Patents by Inventor Srini V. Srinivasan

Srini V. Srinivasan 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).

  • Method and system of mapreduce implementations on indexed datasets in a distributed database environment
    Patent number: 8775464
    Abstract: In one exemplary embodiment, a method of a distributed database system includes the step receiving a query in a query language from a client with a distributed database system. An index that matches the query is located. The index is pre-generated from a database table in the distributed database system. A map function of a MapReduce programming model is implemented using the index. A reduce function of the MapReduce programming model is implemented using the output of the map function. Optionally, a finalize function can be implemented using the output of the reduce function. The distributed database system can be a scalable NoSQL database. The reduce function can be optional when the value of the output of the map function is guaranteed to be unique.
    Type: Grant
    Filed: October 17, 2012
    Date of Patent: July 8, 2014
    Inventors: Brian J. Bulkowski, Srini V. Srinivasan
  • METHOD AND SYSTEM OF MAPREDUCE IMPLEMENTATIONS ON INDEXED DATASETS IN A DISTRIBUTED DATABASE ENVIRONMENT
    Publication number: 20140108415
    Abstract: In one exemplary embodiment, a method of a distributed database system includes the step receiving a query in a query language from a client with a distributed database system. An index that matches the query is located. The index is pre-generated from a database table in the distributed database system. A map function of a MapReduce programming model is implemented using the index. A reduce function of the MapReduce programming model is implemented using the output of the map function. Optionally, a finalize function can be implemented using the output of the reduce function. The distributed database system can be a scalable NoSQL database. The reduce function can be optional when the value of the output of the map function is guaranteed to be unique.
    Type: Application
    Filed: October 17, 2012
    Publication date: April 17, 2014
    Inventors: Brian J. Bulkowski, Srini V. Srinivasan