MACHINE LEARNING MODEL AND ASSOCIATED METHODS THEREOF FOR PROVIDING AUTOMATED SUPPORT

    公开(公告)号:US20210264305A1

    公开(公告)日:2021-08-26

    申请号:US16796039

    申请日:2020-02-20

    Applicant: NETAPP, INC.

    Abstract: Computing technology for managing support requests are provided. The technology includes a processor executable application programming interface (API) that receives a support case indicating a problem associated with a device. The API utilizes a training model to predict a problem category for the support case. The training model predicts the problem category based on a feature extracted from information included in the support case. The training model further identifies a plurality of proximate support cases based on a distance between the support case and the proximate support cases within a virtual space assigned to the predicted problem category; determines relevance of each proximate support case to the support case; and outputs a resolution code for the support case based on the determined relevance of each proximate support case.

    AUTOMATED QUALITY OF SERVICE MANAGEMENT MECHANISM

    公开(公告)号:US20220326992A1

    公开(公告)日:2022-10-13

    申请号:US17219808

    申请日:2021-03-31

    Applicant: NetApp, Inc.

    Inventor: Prajwal V

    Abstract: A system is described. The system includes a processing resource and a non-transitory computer-readable medium, coupled to the processing resource, having stored therein instructions that when executed by the processing resource cause the processing resource to collect telemetry data of a distributed storage system associated with a client device, monitor a first set of the IOPS values, select a first IOPS value in the first set of the IOPS values as a highest IOPS value, determine whether the first IOPS value is unequal to a current Max-IOPS parameter value and adjust the Max-IOPS parameter value to be equal to the first IOPS value upon a determination that the first IOPS value is unequal to the current Max-IOPS parameter value.

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