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    MIGRATING VIRTUAL ASSET
    12.
    发明申请
    MIGRATING VIRTUAL ASSET 有权
    移民虚拟资产

    公开(公告)号：US20160062786A1

    公开(公告)日：2016-03-03

    申请号：US14834472

    申请日：2015-08-25

    Applicant: International Business Machines Corporation

    Inventor： Fan Jing Meng ,  Yuan Wang ,  Jing Min Xu ,  Bo Yang ,  Yang Zhao

    IPC: G06F9/455 ,  H04L12/24

    CPC classification number: G06F9/45558 ,  G06F9/4856 ,  G06F2009/4557 ,  H04L41/046 ,  H04L41/0846 ,  H04L67/32

    Abstract: Embodiments include methods and devices for migrating virtual assets over networks that have a first manager connected to a physical host a virtual machine run. Aspects include registering the physical host to a second manager in the network, creating the mapping relationship of the physical host between a database of the first manager and a database of the second manager and importing instance data and status data of the virtual machine of the physical host from the database of the first manager into the database of the second manager. Aspects also include switching the management for the physical host from the first manager to the second manager.

    Abstract translation: 实施例包括用于通过网络迁移虚拟资产的方法和设备，所述网络具有连接到虚拟机运行的物理主机的第一管理器。 方面包括将物理主机注册到网络中的第二管理器，在第一管理器的数据库和第二管理器的数据库之间创建物理主机的映射关系，并且导入实体数据和物理虚拟机的状态数据 主机从数据库的第一个经理进入数据库的第二个经理。 方面还包括将物理主机的管理从第一个管理员切换到第二个管理员。

    MESSAGE-BASED EVENT GROUPING FOR A COMPUTING OPERATION
    15.
    发明申请
    MESSAGE-BASED EVENT GROUPING FOR A COMPUTING OPERATION 有权

    公开(公告)号：US20220179881A1

    公开(公告)日：2022-06-09

    申请号：US17110460

    申请日：2020-12-03

    Applicant: International Business Machines Corporation

    Inventor： Yuk L. Chan ,  Jia Qi Li ,  LIN YANG ,  Tian Wu ,  Lei Yu ,  Hong Min ,  Fan Jing Meng

    IPC: G06F16/28

    Abstract: Aspects of the invention include determining whether a first log message written by an application during a first job is a message of interest based on a context of the first log message and a probability that the application writes the message for a same job as the first job. Calculating in response to determining that the first log message is a message of interest and by the processor, a correlation score based on intersecting tokens between the first log message and a second log message. Determining the first log message correlates to the second log message based on comparing the score to a threshold score. Modifying a system log of a mainframe to link the first log message to the second log message based on the correlation.

    ENSEMBLE MACHINE LEARNING MODEL
    16.
    发明申请
    ENSEMBLE MACHINE LEARNING MODEL 有权

    公开(公告)号：US20220122000A1

    公开(公告)日：2022-04-21

    申请号：US17073581

    申请日：2020-10-19

    Applicant: International Business Machines Corporation

    Inventor： Jia Qi Li ,  Li Zhang ,  Jun Ying Lu ,  Fan Jing Meng ,  Shi Lei Zhang

    IPC: G06N20/20 ,  G06K9/62

    Abstract: Described are techniques for using a dynamic ensemble model. The techniques including training a plurality of machine learning models on training data. The techniques further include identifying a similar subset of the training data that is similar to a dataset for evaluation. The techniques further include assembling a subset of models from the plurality of machine learning models based on performance of the subset of models on the similar subset of the training data. The techniques further include generating an output from the subset of models for the dataset for evaluation.

    Performance anomaly detection
    17.
    发明授权
    Performance anomaly detection 有权

    公开(公告)号：US11269714B2

    公开(公告)日：2022-03-08

    申请号：US17136974

    申请日：2020-12-29

    Applicant: International Business Machines Corporation

    Inventor： Xiao Zhang ,  Fan Jing Meng ,  Lin Yang ,  Jing Min Xu

    IPC: G06F11/00 ,  G06F11/07

    Abstract: Embodiments facilitating performance anomaly detection are described. A computer-implemented method comprises: detecting, by a device operatively coupled to one or more processing units, based on monitoring data of a plurality of performance metrics of a monitored device, at least one trend within the monitoring data of the respective performance metrics; removing, by the device, the at least one trend from the monitoring data of the respective performance metrics to generate modified data of the respective performance metrics; and detecting, by the device, a performance anomaly based on the modified data of the respective performance metrics and a behavior clustering model comprising at least one steady state.

    Message-based problem diagnosis and root cause analysis
    18.
    发明授权
    Message-based problem diagnosis and root cause analysis 有权

    公开(公告)号：US11243835B1

    公开(公告)日：2022-02-08

    申请号：US17110458

    申请日：2020-12-03

    Applicant: International Business Machines Corporation

    Inventor： Yuk L. Chan ,  Jia Qi Li ,  Lin Yang ,  Tian Wu ,  Lei Yu ,  Hong Min ,  Fan Jing Meng

    IPC: G06F11/07

    Abstract: Aspects of the invention include constructing a knowledge graph by writing a plurality of data structures to connect correlated log messages in a system log. Detecting an anomalous log message based on the knowledge graph, wherein the anomalous log message is connected to a plurality of candidate root cause error log messages. Determining respective sequences from each of the plurality of candidate root cause error log messages to the anomalous log message. Calculating a deviation score for each respective sequence based on a deviation of an expected sequence for each candidate root cause error log message and the determined sequence. Determining a root cause log error message based on the calculated deviation scores.

    BAYESIAN-BASED EVENT GROUPING
    20.
    发明申请
    BAYESIAN-BASED EVENT GROUPING 有权

    公开(公告)号：US20210021456A1

    公开(公告)日：2021-01-21

    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.

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