Patents by Inventor Yewei Zhang

Yewei Zhang 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 for storing binary large objects (BLObs) in a distributed key-value storage system
    Patent number: 9002907
    Abstract: A technique for storing binary large objects (BLObs) in a distributed key-value storage system is disclosed. In an embodiment, the storage of BLObs involves dividing the BLObs into smaller “BLOb chunks” and storing the BLOb chunks in storage nodes of the distributed key-value storage system. A BLOb is first associated with a key, referred to as a “BLOb key,” and each subsequent BLOb chunk is associated with a different unique key, referred to as a “BLOb chunk key.” A list of the BLOb chunks keys is maintained and all of the BLOb chunks of the BLOb can be retrieved from the distributed key-value storage system using the BLOb chunks key list.
    Type: Grant
    Filed: December 24, 2010
    Date of Patent: April 7, 2015
    Assignee: Unwired Planet, LLC
    Inventors: Marcelo San Martin, Patricio Echague, Amit Sinha, Indranath Ghosh, Yewei Zhang
  • Interest-Driven Business Intelligence Systems and Methods of Data Analysis Using Interest-Driven Data Pipelines
    Publication number: 20130238551
    Abstract: Interest-driven Business Intelligence (BI) systems in accordance with embodiments of the invention are illustrated. In one embodiment of the invention, a data processing system includes raw data storage containing raw data, metadata storage containing metadata that describes the raw data, and an interest-driven data pipeline that is automatically compiled to generate reporting data using the raw data, wherein the interest-driven data pipeline is compiled based upon reporting data requirements automatically derived from at least one report specification defined using the metadata.
    Type: Application
    Filed: April 26, 2013
    Publication date: September 12, 2013
    Applicant: Platfora, Inc.
    Inventors: John Glenn Eshleman, Benjamin Mark Werther, Kevin Scott Beyer, Brian F. Baboock, Yewei Zhang
  • Interest-driven business intelligence systems and methods of data analysis using interest-driven data pipelines
    Patent number: 8447721
    Abstract: Interest-driven Business Intelligence (BI) systems in accordance with embodiments of the invention are illustrated. In one embodiment of the invention, a data processing system includes raw data storage containing raw data, metadata storage containing metadata that describes the raw data, and an interest-driven data pipeline that is automatically compiled to generate reporting data using the raw data, wherein the interest-driven data pipeline is compiled based upon reporting data requirements automatically derived from at least one report specification defined using the metadata.
    Type: Grant
    Filed: February 29, 2012
    Date of Patent: May 21, 2013
    Assignee: Platfora, Inc.
    Inventors: John Glenn Eshleman, Benjamin Mark Werther, Kevin Scott Beyer, Brian F. Babcock, Yewei Zhang
  • Interest-Driven Business Intelligence Systems and Methods of Data Analysis Using Interest-Driven Data Pipelines
    Publication number: 20130013552
    Abstract: Interest-driven Business Intelligence (BI) systems in accordance with embodiments of the invention are illustrated. In one embodiment of the invention, a data processing system includes raw data storage containing raw data, metadata storage containing metadata that describes the raw data, and an interest-driven data pipeline that is automatically compiled to generate reporting data using the raw data, wherein the interest-driven data pipeline is compiled based upon reporting data requirements automatically derived from at least one report specification defined using the metadata.
    Type: Application
    Filed: February 29, 2012
    Publication date: January 10, 2013
    Applicant: Platfora, Inc.
    Inventors: John Glenn Eshleman, Benjamin Mark Werther, Kevin Scott Beyer, Brian F. Babcock, Yewei Zhang
  • METHOD AND SYSTEM FOR STORING BINARY LARGE OBJECTS (BLObs) IN A DISTRIBUTED KEY-VALUE STORAGE SYSTEM
    Publication number: 20120054197
    Abstract: A technique for storing binary large objects (BLObs) in a distributed key-value storage system is disclosed. In an embodiment, the storage of BLObs involves dividing the BLObs into smaller “BLOb chunks” and storing the BLOb chunks in storage nodes of the distributed key-value storage system. A BLOb is first associated with a key, referred to as a “BLOb key,” and each subsequent BLOb chunk is associated with a different unique key, referred to as a “BLOb chunk key.” A list of the BLOb chunks keys is maintained and all of the BLOb chunks of the BLOb can be retrieved from the distributed key-value storage system using the BLOb chunks key list.
    Type: Application
    Filed: December 24, 2010
    Publication date: March 1, 2012
    Applicant: OPENWAVE SYSTEMS INC.
    Inventors: Marcelo San Martin, Patricio Echague, Amit Sinha, Indranath Ghosh, Yewei Zhang