Patents by Inventor Mehiar DABBAGH

Mehiar DABBAGH 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).

  • Enhanced cloud demand prediction for smart data centers
    Patent number: 10084658
    Abstract: Techniques are provided for predictively activating physical servers. Embodiments determine a plurality of physical servers that are available within one or more data centers. A plurality of virtual workload deployment requests that were processed within the one or more data centers during a historical window of time is determined. Embodiments classify each of the plurality of virtual workload deployment requests into one of a plurality of categories. A respective neural network prediction model is generated for each of the plurality of categories, based on the virtual workload deployment requests classified into the respective category. Embodiments then determine a number of physical servers to have active at a future moment in time, using the generated neural network prediction models.
    Type: Grant
    Filed: September 28, 2015
    Date of Patent: September 25, 2018
    Assignee: Cisco Technology, Inc.
    Inventors: Mehiar Dabbagh, Ammar Rayes
  • ENHANCED CLOUD DEMAND PREDICTION FOR SMART DATA CENTERS
    Publication number: 20170093639
    Abstract: Techniques are provided for predictively activating physical servers. Embodiments determine a plurality of physical servers that are available within one or more data centers. A plurality of virtual workload deployment requests that were processed within the one or more data centers during a historical window of time is determined. Embodiments classify each of the plurality of virtual workload deployment requests into one of a plurality of categories. A respective neural network prediction model is generated for each of the plurality of categories, based on the virtual workload deployment requests classified into the respective category. Embodiments then determine a number of physical servers to have active at a future moment in time, using the generated neural network prediction models.
    Type: Application
    Filed: September 28, 2015
    Publication date: March 30, 2017
    Inventors: Mehiar DABBAGH, Ammar RAYES