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    Graph-based log sequence anomaly detection and problem diagnosis
    32.
    发明授权
    Graph-based log sequence anomaly detection and problem diagnosis 有权

    公开(公告)号：US11474892B2

    公开(公告)日：2022-10-18

    申请号：US17110535

    申请日：2020-12-03

    Applicant: International Business Machines Corporation

    Inventor： Yuk L. Chan ,  Jia Qi Li ,  Zhi Shuai Han ,  Tian Wu ,  Lei Yu ,  Hong Min ,  Fan Jing Meng

    IPC: G06F11/07 ,  G06F16/901

    Abstract: Techniques include generating a log sequence for new logs that have been received, searching a log sequence database for the log sequence having been generated, and determining that the log sequence is anomalous in response to not finding an identical log sequence in the log sequence database. In response to the log sequence not being found in the log sequence database, the log sequence is compared to a graph of historical log sequences to find a closest sequence path to one or more historical log sequences. An anomaly of the log sequence is diagnosed based on an occurrence at which the log sequence deviates from the closest sequence path of the one or more historical log sequences.

    Metric-based anomaly detection system with evolving mechanism in large-scale cloud
    33.
    发明授权
    Metric-based anomaly detection system with evolving mechanism in large-scale cloud 有权

    公开(公告)号：US11385956B2

    公开(公告)日：2022-07-12

    申请号：US17132690

    申请日：2020-12-23

    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

    Inventor： Jia Wei Yang ,  Fan Jing Meng

    IPC: G06F11/00 ,  G06F11/07 ,  G06N5/02 ,  G06F16/28

    Abstract: A computer-implemented method is presented for detecting anomalies in dynamic datasets generated in a cloud computing environment. The method includes monitoring a plurality of cloud servers receiving a plurality of data points, employing a two-level clustering training module to generate micro-clusters from the plurality of data points, each of the micro-clusters representing a set of original data from the plurality of data points, employing a detecting module to detect normal data points, abnormal data points, and unknown data points from the plurality of data points via a detection model, employing an evolving module using a different evolving mechanism for each of the normal, abnormal, and unknown data points to evolve the detection model, and generating a system report displayed on a user interface, the system report summarizing the micro-cluster information.

    CORRELATION-BASED MULTI-SOURCE PROBLEM DIAGNOSIS
    35.
    发明申请
    CORRELATION-BASED MULTI-SOURCE PROBLEM DIAGNOSIS 有权

    公开(公告)号：US20220179729A1

    公开(公告)日：2022-06-09

    申请号：US17110438

    申请日：2020-12-03

    Applicant: International Business Machines Corporation

    Inventor： Yuk L. Chan ,  Tian Wu ,  Jia Qi Li ,  Zhi Shuai Han ,  Lei Yu ,  Hong Min ,  Fan Jing Meng ,  Abhishek Dokania

    IPC: G06F11/07 ,  G06F16/245

    Abstract: According to an aspect, a method includes searching for a correlated log identifier in a correlation database based on detecting a metrics-based anomaly. The method also includes providing, in a problem diagnosis, related log information associated with the correlated log identifier based on locating one or more log entries including the correlated log identifier in a same time window as the metrics-based anomaly. The method further includes searching for a correlated metric in the correlation database based on detecting a log-based anomaly and providing, in the problem diagnosis, related metric information associated with the correlated metric based on locating one or more metrics records including the correlated metric in the same time window as the log-based anomaly.

    Bayesian-based event grouping
    37.
    发明授权
    Bayesian-based event grouping 有权

    公开(公告)号：US11212162B2

    公开(公告)日：2021-12-28

    申请号：US16515333

    申请日：2019-07-18

    Applicant: International Business Machines Corporation

    Inventor： Dian Qi ,  Fan Jing Meng ,  Jing Min Xu ,  Lin Yang

    IPC: H04L12/24

    Abstract: Techniques for Bayesian-based event grouping are provided. One technique includes determining a group of alarm events from received alarm events; in response to the group of alarm events matching a group of historical alarm events, determining a first correlation, wherein the group of historical alarm events comprises correlated events associated with a same entity; and determining a root cause of the group of alarm events based on the first correlation.

    Detection of misbehaving components for large scale distributed systems
    39.
    发明授权
    Detection of misbehaving components for large scale distributed systems 有权

    公开(公告)号：US10585774B2

    公开(公告)日：2020-03-10

    申请号：US15717879

    申请日：2017-09-27

    Applicant: International Business Machines Corporation

    Inventor： Peng Fei Chen ,  Fan Jing Meng ,  Feng Wang ,  Yuan Wang ,  Jing Min Xu ,  Xiao Zhang

    IPC: G06F11/34 ,  G06N5/02 ,  G06N20/00 ,  G06F11/22

    Abstract: A method or apparatus for monitoring a system by detecting misbehaving components in the system is presented. A computing device receives historical data points based on a set of monitored signals of a system. The system has components that are monitored through the set of monitored signals. For each monitored component, the computing device performs unsupervised machine learning based on the historical data points to identify expected states and state transitions for the component. The computing device identifies one or more steady components based on the identified states of the monitored components. The computing device also receives real-time data points based on monitoring the set of signals from the system. For each identified steady component, the computing device examines the received real-time data points for deviation from the expected state and state transitions of the steady component. The computing device reports anomaly in the system based on the detected deviations.

    DETERMINING CHARACTERISTICS OF CONFIGURATION FILES
    40.
    发明申请
    DETERMINING CHARACTERISTICS OF CONFIGURATION FILES 审中-公开

    公开(公告)号：US20180314535A1

    公开(公告)日：2018-11-01

    申请号：US16030949

    申请日：2018-07-10

    Applicant: International Business Machines Corporation

    Inventor： Ajay A. Apte ,  Chang Sheng Li ,  Fan Jing Meng ,  Joseph P. Wigglesworth ,  Jing Min Xu ,  Bo Yang ,  Xue Jun Zhuo

    IPC: G06F9/445

    CPC classification number: G06F9/44505

    Abstract: Determining a characteristic of a configuration file that is used to discover configuration files in a target machine, a computer identifies, using information associated with a configuration item of a machine, a candidate configuration file related to the configuration item of the machine, from among a plurality of files from the machine. The computer extracts a value of a feature of the candidate configuration file and aggregates the candidate configuration file with a second candidate configuration file related to the same configuration item identified from among a plurality of files from a second machine, based on the extracted value. The computer then determines a configuration file related to the configuration item from among the aggregated candidate configuration files based on a result of the aggregation, and determines a characteristic of the configuration file related to the configuration item.

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