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    Method and Apparatus for Downsizing the Diagnosis Scope for Change-Inducing Errors
    61.
    发明申请
    Method and Apparatus for Downsizing the Diagnosis Scope for Change-Inducing Errors 审中-公开

    公开(公告)号：US20170300370A1

    公开(公告)日：2017-10-19

    申请号：US15098700

    申请日：2016-04-14

    Applicant: International Business Machines Corporation

    Inventor： Girish B. Chafle ,  Fan Jing Meng ,  Jing Min Xu ,  Lin Y. Yang

    IPC: G06F11/07 ,  G06F17/30

    CPC classification number: G06F11/0781 ,  G06F11/0778 ,  G06F17/30303 ,  G06F17/30368 ,  G06F17/30377

    Abstract: The scope of the system changes to be considered for analysis for finding problematic changes is reduced in order to allow focusing on highly potential suspicious drifts caused by change sequences. The method and system includes a data cleaning module to remove irrelevant changes, a feature extraction and normalization module to extract the features of change objects, data annotation module to remove irrelevant changes based on patterns, and a clustering module to obtain groups for further analysis. Data cleaning is simplified using domain independent rules. Additional sources of change sequences are removed by application of pattern based techniques so as to narrow down problematic system changes to analyze for root cause analysis. Change error sequence and degree of temporal correlation to correlate system changes with errors, as well as change behavior patterns may be used for downsizing the diagnosis scope.

    LEARNING-BASED DRIFT DETECTION TOOL
    62.
    发明申请
    LEARNING-BASED DRIFT DETECTION TOOL 审中-公开

    公开(公告)号：US20170255874A1

    公开(公告)日：2017-09-07

    申请号：US15059594

    申请日：2016-03-03

    Applicant: International Business Machines Corporation

    Inventor： Girish B. Chafle ,  Peng Fei Chen ,  Fan Jing Meng ,  Hai Shan Wu ,  Jing Min Xu ,  Lin Yang

    IPC: G06N99/00 ,  G01M99/00 ,  G06N5/04

    CPC classification number: G06N20/00 ,  G06F11/3006 ,  G06F11/3414 ,  G06F11/3452

    Abstract: Embodiments are directed to a computer implemented method for generating a drift detector. The method includes generating, using a processor system, drift cases based at least in part on known drift set data of a computer system. The method further includes injecting, using the processor system, the drift cases into the computer system to generate a first data set. The method further includes applying, using the processor system, cleaning rules to the first data set to reduce a size of the first data set and generate a cleaned data set. The method further includes extracting one or more features of the cleaned data set. The method further includes normalizing the extracted one or more features of the cleaned data set. The method further includes training a machine learning system using the extracted and normalized one or more features of the cleaned data, wherein an output of the machine learning system comprises the drift detector.

    System for selecting software components based on a degree of coherence
    64.
    发明授权
    System for selecting software components based on a degree of coherence 有权
    基于一致性程度选择软件组件的系统

    公开(公告)号：US09043752B2

    公开(公告)日：2015-05-26

    申请号：US14030445

    申请日：2013-09-18

    Applicant: International Business Machines Corporation

    Inventor： Saeed Bagheri ,  Yi-Min Chee ,  Fan Jing Meng ,  Peide Zhong ,  Nianjun Zhou

    IPC: G06F9/44 ,  G06F9/445

    CPC classification number: G06F8/70 ,  G06F8/36 ,  G06F8/60

    Abstract: Disclosed is a novel system and method to select software components. A set of available software components are accessed. Next, one or more dimensions are defined. Each dimension is an attribute to the set of available software components. A set of coherence distances between each pair of the available software components in the set of available software components is calculated for each of the dimensions that have been defined. Each of the coherence distances are combined between each pair of the available software components that has been calculated in the set of the coherence distances into an overall coherence degree for each of the available software components. Using the overall coherence degree, one or more software components are selected to be included in a software bundle.

