Patents by Inventor Raymon Morcos

Raymon Morcos 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).

  • Deploying software in a multi-instance node
    Patent number: 9619288
    Abstract: A system for deploying big data software in a multi-instance node. The optimal CPU memory and core configuration for a single instance database is determined. After determining an optimal core-memory ratio for a single instance execution, the software is deployed in multi-instance mode on single machine by applying the optimal core-memory ratio for each of the instances. The multi-instance database may then be deployed and data may be loaded in parallel for the instances.
    Type: Grant
    Filed: July 28, 2016
    Date of Patent: April 11, 2017
    Assignee: Silicon Graphics International Corp.
    Inventors: Sanhita Sarkar, Raymon Morcos
  • DEPLOYING SOFTWARE IN A MULTI-INSTANCE NODE
    Publication number: 20170031720
    Abstract: A system for deploying big data software in a multi-instance node. The optimal CPU memory and core configuration for a single instance database is determined. After determining an optimal core-memory ratio for a single instance execution, the software is deployed in multi-instance mode on single machine by applying the optimal core-memory ratio for each of the instances. The multi-instance database may then be deployed and data may be loaded in parallel for the instances.
    Type: Application
    Filed: July 28, 2016
    Publication date: February 2, 2017
    Inventors: Sanhita Sarkar, Raymon Morcos
  • Deploying software in a multi-instance node
    Patent number: 9424091
    Abstract: A system for deploying big data software in a multi-instance node. The optimal CPU memory and core configuration for a single instance database is determined. After determining an optimal core-memory ratio for a single instance execution, the software is deployed in multi-instance mode on single machine by applying the optimal core-memory ratio for each of the instances. The multi-instance database may then be deployed and data may be loaded in parallel for the instances.
    Type: Grant
    Filed: April 30, 2014
    Date of Patent: August 23, 2016
    Assignee: SILICON GRAPHICS INTERNATIONAL CORP.
    Inventors: Sanhita Sarkar, Raymon Morcos
  • DEPLOYING BIG DATA SOFTWARE IN A MULTI-INSTANCE NODE
    Publication number: 20140331239
    Abstract: A system for deploying big data software in a multi-instance node. The optimal CPU memory and core configuration for a single instance database is determined. After determining an optimal core-memory ratio for a single instance execution, the software is deployed in multi-instance mode on single machine by applying the optimal core-memory ratio for each of the instances. The multi-instance database may then be deployed and data may be loaded in parallel for the instances.
    Type: Application
    Filed: April 30, 2014
    Publication date: November 6, 2014
    Applicant: Silicon Graphics International Corp.
    Inventors: Sanhita Sarkar, Raymon Morcos
  • SOFTWARE DESIGN PATTERN FOR ADAPTING A GRAPH DATABASE VISUALIZATION SOFTWARE
    Publication number: 20140330867
    Abstract: An adapter retrieves graph data from one or more graph databases and adapts the data to be shown through a visualization tool. The adapter may be used to convert multiple formats of graph data into a format which is readable and useable by the visualization tool. The adapter module may make a connection with a graph database and query the database for particular graph data. Once retrieved, the stream of retrieved graph data may be used to populate a template in Java form. From the template, the visualization tool may provide a visualization of the retrieved data.
    Type: Application
    Filed: April 30, 2014
    Publication date: November 6, 2014
    Applicant: Silicon Graphics International Corp.
    Inventors: Sanhita Sarkar, Raymon Morcos