Patents by Inventor Vineet Bharti

Vineet Bharti 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: 9760836
    Abstract: A plurality of data keys are associated with a plurality of type values; query frequencies of the data keys are known. A computer memory is divided into a plurality of tranches, each tranche including a probabilistic or non-probabilistic data structure. The data keys are stored in the tranches in accordance with their query frequencies such that, e.g., frequently queried data keys are stored in data structures having higher accuracy and infrequently queried keys are stored in data structure having less accuracy (and consequently require less memory space).
    Type: Grant
    Filed: September 15, 2014
    Date of Patent: September 12, 2017
    Assignee: GUAVUS, INC.
    Inventors: Nikhil Shirish Ketkar, Vineet Bharti, Gaurav Mishra, Olivier Mirandette
  • Patent number: 9646253
    Abstract: This disclosure is directed to techniques for inferring traffic information or estimating total volume of traffic/data flowing through a target network/entity, wherein only a partial subset of inferred traffic information or volume of data is available to a predictor entity/network that infers such traffic information. In an embodiment, such partial subset of total traffic can either be made available to the entity/network for inferring and estimating total traffic or such partial data can actually flow through the entity/network.
    Type: Grant
    Filed: November 24, 2011
    Date of Patent: May 9, 2017
    Assignee: GUAVUS, INC.
    Inventors: Pankaj Kankar, Anukool Lakhina, Vineet Bharti
  • Publication number: 20150081710
    Abstract: A plurality of data keys are associated with a plurality of type values; query frequencies of the data keys are known. A computer memory is divided into a plurality of tranches, each tranche including a probabilistic or non-probabilistic data structure. The data keys are stored in the tranches in accordance with their query frequencies such that, e.g., frequently queried data keys are stored in data structures having higher accuracy and infrequently queried keys are stored in data structure having less accuracy (and consequently require less memory space).
    Type: Application
    Filed: September 15, 2014
    Publication date: March 19, 2015
    Inventors: Nikhil Shirish Ketkar, Vineet Bharti, Gaurav Mishra, Olivier Mirandette
  • Publication number: 20130304692
    Abstract: This disclosure is directed to techniques for inferring traffic information or estimating total volume of traffic/data flowing through a target network/entity, wherein only a partial subset of inferred traffic information or volume of data is available to a predictor entity/network that infers such traffic information. In an embodiment, such partial subset of total traffic can either be made available to the entity/network for inferring and estimating total traffic or such partial data can actually flow through the entity/network.
    Type: Application
    Filed: November 24, 2011
    Publication date: November 14, 2013
    Applicant: Guavus Network Systems PVT. LTD
    Inventors: Pankaj Kankar, Anukool Lakhina, Vineet Bharti