Facilitating concurrent forecasting of multiple time series

    公开(公告)号:US11244247B2

    公开(公告)日:2022-02-08

    申请号:US16904866

    申请日:2020-06-18

    Applicant: SPLUNK Inc.

    Abstract: Embodiments of the present invention are directed to facilitating concurrent forecasting associating with multiple time series data sets. In accordance with aspects of the present disclosure, a request to perform a predictive analysis in association with multiple time series data sets is received. Thereafter, the request is parsed to identify each of the time series data sets to use in predictive analysis. For each time series data set, an object is initiated to perform the predictive analysis for the corresponding time series data set. Generally, the predictive analysis predicts expected outcomes based on the corresponding time series data set. Each object is concurrently executed to generate expected outcomes associated with the corresponding time series data set, and the expected outcomes associated with each of the corresponding time series data sets are provided for display.

    FACILITATING CONCURRENT FORECASTING OF MULTIPLE TIME SERIES

    公开(公告)号:US20210042658A1

    公开(公告)日:2021-02-11

    申请号:US16904866

    申请日:2020-06-18

    Applicant: SPLUNK Inc.

    Abstract: Embodiments of the present invention are directed to facilitating concurrent forecasting associating with multiple time series data sets. In accordance with aspects of the present disclosure, a request to perform a predictive analysis in association with multiple time series data sets is received. Thereafter, the request is parsed to identify each of the time series data sets to use in predictive analysis. For each time series data set, an object is initiated to perform the predictive analysis for the corresponding time series data set. Generally, the predictive analysis predicts expected outcomes based on the corresponding time series data set. Each object is concurrently executed to generate expected outcomes associated with the corresponding time series data set, and the expected outcomes associated with each of the corresponding time series data sets are provided for display.

    FACILITATING METRIC FORECASTING VIA A GRAPHICAL USER INTERFACE

    公开(公告)号:US20200320145A1

    公开(公告)日:2020-10-08

    申请号:US16904168

    申请日:2020-06-17

    Applicant: SPLUNK Inc.

    Abstract: Operational machine components of an information technology (IT) or other microprocessor- or microcontroller-permeated environment generate disparate forms of machine data. Network connections are established between these components and processors of an automatic data intake and query system (DIQS). The DIQS conducts network transactions on a periodic and/or continuous basis with the machine components to receive the disparate data and ingest certain of the data as measurement entries of a DIQS metrics datastore that is searchable for DIQS query processing. The DIQS may receive search queries to process against the received and ingested data via an exposed network interface. In one example embodiment, a query building component conducts a user interface using a network attached client device. The query building component may elicit search criteria via the user interface using a natural language interface, construct a proper query therefrom, and present new information based on results returned from the DIQS.

    Anomaly detection
    24.
    发明授权

    公开(公告)号:US10592093B2

    公开(公告)日:2020-03-17

    申请号:US14859248

    申请日:2015-09-18

    Applicant: Splunk Inc.

    Abstract: Techniques are disclosed for anomaly detection. A search query can be executed over a period of time to produce values for a key performance indicator (KPI), the search query defining the KPI and deriving a value indicative of the performance of a service at a point in time or during a period of time, the value derived from machine data pertaining to one or more entities that provide the service. A graphical user interface (GUI) enabling a user to indicate a sensitivity setting can be displayed. A user input indicating the sensitivity setting can be received via the GUI. Zero or more of the values as anomalies can be identified in consideration of the sensitivity setting indicated by the user input. A GUI including information related to the values identified as anomalies can be caused to be displayed.

    ADAPTIVE KEY PERFORMANCE INDICATOR THRESHOLDS
    25.
    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.

    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。

    Facilitating alerts for predicted conditions

    公开(公告)号:US11593443B1

    公开(公告)日:2023-02-28

    申请号:US17449545

    申请日:2021-09-30

    Applicant: SPLUNK INC.

    Abstract: Operational machine components of an information technology (IT) or other microprocessor- or microcontroller-permeated environment generate disparate forms of machine data. Network connections are established between these components and processors of an automatic data intake and query system (DIQS). The DIQS conducts network transactions on a periodic and/or continuous basis with the machine components to receive the disparate data and ingest certain of the data as measurement entries of a DIQS metrics datastore that is searchable for DIQS query processing. The DIQS may receive search queries to process against the received and ingested data via an exposed network interface. In one example embodiment, a query building component conducts a user interface using a network attached client device. The query building component may elicit search criteria via the user interface using a natural language interface, construct a proper query therefrom, and present new information based on results returned from the DIQS.

    Facilitating metric forecasting via a graphical user interface

    公开(公告)号:US11188600B2

    公开(公告)日:2021-11-30

    申请号:US16904168

    申请日:2020-06-17

    Applicant: SPLUNK Inc.

    Abstract: Operational machine components of an information technology (IT) or other microprocessor- or microcontroller-permeated environment generate disparate forms of machine data. Network connections are established between these components and processors of an automatic data intake and query system (DIQS). The DIQS conducts network transactions on a periodic and/or continuous basis with the machine components to receive the disparate data and ingest certain of the data as measurement entries of a DIQS metrics datastore that is searchable for DIQS query processing. The DIQS may receive search queries to process against the received and ingested data via an exposed network interface. In one example embodiment, a query building component conducts a user interface using a network attached client device. The query building component may elicit search criteria via the user interface using a natural language interface, construct a proper query therefrom, and present new information based on results returned from the DIQS.

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