DATA BACKUP OPTIMIZATION
    2.
    发明申请

    公开(公告)号:US20230097507A1

    公开(公告)日:2023-03-30

    申请号:US17486885

    申请日:2021-09-27

    Applicant: KYNDRYL, INC.

    Abstract: At least one data file for backup can be received. The data file can be divided into a plurality of data blocks. A first portion of the plurality of data blocks can be allocated to a first data processing system for backup by the first data processing system. A second portion of the plurality of data blocks can be allocated to a second data processing system for backup by the second data processing system.

    Architecture generation for standard applications

    公开(公告)号:US12014196B2

    公开(公告)日:2024-06-18

    申请号:US17207815

    申请日:2021-03-22

    Applicant: KYNDRYL, INC.

    CPC classification number: G06F9/45533 G06F17/18 G06N5/04 G06N20/20 G06F9/45541

    Abstract: In an approach to improve the field of architecture generation by dynamically sizing computer system architecture requirements for virtual machines. Embodiments define static parameters and dynamic parameters for customer consuming resources of the computer system architecture and store data of the static parameters and dynamic parameters in data warehouse database (DWDB) tables. Further, embodiments compute, using the data of the DWDB tables, calculate the minimum, maximum, mean and standard deviation (SD) for the user count and the CPU and memory usage, and update the DWDB tables based on the minimum, maximum, and SD values per customer. Additionally, embodiments classify an architecture size associated with each of the customers, create a reference architecture for each of the one or more vertical industries and the architecture size, and optimize, by an analytical database, the computer system architecture provided to one or more customer based on the computed data of the DWDB for the one or more vertical industries.

    ARCHITECTURE GENERATION FOR STANDARD APPLICATIONS

    公开(公告)号:US20220300311A1

    公开(公告)日:2022-09-22

    申请号:US17207815

    申请日:2021-03-22

    Applicant: KYNDRYL, INC.

    Abstract: In an approach to improve the field of architecture generation by dynamically sizing computer system architecture requirements for virtual machines. Embodiments define static parameters and dynamic parameters for customer consuming resources of the computer system architecture and store data of the static parameters and dynamic parameters in data warehouse database (DWDB) tables. Further, embodiments compute, using the data of the DWDB tables, calculate the minimum, maximum, mean and standard deviation (SD) for the user count and the CPU and memory usage, and update the DWDB tables based on the minimum, maximum, and SD values per customer. Additionally, embodiments classify an architecture size associated with each of the customers, create a reference architecture for each of the one or more vertical industries and the architecture size, and optimize, by an analytical database, the computer system architecture provided to one or more customer based on the computed data of the DWDB for the one or more vertical industries.

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