ENHANCED PATH MAPPING BASED ON SAFETY CONSIDERATION

    公开(公告)号:US20210123753A1

    公开(公告)日:2021-04-29

    申请号:US16662450

    申请日:2019-10-24

    Abstract: The present invention relates to a method for enhanced path mapping based on safety consideration. To provide a method to determine a superior path from at least two alternative paths, it is proposed that the navigation system adds one or more new safety parameters based on safety consideration in path mapping process and calculate a path safety index for the alternative paths. The safety parameters may include a biometric index of at least one of drivers of vehicles on the alternative paths, a physical status of the vehicles or environment, a driving habits index of at least one of drivers of the vehicles and/or an autonomous vehicle safety index of at least one of the vehicles.

    Determining influence of applications on system performance

    公开(公告)号:US11620205B2

    公开(公告)日:2023-04-04

    申请号:US17073504

    申请日:2020-10-19

    Abstract: A computer-implemented method for determining influence of applications on system performance includes collecting, by a processor, for several applications that are executing on a computing system, respective instrumentation data during multiple time-segments. The method further includes determining, for each of the applications, a performance value and a robustness value for each of the time-segments based on the respective instrumentation data. Further, using the performance value and robustness value for each time-segment, multiple health-waveforms are generated, where a health-waveform is generated for each respective application. The method further includes determining, by the processor, an influence-factor of a first application on a second application, the first application and the second application are executing on the computing system. The method further includes adjusting, by the processor, allocation of a computer resource by releasing the computer resource from the first application and allocating the computer resource to the second application based on the influence-factor.

    COMPARISON OF DATABASE DATA
    18.
    发明申请

    公开(公告)号:US20220075764A1

    公开(公告)日:2022-03-10

    申请号:US17016431

    申请日:2020-09-10

    Abstract: Embodiments of the present disclosure relate to a method, system, and computer program product for comparison of database data. According to the method, a first tree structure corresponding to first data segments of first database data and a second tree structure corresponding to second data segments of second database data are at least partially obtained. Each node of the first or second tree structure indicating a characteristic value of at least one of the first or second data segments, and nodes of the first or second tree structure are divided into a first or second plurality of branches from a first or second root node based on update frequencies of the first or second data segments. A difference between the first data segments and the second data segments is determined by at least comparing characteristic values indicated by nodes in the obtained parts of the first and second tree structures.

    Cloud affinity based on evaluation of static and dynamic workload characteristics

    公开(公告)号:US11928513B1

    公开(公告)日:2024-03-12

    申请号:US18089750

    申请日:2022-12-28

    CPC classification number: G06F9/5033 G06F9/3836 G06F9/505

    Abstract: Mechanisms are provided for scheduling a workload in a cloud computing system. A cloud affinity factor (CAF) computer model is trained, via a machine learning process based on a training dataset comprising static characteristics of a workload binary for a workload, and dynamic characteristics corresponding to historical performance data for the workload, such that the trained CAF computer model predicts a performance classification for a given workload binary. The trained CAF computer model processes a new workload to generate a performance classification for the new workload. Cloud affinity factor(s) are generated based on the performance classification for the new workload. Node affinity and dispatch rule(s) are applied to the cloud affinity factor(s) to select one or more nodes of the cloud computing system to which to dispatch the workload. The workload is then scheduled on the selected one or more nodes.

    UTILIZING A STRUCTURED AUDIT LOG FOR IMPROVING ACCURACY AND EFFICIENCY OF DATABASE AUDITING

    公开(公告)号:US20230315715A1

    公开(公告)日:2023-10-05

    申请号:US17708440

    申请日:2022-03-30

    CPC classification number: G06F16/2365

    Abstract: A computer-implemented method, system and computer program product for improving accuracy and efficiency of auditing databases. A table, list or index of a database is analyzed to identify metadata, which includes time series data, user data, an Internet Protocol address and operation data. The identified metadata is associated with the corresponding record or row of the table, list or index from which the metadata was extracted. A determination is then made as to whether to record a raw data image associated with the record or row of the analyzed table, list or index based on the corresponding data operation. The identified metadata as well as the recorded data images, if any, are stored in a structured audit log. Auditing information is then obtained from a structured audit log based on matching the record or row identifier (RID) associated with the query with the RID associated with the structured audit log.

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