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    CREATING AN ENTITY DEFINITION FROM A SEARCH RESULT SET
    1.
    发明申请
    CREATING AN ENTITY DEFINITION FROM A SEARCH RESULT SET 审中-公开

    公开(公告)号：US20170322985A1

    公开(公告)日：2017-11-09

    申请号：US15662206

    申请日：2017-07-27

    Applicant: Splunk Inc.

    Inventor： Brent Boe ,  Alan Hardin ,  Fang I. Hsiao ,  Brian C. Reyes

    IPC: G06F17/30 ,  H04L12/26 ,  H04L12/24

    CPC classification number: G06F16/248 ,  G06F16/242 ,  G06F16/9535 ,  H04L41/0213 ,  H04L41/0813 ,  H04L41/22 ,  H04L41/5032 ,  H04L43/045 ,  H04L43/16

    Abstract: A processing device performs a search query to produce a search result set having entries having data items. A table, having rows and columns, is displayed in a user interface. Each data item of a particular entry appears in a respective column of the same row of the table. Each column may correspond to the ordinal position of its respective data item. User input is received designating, for each respective column, a field name and an entity definition component type to which the respective column pertains, and stores for each data item of the particular entry an element value of an entity definition. The element has the element name designated for the respective column in which the data item appeared, and is associated with an entity definition component having the type designated for the respective column in which the data item appeared.

    ADAPTIVE KEY PERFORMANCE INDICATOR THRESHOLDS
    2.
    发明申请
    ADAPTIVE KEY PERFORMANCE INDICATOR THRESHOLDS 审中-公开
    自适应关键性能指标阈值

    公开(公告)号：US20160104076A1

    公开(公告)日：2016-04-14

    申请号：US14859236

    申请日：2015-09-18

    Applicant: Splunk Inc.

    Inventor： Sonal Maheshwari ,  Manish Sainani ,  Leonid Alekseyev ,  Alan Hardin ,  Jacob Barton Leverich ,  Adam Jamison Oliner ,  Brian Reyes ,  Alok Anant Bhide

    IPC: G06N99/00

    CPC classification number: G06N99/005

    Abstract: Techniques are disclosed for providing adaptive thresholding technology for Key Performance Indicators (KPIs). Adaptive thresholding technology may automatically assign new values or adjust existing values for one or more thresholds of one or more time policies. Assigning threshold values using adaptive thresholding may involve identifying training data (e.g., historical data, simulated data, or example data) for the time frames and analyzing the training data to identify variations within the data (e.g., patterns, distributions, trends). A threshold value may be determined based on the variations and may be assigned to one or more of the thresholds without additional user intervention.

    Abstract translation: 公开了用于为关键性能指标（KPI）提供自适应阈值技术的技术。 自适应阈值技术可以自动分配新值或调整一个或多个时间策略的一个或多个阈值的现有值。 使用自适应阈值分配阈值可以涉及识别用于时间帧的训练数据（例如，历史数据，模拟数据或示例数据），并且分析训练数据以识别数据内的变化（例如，模式，分布，趋势）。 可以基于变化来确定阈值，并且可以将阈值分配给一个或多个阈值，而无需额外的用户干预。

    Collaborative incident management for networked computing systems
    4.
    发明申请
    Collaborative incident management for networked computing systems 审中-公开

    公开(公告)号：US20190097909A1

    公开(公告)日：2019-03-28

    申请号：US15732158

    申请日：2017-09-25

    Applicant: Splunk Inc.

    Inventor： Asmita Puri ,  Alan Hardin ,  Kan Wu ,  Fang I Hsiao

    IPC: H04L12/26 ,  G06F17/30 ,  H04L12/24

    Abstract: Information technology environment monitoring systems, for example, perform analytics over machine data received from networked entities. Outputs of such a system may be useful to help a user identify a problem and resolve an incident. Inventive aspects enable user interactions to trigger automatic connection with network servers to establish communication channels for conveying analytics and other information related to the problem between and among network nodes participating in the resolution of the problem or incident.

    Creating entity definition from a file
    5.
    发明授权
    Creating entity definition from a file 有权
    从文件创建实体定义

    公开(公告)号：US09130832B1

    公开(公告)日：2015-09-08

    申请号：US14611190

    申请日：2015-01-31

    Applicant: Splunk Inc.

    Inventor： Brent Boe ,  Alan Hardin ,  Brian C. Reyes ,  Fang I. Hsiao

    IPC: G06F15/16 ,  H04L12/26 ,  G06F17/30 ,  H04L29/08 ,  G06F12/00

    CPC classification number: H04L43/045 ,  G06F17/30315 ,  G06F17/30339 ,  G06F17/30386 ,  G06F17/30604 ,  H04L29/08072 ,  H04L41/22 ,  H04L41/5009 ,  H04L41/5045 ,  H04L41/5083 ,  H04L43/08 ,  H04L43/0817 ,  H04L63/0227

    Abstract: Processing devices receive a file having entries having data items separated by delimiters. Each data item has an ordinal position. The processing device(s) cause display of a table, having rows and columns, in a graphical user interface. Each data items of a particular entry appears in a respective column of the same row. Each column corresponds to the ordinal position of its respective data item. User input is received designating, for each respective column, a field name and an entity definition component type to which the respective column pertains, and stores for each of the data items of the particular entry a value of an element of an entity definition. The element has the element name designated for the respective column in which the data item appeared, and is associated with an entity definition component having the type designated for the respective column in which the data item appeared.

    Abstract translation: 处理设备接收具有由分隔符分隔的数据项的条目的文件。 每个数据项都有一个序数位置。 处理设备使得在图形用户界面中显示具有行和列的表。 特定条目的每个数据项出现在同一行的相应列中。 每列对应于其相应数据项的序数位置。 接收到用户输入，为每个相应列指定相应列所属的字段名称和实体定义组件类型，并且为特定条目的每个数据项存储实体定义的元素的值。 元素具有为数据项出现的相应列指定的元素名称，并且与具有指定数据项出现的相应列的类型的实体定义组件相关联。

    Adaptive key performance indicator thresholds
    7.
    发明授权
    Adaptive key performance indicator thresholds 有权

    公开(公告)号：US10235638B2

    公开(公告)日：2019-03-19

    申请号：US14859236

    申请日：2015-09-18

    Applicant: Splunk Inc.

    Inventor： Sonal Maheshwari ,  Manish Sainani ,  Leonid Alekseyev ,  Alan Hardin ,  Jacob Barton Leverich ,  Adam Jamison Oliner ,  Brian Reyes ,  Alok Anant Bhide

    IPC: H04L29/08 ,  G06N99/00

    Abstract: Techniques are disclosed for providing adaptive thresholding technology for Key Performance Indicators (KPIs). Adaptive thresholding technology may automatically assign new values or adjust existing values for one or more thresholds of one or more time policies. Assigning threshold values using adaptive thresholding may involve identifying training data (e.g., historical data, simulated data, or example data) for the time frames and analyzing the training data to identify variations within the data (e.g., patterns, distributions, trends). A threshold value may be determined based on the variations and may be assigned to one or more of the thresholds without additional user intervention.

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