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    OPTIMIZED COMMON INFORMATION MODEL
    1.
    发明申请
    OPTIMIZED COMMON INFORMATION MODEL 审中-公开
    优化的通用信息模型

    公开(公告)号：US20160103908A1

    公开(公告)日：2016-04-14

    申请号：US14800678

    申请日：2015-07-15

    Applicant: Splunk Inc.

    Inventor： Tristan Antonio Fletcher ,  Clint Sharp ,  Anupadmaja Raghavan

    IPC: G06F17/30 ,  G06F3/0484

    CPC classification number: G06F16/334 ,  G06F3/0482 ,  G06F3/04842 ,  G06F16/903 ,  G06Q10/06393 ,  H04L29/08072 ,  H04L41/0686 ,  H04L41/069 ,  H04L41/22 ,  H04L41/5009 ,  H04L41/5032 ,  H04L43/04 ,  H04L63/145

    Abstract: Technologies are disclosed for providing a common information model. Features include: detecting a scheduled time for a key performance indicator reflecting how a service provided by one or more entities is performing, entity definition information recording the association between the entities and its machine data, service definition information associating the entities that provide the service, and the KPI being defined by a search query, including a field identifier specified in a data model, the KPI derives a value from the machine data; performing the query in response to said detecting, including: associating values in the machine data having disparate field names in accordance with disparate schemas with the field identifier specified in the data model, and processing the associated values as semantically equivalent data instances. In doing so, values having the same semantic (or related semantics) can be used together despite being associated with disparate field names from disparate schemas.

    Abstract translation: 公开了用于提供公共信息模型的技术。 特征包括：检测用于反映由一个或多个实体提供的服务如何执行的关键性能指标的预定时间，记录实体与其机器数据之间的关联的实体定义信息，将提供服务的实体相关联的服务定义信息， 并且KPI由搜索查询定义，包括在数据模型中指定的字段标识符，KPI从机器数据中导出值; 响应于所述检测执行查询，包括：根据不同的模式将具有不同字段名称的机器数据中的值与在数据模型中指定的字段标识符相关联，并将相关联的值作为语义等效的数据实例进行处理。 在这样做时，具有相同语义（或相关语义）的值可以一起使用，尽管与来自不同模式的不同字段名称相关联。

    Automatic entity definitions based on derived content
    3.
    发明授权
    Automatic entity definitions based on derived content 有权

    公开(公告)号：US11768836B2

    公开(公告)日：2023-09-26

    申请号：US16582205

    申请日：2019-09-25

    Applicant: Splunk Inc.

    Inventor： Arun Ramani ,  Anupadmaja Raghavan ,  Tristan Antonio Fletcher ,  Marc Chene

    IPC: G06F15/16 ,  G06F16/2457 ,  G06Q10/00

    CPC classification number: G06F16/24573 ,  G06Q10/00

    Abstract: A service monitoring system (SMS) produces key performance indicator (KPI) scores that indicate the performance of a service. To produce the KPI scores, the SMS may process the data for a large number of machine entities that perform the service. This data can be processed on a per-entity basis to produce a per-entity KPI score representing the contribution of a particular machine to the overall KPI. The per-entity KPI scores can be transformed to statistical representations which can be visualized as a distribution stream graph. The visualization may be presented with interactive aspects. Automatic entity definitions may also be generated based on content derived from the processed data.

    Automatic Entity Definitions Based on Derived Content
    6.
    发明申请
    Automatic Entity Definitions Based on Derived Content 审中-公开

    公开(公告)号：US20200019555A1

    公开(公告)日：2020-01-16

    申请号：US16582205

    申请日：2019-09-25

    Applicant: Splunk Inc.

    Inventor： Arun Ramani ,  Anupadmaja Raghavan ,  Tristan Antonio Fletcher ,  Marc Chene

    IPC: G06F16/2457

    Abstract: A service monitoring system (SMS) produces key performance indicator (KPI) scores that indicate the performance of a service. To produce the KPI scores, the SMS may process the data for a large number of machine entities that perform the service. This data can be processed on a per-entity basis to produce a per-entity KPI score representing the contribution of a particular machine to the overall KPI. The per-entity KPI scores can be transformed to statistical representations which can be visualized as a distribution stream graph. The visualization may be presented with interactive aspects. Automatic entity definitions may also be generated based on content derived from the processed data.

    Automatic entity definitions
    7.
    发明授权
    Automatic entity definitions 有权

    公开(公告)号：US10474680B2

    公开(公告)日：2019-11-12

    申请号：US14859243

    申请日：2015-09-18

    Applicant: Splunk Inc.

    Inventor： Arun Ramani ,  Anupadmaja Raghavan ,  Tristan Antonio Fletcher ,  Marc Chene

    IPC: G06F17/30 ,  G06F16/2457 ,  G06Q10/00

    Abstract: Methods are disclosed to take advantage of the early collection of machine data from a new or changed entity in a computing environment in order to update the definitional information about entities used by a service monitoring system. In some embodiments, the process undertaken to recognize new or changed entities in an IT environment from collected machine data may be informed by the expertise of a particular subject matter area by installing that intelligence in a codified form packaged as a domain add-on to the service monitoring system.

    Service analyzer interface
    8.
    发明授权
    Service analyzer interface 有权

    公开(公告)号：US10439922B2

    公开(公告)日：2019-10-08

    申请号：US15925570

    申请日：2018-03-19

    Applicant: Splunk Inc.

    Inventor： Adrian Hall ,  Kenneth M. Sternberg ,  Anupadmaja Raghavan ,  Brian C. Reyes

    IPC: G06F15/173 ,  H04L12/26 ,  H04L29/08 ,  G06F16/28 ,  G06F16/904 ,  G06F16/2457 ,  H04L12/24

    Abstract: Provided are systems and methods for determining and displaying service performance information via a graphical user interface. In one embodiment, a system can provide, for each of one or more machines associated with a service: obtaining performance data for the machine; and comparing the performance data for the machine to one or more predefined performance thresholds for the machine to determine a health status for the machine; and determining a health status for the service based at least in part on the health status of at least one of the one or more machines associated with the service.

    Service Monitoring Adaptation for Maintenance Downtime
    10.
    发明申请
    Service Monitoring Adaptation for Maintenance Downtime 审中-公开
    服务监控适应维护停机时间

    公开(公告)号：US20170004433A1

    公开(公告)日：2017-01-05

    申请号：US15199669

    申请日：2016-06-30

    Applicant: Splunk Inc.

    Inventor： Anupadmaja Raghavan ,  George Daloukov ,  Alok Anant Bhide ,  Ross Andrew Lazerowitz ,  Tristan Antonio Fletcher ,  Alan Vincent Hardin

    IPC: G06Q10/06 ,  G06Q10/00

    CPC classification number: G06Q10/06393 ,  G06Q10/20 ,  H04L41/5006 ,  H04L41/5009

    Abstract: An automatic service monitor in an information technology environment has its operation controlled by information that, in part, defines entities that perform services and defines key performance indicators (KPIs) that indicate measures of performance of the services. Additional information controls the operation of the service monitor with respect to identifying and adapting for KPIs based on the non-normal data caused by maintenance work or other causes. Such adaptation may include changes in how reported information appears to the user.

    Abstract translation: 信息技术环境中的自动服务监视器的操作受到信息的控制，该信息部分地定义了执行服务的实体，并且定义了指示服务性能测量的关键性能指标（KPI）。 附加信息根据由维护工作或其他原因引起的非正常数据，控制服务监视器的操作，以识别和调整KPI。 这种适应可能包括报告信息如何显示给用户的变化。

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