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    CLUSTER-BASED PROCESSING OF UNSTRUCTURED LOG MESSAGES
    5.
    发明申请
    CLUSTER-BASED PROCESSING OF UNSTRUCTURED LOG MESSAGES 审中-公开

    公开(公告)号：US20180101423A1

    公开(公告)日：2018-04-12

    申请号：US15416571

    申请日：2017-01-26

    Applicant: ORACLE INTERNATIONAL CORPORATION

    Inventor： Jae Young Yoon ,  Dhileeban Kumaresan ,  Venktesh Alvenkar ,  Sreeji Das ,  Harish Akali

    IPC: G06F9/54 ,  G06F17/30

    CPC classification number: G06F9/546 ,  G06F3/0482 ,  G06F16/285 ,  G06F16/338 ,  G06F16/358 ,  H04L41/069

    Abstract: Some embodiments relate to assigning individual log messages to clusters. An initial cluster assignment may be performed by applying a hash function to one or more non-variable components of the message to generate an initial cluster identifier. Subsequently, clustering may be further refined (e.g., by determining whether to merge clusters based on similarity values). An interface can present a representative message of each cluster and indicate which portions of the message correspond to a variable component. Particular inputs detected at the input corresponding to one of these components can cause other values for the component to be presented. For a given cluster, timestamps of assigned messages can be used to generate a time series, which can facilitate grouping of clusters (with similar or complementary shapes) and/or triggering alerts (with a condition corresponding to a temporal aspect).

    Cluster-based processing of unstructured log messages
    6.
    发明授权
    Cluster-based processing of unstructured log messages 有权

    公开(公告)号：US10353756B2

    公开(公告)日：2019-07-16

    申请号：US15416571

    申请日：2017-01-26

    Applicant: ORACLE INTERNATIONAL CORPORATION

    Inventor： Jae Young Yoon ,  Dhileeban Kumaresan ,  Venktesh Alvenkar ,  Sreeji Das ,  Harish Akali

    IPC: G06F9/54 ,  G06F16/28 ,  G06F16/338 ,  G06F16/35 ,  H04L12/24 ,  G06F3/0482

    Abstract: Some embodiments relate to assigning individual log messages to clusters. An initial cluster assignment may be performed by applying a hash function to one or more non-variable components of the message to generate an initial cluster identifier. Subsequently, clustering may be further refined (e.g., by determining whether to merge clusters based on similarity values). An interface can present a representative message of each cluster and indicate which portions of the message correspond to a variable component. Particular inputs detected at the input corresponding to one of these components can cause other values for the component to be presented. For a given cluster, timestamps of assigned messages can be used to generate a time series, which can facilitate grouping of clusters (with similar or complementary shapes) and/or triggering alerts (with a condition corresponding to a temporal aspect).

    CLUSTER-BASED PROCESSING OF UNSTRUCTURED LOG MESSAGES
    9.
    发明申请
    CLUSTER-BASED PROCESSING OF UNSTRUCTURED LOG MESSAGES 审中-公开

    公开(公告)号：US20180102938A1

    公开(公告)日：2018-04-12

    申请号：US15416868

    申请日：2017-01-26

    Applicant: ORACLE INTERNATIONAL CORPORATION

    Inventor： Jae Young Yoon ,  Dhileeban Kumaresan ,  Venktesh Alvenkar ,  Sreeji Das ,  Harish Akali

    IPC: H04L12/24

    CPC classification number: G06F16/358 ,  G06F3/0482 ,  G06F11/30 ,  G06F16/285 ,  G06F16/338 ,  H04L41/069

    Abstract: Some embodiments relate to assigning individual log messages to clusters. An initial cluster assignment may be performed by applying a hash function to one or more non-variable components of the message to generate an initial cluster identifier. Subsequently, clustering may be further refined (e.g., by determining whether to merge clusters based on similarity values). An interface can present a representative message of each cluster and indicate which portions of the message correspond to a variable component. Particular inputs detected at the input corresponding to one of these components can cause other values for the component to be presented. For a given cluster, timestamps of assigned messages can be used to generate a time series, which can facilitate grouping of clusters (with similar or complementary shapes) and/or triggering alerts (with a condition corresponding to a temporal aspect).

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