Patents by Inventor Stanislav Vladimirovich MOISEEV

Stanislav Vladimirovich MOISEEV 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 similarity-based deduplication
    Patent number: 11514666
    Abstract: A method of similarity-based deduplication comprising the steps of: receiving an input data block; computing discrete wavelet transform (DWT) coefficients; extracting feature-related DWT data from the computed DWT coefficients; applying quantization to the extracted feature-related DWT data to obtain keys as results of the quantization; constructing a locality-sensitive fingerprint of the input data block; computing a similarity degree between the locality-sensitive fingerprint of the input data block and a locality-sensitive fingerprint of each data block in the plurality of the data blocks in a cache memory; selecting an optimal reference data block as the data block; determining a differential compression is required to be applied based on the similarity degree between the input data block and the optimal reference data block; applying the differential compression to the input data block and the optimal reference data block.
    Type: Grant
    Filed: June 14, 2019
    Date of Patent: November 29, 2022
    Assignee: Huawei Technologies Co., Ltd.
    Inventors: Stanislav Vladimirovich Moiseev, Denis Vasilievich Parfenov, Denis Vladimirovich Parkhomenko, Dmitry Nicolaevich Babin, Kun Guan
  • METHOD AND SYSTEM OF SIMILARITY-BASED DEDUPLICATION
    Publication number: 20190294589
    Abstract: A method of similarity-based deduplication comprising the steps of: receiving an input data block; computing discrete wavelet transform (DWT) coefficients; extracting feature-related DWT data from the computed DWT coefficients; applying quantization to the extracted feature-related DWT data to obtain keys as results of the quantization; constructing a locality-sensitive fingerprint of the input data block; computing a similarity degree between the locality-sensitive fingerprint of the input data block and a locality-sensitive fingerprint of each data block in the plurality of the data blocks in a cache memory; selecting an optimal reference data block as the data block; determining a differential compression is required to be applied based on the similarity degree between the input data block and the optimal reference data block; applying the differential compression to the input data block and the optimal reference data block.
    Type: Application
    Filed: June 14, 2019
    Publication date: September 26, 2019
    Inventors: Stanislav Vladimirovich MOISEEV, Denis Vasilievich PARFENOV, Denis Vladimirovich PARKHOMENKO, Dmitry Nicolaevich BABIN, Kun GUAN