Patents by Inventor Jyothish Soman

Jyothish Soman 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).

  • Distributed data scalable adaptive map-reduce framework
    Patent number: 9053067
    Abstract: A method, an apparatus and an article of manufacture for generating a distributed data scalable adaptive map-reduce framework for at least one multi-core cluster. The method includes partitioning a cluster into at least one computational group, determining at least one key-group leader within each computational group, performing a local combine operation at each computational group, performing a global combine operation at each of the at least one key-group leader within each computational group based on a result from the local combine operation, and performing a global map-reduce operation across the at least one key-group leader within each computational group.
    Type: Grant
    Filed: September 30, 2011
    Date of Patent: June 9, 2015
    Assignee: International Business Machines Corporation
    Inventors: Ankur Narang, Jyothish Soman
  • Distributed scalable clustering and community detection
    Patent number: 8990209
    Abstract: Techniques, an apparatus and an article of manufacture for distributed scalable clustering and community detection. A method includes generating a label for each node in a graph, wherein said label identifies a community in which a node participates, propagating each label locally within two or more segments of the graph based on a participation percentage of each node in at least one identified community within the graph, and deriving at least one cluster of nodes in the graph that corresponds to the at least one identified community based on said propagating.
    Type: Grant
    Filed: September 6, 2012
    Date of Patent: March 24, 2015
    Assignee: International Business Machines Corporation
    Inventors: Ankur Narang, Jyothish Soman
  • Distributed data scalable adaptive map-reduce framework
    Patent number: 8959138
    Abstract: A method for generating a distributed data scalable adaptive map-reduce framework for at least one multi-core cluster. The method includes partitioning a cluster into at least one computational group, determining at least one key-group leader within each computational group, performing a local combine operation at each computational group, performing a global combine operation at each of the at least one key-group leader within each computational group based on a result from the local combine operation, and performing a global map-reduce operation across the at least one key-group leader within each computational group.
    Type: Grant
    Filed: August 1, 2012
    Date of Patent: February 17, 2015
    Assignee: International Business Machines Corporation
    Inventors: Ankur Narang, Jyothish Soman
  • Distributed Scalable Clustering and Community Detection
    Publication number: 20140067808
    Abstract: Techniques, an apparatus and an article of manufacture for distributed scalable clustering and community detection. A method includes generating a label for each node in a graph, wherein said label identifies a community in which a node participates, propagating each label locally within two or more segments of the graph based on a participation percentage of each node in at least one identified community within the graph, and deriving at least one cluster of nodes in the graph that corresponds to the at least one identified community based on said propagating.
    Type: Application
    Filed: September 6, 2012
    Publication date: March 6, 2014
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Ankur Narang, Jyothish Soman
  • Distributed Data Scalable Adaptive Map-Reduce Framework
    Publication number: 20130086356
    Abstract: A method for generating a distributed data scalable adaptive map-reduce framework for at least one multi-core cluster. The method includes partitioning a cluster into at least one computational group, determining at least one key-group leader within each computational group, performing a local combine operation at each computational group, performing a global combine operation at each of the at least one key-group leader within each computational group based on a result from the local combine operation, and performing a global map-reduce operation across the at least one key-group leader within each computational group.
    Type: Application
    Filed: August 1, 2012
    Publication date: April 4, 2013
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Ankur Narang, Jyothish Soman
  • Distributed Data Scalable Adaptive Map-Reduce Framework
    Publication number: 20130086355
    Abstract: A method, an apparatus and an article of manufacture for generating a distributed data scalable adaptive map-reduce framework for at least one multi-core cluster. The method includes partitioning a cluster into at least one computational group, determining at least one key-group leader within each computational group, performing a local combine operation at each computational group, performing a global combine operation at each of the at least one key-group leader within each computational group based on a result from the local combine operation, and performing a global map-reduce operation across the at least one key-group leader within each computational group.
    Type: Application
    Filed: September 30, 2011
    Publication date: April 4, 2013
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Ankur Narang, Jyothish Soman