SMART SAMPLING OF DISCRETE MONITORING DATA
    1.
    发明申请

    公开(公告)号:US20200304387A1

    公开(公告)日:2020-09-24

    申请号:US16356114

    申请日:2019-03-18

    Abstract: A computer-implemented method for recommending a monitoring interval in provided. A non-limiting example of the computer-implemented method includes receiving, by a processor, monitoring data at an initial monitoring interval and calculating, by the processor, a set of aggregation data from the monitoring data including a first subset of aggregation data at a first interval of the initial monitoring interval. The method calculates, by the processor, a first density score for the first subset of aggregation data and a first indicator score for the first subset of aggregation data and provides, by the processor, the first interval as a recommended interval when the first density score does not exceed a density threshold and the first indicator threshold does not exceed an indicator threshold.

    Cognitive monitoring of data collection in real time

    公开(公告)号:US11301289B2

    公开(公告)日:2022-04-12

    申请号:US16138294

    申请日:2018-09-21

    Abstract: According to one or more embodiments of the present invention a computer-implemented method includes receiving a transaction-data for a transaction that occurs in a particular time-interval. The method further includes comparing a set of parameters from the transaction-data with a performance profile associated with the particular time-interval. The method further includes based on determining that the transaction is a deviant transaction, forwarding the transaction-data to a first data collector. The method further includes based on determining that the transaction is a conventional transaction, forwarding the transaction-data to a second data collector.

    Smart sampling of discrete monitoring data

    公开(公告)号:US11228511B2

    公开(公告)日:2022-01-18

    申请号:US16356114

    申请日:2019-03-18

    Abstract: A computer-implemented method for recommending a monitoring interval in provided. A non-limiting example of the computer-implemented method includes receiving, by a processor, monitoring data at an initial monitoring interval and calculating, by the processor, a set of aggregation data from the monitoring data including a first subset of aggregation data at a first interval of the initial monitoring interval. The method calculates, by the processor, a first density score for the first subset of aggregation data and a first indicator score for the first subset of aggregation data and provides, by the processor, the first interval as a recommended interval when the first density score does not exceed a density threshold and the first indicator threshold does not exceed an indicator threshold.

    COGNITIVE MONITORING OF DATA COLLECTION IN REAL TIME

    公开(公告)号:US20200097319A1

    公开(公告)日:2020-03-26

    申请号:US16138294

    申请日:2018-09-21

    Abstract: According to one or more embodiments of the present invention a computer-implemented method includes receiving a transaction-data for a transaction that occurs in a particular time-interval. The method further includes comparing a set of parameters from the transaction-data with a performance profile associated with the particular time-interval. The method further includes based on determining that the transaction is a deviant transaction, forwarding the transaction-data to a first data collector. The method further includes based on determining that the transaction is a conventional transaction, forwarding the transaction-data to a second data collector.

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