Patents by Inventor Vipin Kumar Kukkala

Vipin Kumar Kukkala 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: 11644882
    Abstract: One embodiment provides a system and method for predicting network power usage associated with workloads. During operation, the system configures a simulator to simulate operations of a plurality of network components, which comprises embedding one or more event counters in each simulated network component. A respective event counter is configured to count a number of network-power-related events. The system collects, based on values of the event counters, network-power-related performance data associated with one or more sample workloads applied to the simulator; and trains a machine-learning model with the collected network-power-related performance data and characteristics of the sample workloads as training data 1, thereby facilitating prediction of network-power-related performance associated with a to-be-evaluated workload.
    Type: Grant
    Filed: June 2, 2021
    Date of Patent: May 9, 2023
    Assignee: Hewlett Packard Enterprise Development LP
    Inventors: Harumi Kuno, Alan Davis, Torsten Wilde, Daniel William Dauwe, Duncan Roweth, Ryan Dean Menhusen, Sergey Serebryakov, John L. Byrne, Vipin Kumar Kukkala, Sai Rahul Chalamalasetti
  • Publication number: 20220390999
    Abstract: One embodiment provides a system and method for predicting network power usage associated with workloads. During operation, the system configures a simulator to simulate operations of a plurality of network components, which comprises embedding one or more event counters in each simulated network component. A respective event counter is configured to count a number of network-power-related events. The system collects, based on values of the event counters, network-power-related performance data associated with one or more sample workloads applied to the simulator; and trains a machine-learning model with the collected network-power-related performance data and characteristics of the sample workloads as training data 1, thereby facilitating prediction of network-power-related performance associated with a to-be-evaluated workload.
    Type: Application
    Filed: June 2, 2021
    Publication date: December 8, 2022
    Inventors: Harumi Kuno, Alan Davis, Torsten Wilde, Daniel William Dauwe, Duncan Roweth, Ryan Dean Menhusen, Sergey Serebryakov, John L. Byrne, Vipin Kumar Kukkala, Sai Rahul Chalamalasetti