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    Using prediction uncertainty quantifier with machine learning classifier to predict the survival of a storage device
    1.
    发明授权
    Using prediction uncertainty quantifier with machine learning classifier to predict the survival of a storage device 有权

    公开(公告)号：US12001968B2

    公开(公告)日：2024-06-04

    申请号：US17141551

    申请日：2021-01-05

    Applicant: Dell Products, L.P.

    Inventor： Parminder Singh Sethi ,  Rahul Deo Vishwakarma ,  Vasanth Sathyanarayanan

    IPC: G06N5/04 ,  G06N5/01 ,  G06N5/02 ,  G06N20/20

    CPC classification number: G06N5/04 ,  G06N5/01 ,  G06N5/027 ,  G06N20/20

    Abstract: The described technology is generally directed towards predicting the survival of a storage device (e.g., a hard disk drive or a solid state drive) to a specified time point, expressed as a confidence score, via a prediction uncertainty quantifier framework with a machine learning classifier. The confidence score corresponds to the likelihood of a storage device surviving until a specified time point (e.g., for n hours). In one implementation, a conformal prediction framework provides the confidence score for a storage device, based on survival rate data predicted using recent telemetry data collected for that storage device by an online semi-parametric Mondrian survival forest classifier. Updated confidence scores based on updated telemetry data can be obtained at various evaluation stages to reevaluate whether to take remedial action with respect to a storage device (e.g., replace the storage device). Multiple storage devices can be ranked by their respective associated confidence scores.

    MESSAGE BROKER RESOURCE DELETION
    2.
    发明公开
    MESSAGE BROKER RESOURCE DELETION 审中-公开

    公开(公告)号：US20230239370A1

    公开(公告)日：2023-07-27

    申请号：US17581369

    申请日：2022-01-21

    Applicant: Dell Products L.P.

    Inventor： Parmeshwr Prasad ,  Rahul Deo Vishwakarma

    IPC: H04L67/562 ,  H04L67/51 ,  H04L41/0604 ,  H04L67/60

    CPC classification number: H04L67/2809 ,  H04L67/16 ,  H04L41/0622 ,  H04L67/32

    Abstract: The described technology is generally directed towards a message broker resource monitoring service that obtains message broker resource parameter data of a resource, based on communications of a message broker. Based on the resource parameter data and historical data, message broker resource monitoring service obtains a predicted message delivery time value, which can be in association with confidence. If the predicted message delivery time value satisfies a resource deletion criterion, e.g., the predicted message delivery time value, with sufficient confidence, exceeds a threshold value, the message broker resource monitoring service triggers an action to delete the resource. To obtain the predicted value, a regression such as symmetric conformal quantile regression can be applied to the parameter data, e.g., to obtain a predicted message delivery time/latency value.

    Methods and systems for anomalous operation detection on a consumer device
    3.
    发明授权
    Methods and systems for anomalous operation detection on a consumer device 有权

    公开(公告)号：US12211051B2

    公开(公告)日：2025-01-28

    申请号：US17726825

    申请日：2022-04-22

    Applicant: Dell Products L.P.

    Inventor： Vaneeswaran N ,  Anushree Priyadarshini ,  Rahul Deo Vishwakarma

    IPC: G06Q20/40

    Abstract: A method for holding an anomalous privileged operation, that includes receiving, by a privileged operations monitor executing on a client device, a privileged operation request to copy data or modify data, obtaining a plurality of metrics for the privileged operation request, calculating an anomaly score for the privileged operation request, based on the plurality of metrics, making a first determination, based on the anomaly score, that the privileged operation request is anomalous, and based on the first determination, placing a hold on the privileged operation request.

    Managing utilization of storage class memory (SCM) resources
    4.
    发明授权
    Managing utilization of storage class memory (SCM) resources 有权

    公开(公告)号：US11422702B2

    公开(公告)日：2022-08-23

    申请号：US17003190

    申请日：2020-08-26

    Applicant: Dell Products, L.P.

    Inventor： Parmeshwr Prasad ,  Rahul Deo Vishwakarma

    IPC: G06F3/06 ,  G06F12/08

    Abstract: Methods and systems support managed use of a Storage Class Memory (SCM) by one or more applications operating on an IHS (Information Handling System). The operations that are supported by an IHS processor for flushing data from the SCM are determined. Applications are identified that operate using the persistent data storage capabilities of the SCM. The SCM flushing operations invoked by each these applications are monitored. The utilization of the SCM by each of the first plurality of applications is determined based at least in part on the monitored flushing operations by each application. The utilization of the SCM may also be based on calculated metrics of SCM utilization by the respective applications. The applications are classified based their determined SCM utilizations. Based on the classifications of SCM utilization, a subset of the applications may be identified for removal from use of the SCM.

    MANAGING UTILIZATION OF STORAGE CLASS MEMORY (SCM) RESOURCES
    5.
    发明申请
    MANAGING UTILIZATION OF STORAGE CLASS MEMORY (SCM) RESOURCES 有权

    公开(公告)号：US20220066645A1

    公开(公告)日：2022-03-03

    申请号：US17003190

    申请日：2020-08-26

    Applicant: Dell Products, L.P.

    Inventor： Parmeshwr Prasad ,  Rahul Deo Vishwakarma

    IPC: G06F3/06

    Abstract: Methods and systems support managed use of a Storage Class Memory (SCM) by one or more applications operating on an IHS (Information Handling System). The operations that are supported by an IHS processor for flushing data from the SCM are determined. Applications are identified that operate using the persistent data storage capabilities of the SCM. The SCM flushing operations invoked by each these applications are monitored. The utilization of the SCM by each of the first plurality of applications is determined based at least in part on the monitored flushing operations by each application. The utilization of the SCM may also be based on calculated metrics of SCM utilization by the respective applications. The applications are classified based their determined SCM utilizations. Based on the classifications of SCM utilization, a subset of the applications may be identified for removal from use of the SCM.

    METHODS AND SYSTEMS FOR ANOMALOUS OPERATION DETECTION ON AN ENTERPRISE SERVER
    10.
    发明公开
    METHODS AND SYSTEMS FOR ANOMALOUS OPERATION DETECTION ON AN ENTERPRISE SERVER 审中-公开

    公开(公告)号：US20230344844A1

    公开(公告)日：2023-10-26

    申请号：US17726817

    申请日：2022-04-22

    Applicant: Dell Products L.P.

    Inventor： Vaneeswaran N ,  Anushree Priyadarshini ,  Rahul Deo Vishwakarma

    IPC: H04L9/40

    CPC classification number: H04L63/1425 ,  H04L63/10

    Abstract: A method for holding an anomalous privileged operation, that includes receiving, by a privileged operations monitor executing on a data server, a privileged operation request from a client device, obtaining a plurality of metrics for the privileged operation request, calculating an anomaly score for the privileged operation request, based on the plurality of metrics, making a first determination, based on the anomaly score, that the privileged operation request is anomalous, and based on the first determination, placing a hold on the privileged operation request.

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