring in a data processing environment is provided. The data processing environment includes multiple systems, each of which has resources. Each resource relates to a resource type, wherein at least one performance parameter is defined for each resource type. The method includes determining a value of the at least one performance parameter for at least one resource, aggregating performance parameter values and related resources of a resource type, creating for at least a part of the resources a next predefined aggregation level which includes all resources relating to the resource type and associating all performance parameter values to this aggregation level, and repeating the creating for at least a part of the resources a next predefined aggregation level until a predefined target aggregation level of the data processing environment has been reached.
    Type: Grant
    Filed: November 7, 2012
    Date of Patent: May 26, 2015
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Harald Bender, Karin Genther, Peter Mailand
  • Publication number: 20120226478
    Abstract: A method of performance monitoring in a data processing environment is provided. The data processing environment includes multiple systems, each of which has resources. Each resource relates to a resource type, wherein at least one performance parameter is defined for each resource type. The method includes determining a value of the at least one performance parameter for at least one resource, aggregating performance parameter values and related resources of a resource type, creating for at least a part of the resources a next predefined aggregation level which includes all resources relating to the resource type and associating all performance parameter values to this aggregation level, and repeating the creating for at least a part of the resources a next predefined aggregation level until a predefined target aggregation level of the data processing environment has been reached.
    Type: Application
    Filed: December 6, 2011
    Publication date: September 6, 2012
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Harald BENDER, Karin GENTHER, Peter MAILAND