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    Online data forecasting
    23.
    发明授权
    Online data forecasting 有权

    公开(公告)号：US12079304B1

    公开(公告)日：2024-09-03

    申请号：US17246228

    申请日：2021-04-30

    Applicant: SPLUNK INC.

    Inventor： Abhinav Mishra ,  Ram Sriharsha ,  Sichen Zhong

    IPC: G06F18/10 ,  G06F18/214 ,  G06Q10/04

    CPC classification number: G06F18/10 ,  G06F18/214 ,  G06Q10/04

    Abstract: Embodiments of the present disclosure are directed to facilitating performing online data forecasting. In operation, data decomposition of an incoming data point is performed to determine a trend component associated with the incoming data point. Such a trend component, and previous trend components, can be used to determine a trend component expected for a data point subsequent to the incoming data point. A seasonality component expected for the data point subsequent to the incoming data point can be identified, for example, based on a seasonality component associated with a previous corresponding data point. Thereafter, the expected trend and seasonality components can be used to predict the data point subsequent to the incoming data point. Such a data prediction can be performed in an online processing manner such that a subsequent data point is not used to decompose the incoming data point or forecast the data point.

    System and method for changepoint detection in streaming data
    24.
    发明授权
    System and method for changepoint detection in streaming data 有权

    公开(公告)号：US11907227B1

    公开(公告)日：2024-02-20

    申请号：US17591511

    申请日：2022-02-02

    Applicant: Splunk, Inc.

    Inventor： Zhaohui Wang ,  Ryan Gannon ,  Xiao Lin ,  Abhinav Mishra ,  Chandrima Sarkar ,  Ram Sriharsha

    IPC: G06F16/00 ,  G06F16/2455 ,  G06F16/22 ,  G06F16/2458

    CPC classification number: G06F16/24568 ,  G06F16/22 ,  G06F16/2462 ,  G06F16/24552

    Abstract: A computerized method is disclosed including operations of receiving a data stream, performing a changepoint detection resulting in a detection of changepoints in the data stream including: maintaining a listing of starting indices for each run within the data stream in a buffer of size L wherein each index of the listing has a run length probability representing a likelihood of being a changepoint, receiving a new data point within the data stream and adding a new index to the buffer resulting in the buffer having size L+1, calculating a posterior run length probability that the new data point is a changepoint, and removing an index from the listing that has a lowest run length probability thereby returning the buffer to size L, and responsive to determining the index removed from the listing does not correspond to the new data point, identifying a changepoint associated with the new data point.

    Online data decomposition
    26.
    发明授权
    Online data decomposition 有权

    公开(公告)号：US11729074B1

    公开(公告)日：2023-08-15

    申请号：US17069693

    申请日：2020-10-13

    Applicant: SPLUNK Inc.

    Inventor： Abhinav Mishra ,  Ram Sriharsha

    IPC: H04L43/067 ,  H04L43/022 ,  H04L43/062 ,  H04L43/04

    CPC classification number: H04L43/067 ,  H04L43/022 ,  H04L43/04 ,  H04L43/062

    Abstract: Embodiments of the present invention are directed to facilitating performing online data decomposition. In accordance with aspects of the present disclosure, an incoming data point of a time series data set is obtained. Thereafter, an iterative process of estimating trend and seasonality is performed to decompose the incoming data point to a set of data components based on a particular set of previous data points of the time series data set and corresponding data components. Generally, the set of data components for the incoming data point include a trend component, a seasonality component, and a residual component. The set of data components is provided for analysis of the incoming data point, such as, for example, to identify data anomalies.

    ANOMALY DETECTION IN DATA INGESTED TO A DATA INTAKE AND QUERY SYSTEM
    28.
    发明申请
    ANOMALY DETECTION IN DATA INGESTED TO A DATA INTAKE AND QUERY SYSTEM 有权

    公开(公告)号：US20210117416A1

    公开(公告)日：2021-04-22

    申请号：US16779479

    申请日：2020-01-31

    Applicant: Splunk Inc.

    Inventor： Ram Sriharsha ,  Kristal Lyn Curtis ,  Iryna Vogler-Ivashchanka ,  Clark Eugene Mullen

    IPC: G06F16/2458 ,  G06F16/23 ,  G06F16/28

    Abstract: Systems and methods are described for processing ingested data in an asynchronous manner as the data is being ingested to detect potential anomalies. For example, one or more streaming data processors can convert data as the data is ingested into a comparable data structure, determine whether the comparable data structure should be assigned to an existing data pattern or a new data pattern, and optionally update a characteristic of the data pattern to which the comparable data structure is assigned. The streaming data processor(s) can perform these operations automatically in real-time or in periodic batches. Once one or more comparable data structures have been assigned to one or more data patterns, the streaming data processor(s) can analyze the comparable data structures assigned to a particular data pattern to determine whether any of the comparable data structures appear to be anomalous.

    ANOMALY AND OUTLIER EXPLANATION GENERATION FOR DATA INGESTED TO A DATA INTAKE AND QUERY SYSTEM
    29.
    发明申请
    ANOMALY AND OUTLIER EXPLANATION GENERATION FOR DATA INGESTED TO A DATA INTAKE AND QUERY SYSTEM 有权

    公开(公告)号：US20210117415A1

    公开(公告)日：2021-04-22

    申请号：US16779460

    申请日：2020-01-31

    Applicant: Splunk Inc.

    Inventor： Ram Sriharsha

    IPC: G06F16/2458 ,  G06F16/2455

    Abstract: Systems and methods are described for processing ingested data, detecting anomalies in the ingested data, and providing explanations of a possible cause of the detected anomalies as the data is being ingested. For example, a token or field in the ingested data may have an anomalous value. Tokens or fields from another portion of the ingested data can be extracted and analyzed to determine whether there is any correlation between the values of the extracted tokens or fields and the anomalous token or field having an anomalous value. If a correlation is detected, this information can be surfaced to a user.

    DATA INGESTION PIPELINE ANOMALY DETECTION
    30.
    发明申请
    DATA INGESTION PIPELINE ANOMALY DETECTION 有权

    公开(公告)号：US20210117232A1

    公开(公告)日：2021-04-22

    申请号：US16670789

    申请日：2019-10-31

    Applicant: Splunk Inc.

    Inventor： Ram Sriharsha ,  Mark Huang ,  Abhinav Mishra ,  Harsha Wasalathanthrige Don

    IPC: G06F9/48 ,  G06F9/38 ,  G06F16/17 ,  G06F17/18

    Abstract: Systems and methods are described for processing ingested pipeline metrics and ingested logs in an asynchronous manner as the data is being ingested to explain anomalies detected in the pipeline metrics using the ingested logs. For example, one or more streaming data processors can convert data as the data is ingested into a comparable data structure, determine whether the comparable data structure should be assigned to an existing data pattern or a new data pattern, and determine whether the logs corresponding to the comparable data structure is anomalous. Separately, the streaming data processor(s) can perform an outlier detection on the pipeline metrics to detect outliers. The streaming data processor(s) can then window the anomalous logs and the pipeline metric outliers to surface explanations for the pipeline metric outliers using the anomalous logs.

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