    Abstract translation: 公开了一种选择软件组件的新颖系统和方法。 访问一组可用的软件组件。 接下来，定义一个或多个维。 每个维度是可用软件组件集的一个属性。 针对已定义的每个维度计算可用软件组件集合中每对可用软件组件之间的一组相干距离。 每个相干距离在已经在相干距离的集合中计算的每对可用软件组件之间组合成用于每个可用软件组件的整体相干度。 使用整体相干度，选择一个或多个软件组件以包括在软件包中。

    SCHEDULING DISCRETE EVENT SIMULATION
    66.
    发明申请
    SCHEDULING DISCRETE EVENT SIMULATION 有权
    调度离散事件模拟

    公开(公告)号：US20130304442A1

    公开(公告)日：2013-11-14

    申请号：US13868655

    申请日：2013-04-23

    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

    Inventor： Guoqiang Hu ,  Qi Cheng Li ,  Li Jun Mei ,  Fan Jing Meng ,  HuaFang Tan ,  Jian Wang ,  Yi Min Wang ,  Zi Yu Zhu

    IPC: G06F17/50

    CPC classification number: G06F17/5009

    Abstract: The present invention provides a method, apparatus, and non-transitory article of manufacture embodying computer readable instructions for scheduling discrete event simulation. One embodiment of the present invention is a method for scheduling discrete event simulation. The method includes: extracting two or more event types in the discrete event simulation in response to having loaded the discrete event simulation; constructing a correlation graph used for the discrete event simulation based on the two or more event types; and scheduling events that are classified into the two or more event types according to the correlation graph wherein each node in the correlation graph describes one of the two or more event types, and an edge in the correlation graph describes the creation or dependency relationship between the two or more event types. Other embodiments of the present invention provide an apparatus and computer program product for scheduling discrete event simulation.

    Abstract translation: 本发明提供了体现用于调度离散事件模拟的计算机可读指令的方法，装置和非暂时性制品。 本发明的一个实施例是用于调度离散事件模拟的方法。 该方法包括：响应于加载离散事件模拟，在离散事件模拟中提取两个或更多个事件类型; 基于两个或多个事件类型构建用于离散事件模拟的相关图; 以及根据相关图分类为所述两个或更多个事件类型的调度事件，其中所述相关图中的每个节点描述所述两个或更多个事件类型中的一个，并且所述相关图中的边界描述所述关联图中的所述创建或依赖关系 两个或多个事件类型。 本发明的其他实施例提供了一种用于调度离散事件模拟的装置和计算机程序产品。

    DATA REPLICATION IN ACTIVE-ACTIVE DATABASES
    69.
    发明公开
    DATA REPLICATION IN ACTIVE-ACTIVE DATABASES 审中-公开

    公开(公告)号：US20240202182A1

    公开(公告)日：2024-06-20

    申请号：US18065722

    申请日：2022-12-14

    Applicant: International Business Machines Corporation

    Inventor： Guang Han Sui ,  Peng Hui Jiang ,  Fan Jing Meng ,  Mai Zeng ,  Jun Su ,  Jia Tian Zhong

    IPC: G06F16/23 ,  G06F16/27

    CPC classification number: G06F16/2365 ,  G06F16/27

    Abstract: A method of managing an active-active database system storing a first copy of data records at a first node a second copy of the data records at a second node includes receiving a first set of operations stored at the first node as a first set of local operations, a copy of the first set of operations transmitted to the second node and stored as a first set of remote operations, and receiving a second set of operations stored at the second node as a second set of local operations, a copy of the second set of operations transmitted to the first node and stored as a second set of remote operations. The method includes determining a comparison point by selecting an operation from each of the first set of operations and the second set of operations, and comparing the first copy of the data records to the second copy.

    Correlation-based multi-source problem diagnosis
    70.
    发明授权
    Correlation-based multi-source problem diagnosis 有权

    公开(公告)号：US11599404B2

    公开(公告)日：2023-03-07

    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 ,  G06Q10/10

    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.

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