Patents by Inventor Kristopher T. Lange

Kristopher T. Lange 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).

  • Data replication in a distributed storage system
    Patent number: 11120046
    Abstract: Data is replicated between primary and secondary storage systems using a data pulling process or a log shipping process. If data is to be replicated through the log shipping process, a transaction and its associated data get stored in a transaction log in the secondary storage system. Subsequently, when the transaction gets executed, actual data gets persisted from the transaction log to a data log in the secondary storage system. If the data is to be replicated through the data pulling process, the transaction is stored in the transaction log. However, the associated data for the transaction is retrieved from the first primary storage system and stored directly in the data log in the secondary system.
    Type: Grant
    Filed: March 21, 2019
    Date of Patent: September 14, 2021
    Assignee: MICROSOFT TECHNOLOGY LICENSING LLC
    Inventors: Pradeep Seela, Pei Zhang, Yongfu Lou, Jegan Devaraju, Krishnan Varadarajan, Yi-Fan Tsai, Maneesh Sah, Kristopher T. Lange, Shane K. Mainali
  • Data partitioning in a distributed storage system
    Patent number: 10817197
    Abstract: A distributed storage system includes multiple partitions. A block received for storage is striped across the partitions if it meets predetermined criteria. Multiple tables are maintained for indexing the blocks and the subblocks of blocks that are partitioned. The tables for the subblocks and the tables for the corresponding blocks of the subblocks are updated to include metadata for the subblocks for retrieving the subblocks in response to a request for a corresponding stored block.
    Type: Grant
    Filed: February 19, 2019
    Date of Patent: October 27, 2020
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Jegan Devaraju, Pradeep Seela, Yi-Fan Tsai, Yongfu Lou, Kristopher T. Lange, Pei Zhang, Maneesh Sah, Shane K. Mainali
  • DATA REPLICATION IN A DISTRIBUTED STORAGE SYSTEM
    Publication number: 20190340185
    Abstract: Data is replicated between primary and secondary storage systems using a data pulling process or a log shipping process. If data is to be replicated through the log shipping process, a transaction and its associated data get stored in a transaction log in the secondary storage system. Subsequently, when the transaction gets executed, actual data gets persisted from the transaction log to a data log in the secondary storage system. If the data is to be replicated through the data pulling process, the transaction is stored in the transaction log. However, the associated data for the transaction is retrieved from the first primary storage system and stored directly in the data log in the secondary system.
    Type: Application
    Filed: March 21, 2019
    Publication date: November 7, 2019
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Pradeep Seela, Pei Zhang, Yongfu Lou, Jegan Devaraju, Krishnan Varadarajan, Yi-Fan Tsai, Maneesh Sah, Kristopher T. Lange, Shane K. Mainali
  • DATA PARTITIONING IN A DISTRIBUTED STORAGE SYSTEM
    Publication number: 20190339886
    Abstract: A distributed storage system includes multiple partitions. A block received for storage is striped across the partitions if it meets predetermined criteria. Multiple tables are maintained for indexing the blocks and the subblocks of blocks that are partitioned. The tables for the subblocks and the tables for the corresponding blocks of the subblocks are updated to include metadata for the subblocks for retrieving the subblocks in response to a request for a corresponding stored block.
    Type: Application
    Filed: February 19, 2019
    Publication date: November 7, 2019
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Jegan DEVARAJU, Pradeep Seela, Yi-Fan Tsai, Yongfu Lou, Kristopher T. Lange, Pei Zhang, Maneesh Sah, Shane K. Mainali