Patents by Inventor Muhammad Mudassar NAZAR

Muhammad Mudassar NAZAR 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: 10574545
    Abstract: Exemplary techniques for analytics-driven hybrid concurrency control in clouds are disclosed that include a hybrid resource allocation module that can concurrently utilize an optimistic allocation scheme alongside a pessimistic allocation scheme. Machine learning techniques utilizing previous activity history of applications can be used to train a cluster model that is integrated by a hybrid resource allocation module to classify applications in either a pessimistic cluster or an optimistic cluster that identifies under which scheme requests from the applications will be processed.
    Type: Grant
    Filed: June 11, 2018
    Date of Patent: February 25, 2020
    Assignee: Telefonaktiebolaget LM Ericsson (publ)
    Inventors: Eugen Feller, Julien Forgeat, Muhammad Mudassar Nazar
  • Publication number: 20180295034
    Abstract: Exemplary techniques for analytics-driven hybrid concurrency control in clouds are disclosed that include a hybrid resource allocation module that can concurrently utilize an optimistic allocation scheme alongside a pessimistic allocation scheme. Machine learning techniques utilizing previous activity history of applications can be used to train a cluster model that is integrated by a hybrid resource allocation module to classify applications in either a pessimistic cluster or an optimistic cluster that identifies under which scheme requests from the applications will be processed.
    Type: Application
    Filed: June 11, 2018
    Publication date: October 11, 2018
    Inventors: Eugen FELLER, Julien FORGEAT, Muhammad Mudassar NAZAR
  • Patent number: 10015062
    Abstract: Exemplary techniques for analytics-driven hybrid concurrency control in clouds are disclosed that include a hybrid resource allocation module that can concurrently utilize an optimistic allocation scheme alongside a pessimistic allocation scheme. Machine learning techniques utilizing previous activity history of applications can be used to train a cluster model that is integrated by a hybrid resource allocation module to classify applications in either a pessimistic cluster or an optimistic cluster that identifies under which scheme requests from the applications will be processed.
    Type: Grant
    Filed: November 23, 2015
    Date of Patent: July 3, 2018
    Assignee: Telefonaktiebolaget LM Ericsson (publ)
    Inventors: Eugen Feller, Julien Forgeat, Muhammad Mudassar Nazar
  • Publication number: 20170149630
    Abstract: Exemplary techniques for analytics-driven hybrid concurrency control in clouds are disclosed that include a hybrid resource allocation module that can concurrently utilize an optimistic allocation scheme alongside a pessimistic allocation scheme. Machine learning techniques utilizing previous activity history of applications can be used to train a cluster model that is integrated by a hybrid resource allocation module to classify applications in either a pessimistic cluster or an optimistic cluster that identifies under which scheme requests from the applications will be processed.
    Type: Application
    Filed: November 23, 2015
    Publication date: May 25, 2017
    Inventors: Eugen FELLER, Julien FORGEAT, Muhammad Mudassar NAZAR