REGISTERING APPARATUS, REGISTERING METHOD, AND PROGRAM

    公开(公告)号:US20240330101A1

    公开(公告)日:2024-10-03

    申请号:US18576404

    申请日:2021-07-08

    CPC classification number: G06F11/0793 G06F11/0787 G06F2201/81

    Abstract: The registration device according to the embodiment includes an acquisition unit, a generation unit, a temporary registration unit, a calculation unit, a determination unit, and a registration unit. The acquisition unit acquires log data regarding a fault related to a faulty device in which a fault has been estimated to have occurred and a peripheral device installed around the faulty device. The generation unit generates a group including similar event logs issued at a certain frequency or more from the log data. When an event log in a group including an event log corresponding to training data for solving a fault corresponds to operation data related to an operation of a certain device in the group, the temporary registration unit registers the operation data as temporary training data.

    Ingest health monitoring
    5.
    发明授权

    公开(公告)号:US12061533B1

    公开(公告)日:2024-08-13

    申请号:US17877725

    申请日:2022-07-29

    Applicant: Splunk Inc.

    CPC classification number: G06F11/3476 G06F3/0619 G06F2201/81

    Abstract: Ingest health monitoring includes receiving an event stream of events in a data intake and query system to store on at least one storage system and obtaining an event from the event stream. Ingest health monitoring further includes transmitting the event to a selected ingest module queue for the event, updating an output rate indicator counter for the selected ingest module queue when failure to store the event in the ingest module queue occurs, obtaining the event from the selected ingest module queue, processing the event to generate a file for the event, and transmitting the file to the at least one storage system. Ingest health monitoring further includes updating the write failure indicator counter for a storage system of the at least one storage system when failure to transmit to the storage system occurs and updating the user interface based on the output rate indicator counter and the write failure indicator counter.

    METHODS AND SYSTEMS FOR GENERATION AND OPTIMIZATION OF METRIC THRESHOLD FOR ANOMALY DETECTION

    公开(公告)号:US20240202093A1

    公开(公告)日:2024-06-20

    申请号:US18539575

    申请日:2023-12-14

    CPC classification number: G06F11/3409 G06F2201/81

    Abstract: The present disclosure is related to the field of threshold generation where complex temporal and spatial behavior of metrics are modelled to define normal operating baseline of every component in a system environment. Embodiments of the present disclosure provide methods and systems for generation and optimization of metric threshold for anomaly detection. In the present disclosure, temporal properties such as variation, behavioral patterns of a plurality of metrics are derived. The derived temporal properties are used to generate data-driven and domain-aware static or dynamic thresholds. Additionally, the present disclosure factors spatial and temporal properties collectively to mine a role of influencing metrics and define composite thresholds. In order to cater to dynamic behavior of the system environment and changes in business and technological aspects, the system and method of the present disclosure self-learns, self-tunes, and adapts itself based on user feedback which helps in capturing tacit knowledge of domain experts.

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