Event-triggered analysis for high fidelity simulation

    公开(公告)号:US11762953B2

    公开(公告)日:2023-09-19

    申请号:US16209237

    申请日:2018-12-04

    Applicant: SAP SE

    CPC classification number: G06F18/23 G06F18/24 G06F30/20 G06F2119/12

    Abstract: Systems and methods for event-triggered analysis for high fidelity simulation. The method may comprise collecting event data produced by one or more event monitors in operational relationship with one or more elements of an event-producing system, wherein at least one of the one or more elements generates a plurality of events. The event data may be clustered into one or more groups, according to one or more event attributes. The event data may be selectively transmittable to one or more subscribers, by way of the one or more subscribers subscribing to one or more channels associated with the one or more groups. A publication mechanism may be implemented to classify the clustered event data into the one or more channels, the event data associated with at least one attribute being classified for transmission over at least one of the one or more channels.

    EVENT-TRIGGERED ANALYSIS FOR HIGH FIDELITY SIMULATION

    公开(公告)号:US20200175125A1

    公开(公告)日:2020-06-04

    申请号:US16209237

    申请日:2018-12-04

    Applicant: SAP SE

    Abstract: Systems and methods for event-triggered analysis for high fidelity simulation. The method may comprise collecting event data produced by one or more event monitors in operational relationship with one or more elements of an event-producing system, wherein at least one of the one or more elements generates a plurality of events. The event data may be clustered into one or more groups, according to one or more event attributes. The event data may be selectively transmittable to one or more subscribers, by way of the one or more subscribers subscribing to one or more channels associated with the one or more groups. A publication mechanism may be implemented to classify the clustered event data into the one or more channels, the event data associated with at least one attribute being classified for transmission over at least one of the one or more channels.

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