INTELLIGENT POWER LOSS PROTECTION ALLOCATION

    公开(公告)号:US20230342243A1

    公开(公告)日:2023-10-26

    申请号:US18340057

    申请日:2023-06-23

    CPC classification number: G06F3/0619 G06F3/061 G06F3/0679

    Abstract: A storage system has zones in solid-state storage memory, with power loss protection. The system identifies portions of data for processes that utilize power loss protection. The system determines to activate or deactivate power loss protection for the portions of data for the processes. The system tracks activation and deactivation of power loss protection in zones in the solid-state storage memory, in accordance with the portions of data having power loss protection activated or deactivated.

    OPTIMIZED MACHINE LEARNING TELEMETRY PROCESSING FOR A CLOUD BASED STORAGE SYSTEM

    公开(公告)号:US20230409547A1

    公开(公告)日:2023-12-21

    申请号:US18459898

    申请日:2023-09-01

    CPC classification number: G06F16/22 G06N20/00 G11B33/125

    Abstract: Data associated with a first storage media of a cloud-based storage system is provided as an input to a machine learning model executed by a processing device that identifies one or more characteristics of the first storage media from the data. A type of change associated with the second storage media is determined by the machine learning model based on a comparison of the one or more characteristics of the first storage media and one or more characteristics of a second storage media. The type of change associated with the second storage media is provided to a cloud services provider of the cloud-based storage system.

    UTILIZING MACHINE LEARNING FOR PROCESSING OF MANAGED FLASH STORAGE DEVICES

    公开(公告)号:US20240394235A1

    公开(公告)日:2024-11-28

    申请号:US18794641

    申请日:2024-08-05

    Abstract: Data associated with a first set of managed flash storage devices of a cloud-based storage system is provided as an input to a machine learning model executed by a processing device that identifies one or more characteristics of the first set of managed flash storage devices from the data. A type of change associated with a second set of managed flash storage devices is determined by the machine learning model based on a comparison of the one or more characteristics of the first set of managed flash storage devices and one or more characteristics of the second set of managed flash storage devices. The type of change associated with the second set of managed flash storage devices is provided to a cloud services provider of the cloud-based storage system.

    OPTIMIZING DATA SEGMENT STORAGE USING DIFFERENT PROGRAMMING MODES

    公开(公告)号:US20250053330A1

    公开(公告)日:2025-02-13

    申请号:US18890570

    申请日:2024-09-19

    Abstract: A data segment to be stored at one or more storage devices is formed, wherein the data segment is to be stored at the one or more storage devices using a first programming mode having a first page size. A determination that a fragment of data of the data segment is less than the first page size is made. The fragment of data is stored at the one or more storage devices using a second programming mode having a second page size that is less than the first page size and the remaining data of the data segment is stored at the one or more storage device using the first programming mode.

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