Patents by Inventor Pragati Kumar Dhingra

Pragati Kumar Dhingra 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: 10686867
    Abstract: In various embodiments, streaming data records, files or file segments transmitted from multiple resources in a multi-threaded environment are sorted into one or more time windows via use of one or more execution threads; the records, files or file segments in each time window are displayed, analyzed or delivered to various applications or destinations.
    Type: Grant
    Filed: May 12, 2017
    Date of Patent: June 16, 2020
    Assignee: GUAVUS, INC.
    Inventors: Priyanka Bhaskar, Sucheta Dahiya, Pragati Kumar Dhingra, Mohit Gupta, Devang Sethi
  • Patent number: 10466934
    Abstract: In various embodiments, network-traffic records overlapping multiple binning windows are prorated such that partial records are stored in each binning window of overlap. In addition, the full, non-prorated record is stored in at least one of the binning windows.
    Type: Grant
    Filed: May 12, 2017
    Date of Patent: November 5, 2019
    Assignee: GUAVUS, INC.
    Inventors: Pragati Kumar Dhingra, Priyanka Bhaskar, Sucheta Dahiya, Devang Sethi, Mohit Gupta
  • Publication number: 20180331922
    Abstract: In various embodiments, network-traffic records overlapping multiple binning windows are prorated such that partial records are stored in each binning window of overlap. In addition, the full, non-prorated record is stored in at least one of the binning windows.
    Type: Application
    Filed: May 12, 2017
    Publication date: November 15, 2018
    Inventors: Pragati Kumar Dhingra, Priyanka Bhaskar, Sucheta Dahiya, Devang Sethi, Mohit Gupta
  • Publication number: 20180331963
    Abstract: A method for identifying an ingress router with collected IP network traffic data captured at an egress router is described. The method includes receiving, at a learning database, an ingress network traffic data flow exported from the ingress router and an ingress interface. The method then proceeds to receive, at a flow processing module, an egress network traffic data flow exported from the egress router and an egress interface. The method then enables the flow processing module to query the learning database with the egress network traffic data flow. The method determines the ingress router corresponding to the egress network traffic data flow, when the learning database matches the egress network traffic data flow with the ingress network traffic data flow.
    Type: Application
    Filed: May 12, 2017
    Publication date: November 15, 2018
    Inventors: Mohinder Paul, Pragati Kumar Dhingra, Aditya Kumar, Atul Saraf
  • Publication number: 20180332100
    Abstract: In various embodiments, streaming data records, files or file segments transmitted from multiple resources in a multi-threaded environment are sorted into one or more time windows via use of one or more execution threads; the records, files or file segments in each time window are displayed, analyzed or delivered to various applications or destinations.
    Type: Application
    Filed: May 12, 2017
    Publication date: November 15, 2018
    Inventors: Priyanka Bhaskar, Sucheta Dahiya, Pragati Kumar Dhingra, Mohit Gupta, Devang Sethi
  • Publication number: 20180300663
    Abstract: A system and method for determining a peer business relationship value is described. The system and method enables at least one peer to communicate with a communications service provider (CSP). The CSP includes a CSP sub-system that determines a data traffic flow for each peer. The CSP sub-system also receives peer information including a total network cost for each peer. The total network cost includes a network asset cost. Additionally, the CSP sub-system determines an attributed revenue for each peer. The CSP sub-system then proceeds to calculate a net margin by subtracting the total network cost from the attributed revenue. The CSP sub-system then calculates the margin per unit traffic by taking the net margin and dividing by the data traffic flow. The CSP sub-system then calculates the net margin percentage by taking the net margin and dividing it by the attributed revenue.
    Type: Application
    Filed: April 17, 2017
    Publication date: October 18, 2018
    Inventors: Mohinder Paul, Aditya Kumar, Pragati Kumar Dhingra