PROVIDING DATA MANAGEMENT AS-A-SERVICE

    公开(公告)号:US20210349657A1

    公开(公告)日:2021-11-11

    申请号:US17214426

    申请日:2021-03-26

    发明人: Prakash Darji

    IPC分类号: G06F3/06 H04L29/06

    摘要: Providing data management as-a-service, including: presenting one or more available data services to a user; receiving a selection of one or more selected data services; and applying, in dependence upon the one or more selected data services, one or more data services policies to a dataset associated with the user.

    MACHINE LEARNING MODEL FOR STORAGE SYSTEM

    公开(公告)号:US20230039564A1

    公开(公告)日:2023-02-09

    申请号:US17947975

    申请日:2022-09-19

    IPC分类号: G06F16/22 G06N20/00

    摘要: Data associated with storage media utilized by one or more storage systems is received. The data is provided as an input to a machine learning model executed by a processing device. The machine learning model identifies one or more deterministic characteristics from the data. The one or more deterministic characteristics associated with the storage media are received from the machine learning model. A data structure comprising the one or more deterministic characteristics is generated for use in a telemetry process to qualify types of storage media.

    UTILIZING MACHINE LEARNING TO STREAMLINE TELEMETRY PROCESSING OF STORAGE MEDIA

    公开(公告)号:US20210334253A1

    公开(公告)日:2021-10-28

    申请号:US16857388

    申请日:2020-04-24

    IPC分类号: G06F16/22 G06N20/00

    摘要: Data associated with storage media utilized by one or more storage systems is received. The data is provided as an input to a machine learning model executed by a processing device. The machine learning model identifies one or more deterministic characteristics from the data. The one or more deterministic characteristics associated with the storage media are received from the machine learning model. A data structure comprising the one or more deterministic characteristics is generated for use in a telemetry process to qualify types of storage media.

    Utilizing machine learning to streamline telemetry processing of storage media

    公开(公告)号:US11474986B2

    公开(公告)日:2022-10-18

    申请号:US16857388

    申请日:2020-04-24

    摘要: Data associated with storage media utilized by one or more storage systems is received. The data is provided as an input to a machine learning model executed by a processing device. The machine learning model identifies one or more deterministic characteristics from the data. The one or more deterministic characteristics associated with the storage media are received from the machine learning model. A data structure comprising the one or more deterministic characteristics is generated for use in a telemetry process to qualify types of storage media.

    Adaptive storage processing for storage-as-a-service

    公开(公告)号:US11588716B2

    公开(公告)日:2023-02-21

    申请号:US17375603

    申请日:2021-07-14

    摘要: Adaptive storage processing for storage-as-a-service, including detecting, by a cloud-based monitoring system, a storage system state for a storage system by monitoring the storage system in real-time remotely via a network; selecting, by the cloud-based monitoring system based on the storage system state, an entry in a tunables repository, wherein the entry in the tunables repository comprises a tunable parameter for the storage system state; accessing, by the cloud-based monitoring system via the network, a gateway for the storage system; and modifying, by the cloud-based monitoring system via the gateway, the tunable on the storage system based on the tunable parameter for the storage system state.

    Providing application-specific storage by a storage system

    公开(公告)号:US11416298B1

    公开(公告)日:2022-08-16

    申请号:US16516950

    申请日:2019-07-19

    摘要: Providing application-specific storage by a cloud-based storage system, including: identifying, for an application that utilizes resources within the cloud-based storage system, one or more characteristics associated with the application; and selecting, in dependence upon the one or more characteristics associated with the application and characteristics of resources within the cloud-based storage system, one or more resources within the cloud-based storage system to support the execution of the application, wherein at least a portion of a dataset associated with the application is stored as blocks within block storage resources in the cloud-based storage system and also stored as objects within object storage resources in the cloud-based storage system.