Methods and systems to detect and correct outliers in a dataset stored in a data-storage device

    公开(公告)号:US10474667B2

    公开(公告)日:2019-11-12

    申请号:US15811710

    申请日:2017-11-14

    Applicant: VMWARE, INC.

    Abstract: Methods and systems are directed to detection and correction of outliers in a dataset stored in a data-storage device. The dataset comprises parameter data that may be stored and organized in the form of a data table with rows and columns of parameter values. Each column of the parameter data is searched for outlier parameter values based on the parameters values in the same column. The parameter data as a whole may be searched for outlier rows of parameter values based on first and second largest variations in the parameter data. Substitute parameter values are determined for the outlier parameter values based on non-outlier parameter values of the parameter data. The substitute parameter values and corresponding outlier parameter values may be displayed in a database management user interface that enables a user to selectively accept or reject each of the substitute parameter values for the corresponding outlier parameter values.

    METHODS AND SYSTEMS TO DETECT AND CORRECT OUTLIERS IN A DATASET STORED IN A DATA-STORAGE DEVICE

    公开(公告)号:US20190034473A1

    公开(公告)日:2019-01-31

    申请号:US15811710

    申请日:2017-11-14

    Applicant: VMWARE, INC.

    Abstract: Methods and systems are directed to detection and correction of outliers in a dataset stored in a data-storage device. The dataset comprises parameter data that may be stored and organized in the form of a data table with rows and columns of parameter values. Each column of the parameter data is searched for outlier parameter values based on the parameters values in the same column. The parameter data as a whole may be searched for outlier rows of parameter values based on first and second largest variations in the parameter data. Substitute parameter values are determined for the outlier parameter values based on non-outlier parameter values of the parameter data. The substitute parameter values and corresponding outlier parameter values may be displayed in a database management user interface that enables a user to selectively accept or reject each of the substitute parameter values for the corresponding outlier parameter values.

    Clustering routines for extrapolating computing resource metrics

    公开(公告)号:US11113117B2

    公开(公告)日:2021-09-07

    申请号:US16000052

    申请日:2018-06-05

    Applicant: VMware, Inc.

    Abstract: Various examples are disclosed for using clustering routines to extrapolate metrics to other computing resources in a cluster. One or more computing devices can classify computing resources, such as servers, based on various characteristics of the computing resources. For each class of computing resource, a clustering routine can be applied to generate clusters of the computing resources. A minimal number of metrics required to be obtained from an end user can be determined as a function of a number of the clusters. If one or more of the metrics are obtained from the end user, the metrics can be extrapolated to other computing resources in the same cluster.

    SYSTEM AND METHOD FOR RECOMMENDING GUIDELINES FOR MANAGED OBJECTS IN A CLOUD ENVIRONMENT

    公开(公告)号:US20240168790A1

    公开(公告)日:2024-05-23

    申请号:US18097526

    申请日:2023-01-17

    Applicant: VMWARE, INC.

    CPC classification number: G06F9/45558 G06F2009/4557

    Abstract: System and computer-implemented method for recommending guidelines for managed objects for a computing environment uses a transductive embedding technique on a graph of the computing environment to generate initial embeddings for the nodes of the graph. An inductive embedding technique is then applied on the initial embeddings and features of the nodes of the graph to produce final embeddings for the nodes of the graph, which are used to execute a link classification operation on the final embeddings for at least some nodes of the graph to select a recommended guideline for a target managed object.

    METHODS AND SYSTEMS TO PREDICT PARAMETERS IN A DATABASE OF INFORMATION TECHNOLOGY EQUIPMENT

    公开(公告)号:US20200265111A1

    公开(公告)日:2020-08-20

    申请号:US16866664

    申请日:2020-05-05

    Applicant: VMware, Inc.

    Abstract: Methods and systems predict parameters in a dataset of an identified piece of (“information technology”) IT equipment. An automated method identifies datasets IT equipment in a same category of IT equipment as a piece of IT equipment identified as having incomplete dataset information. Each dataset of IT equipment parameters is used to construct generalized linear models of different classes of IT equipment within the category of IT equipment. The class of the identified IT equipment is determined. A predicted equipment parameter of incomplete information of the identified piece of IT equipment is computed using the generalized linear model associated with the class. The predicted equipment parameter can be used to complete the dataset of the identified piece of IT equipment.

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