DYNAMIC RESOLUTION ESTIMATION FOR A DETECTOR

    公开(公告)号:US20240346049A1

    公开(公告)日:2024-10-17

    申请号:US18666603

    申请日:2024-05-16

    Applicant: SPLUNK Inc.

    CPC classification number: G06F16/287 G06F16/24568 G06F16/2477 H04L43/08

    Abstract: Described are systems, methods, and techniques for collecting, analyzing, processing, and storing time series data and for evaluating and dynamically estimating a resolution of one or more streams of data points and updating an output resolution. Responsive to receiving a stream of data points, a data resolution can be derived and an output resolution can be set to a first value. When a change to the data resolution is detected, the output resolution can be changed, modifying a frequency at which output data points are generated and/or transmitted. In some instances, a detector can be implemented to trigger an alert responsive to ingested data points corresponding with triggering parameters. An output resolution for the detector can be dynamically modified based on dynamically detecting a change to the data resolution of the stream of data.

    DYNAMIC RESOLUTION ESTIMATION FOR A DETECTOR

    公开(公告)号:US20230120313A1

    公开(公告)日:2023-04-20

    申请号:US17721251

    申请日:2022-04-14

    Applicant: SPLUNK Inc.

    Abstract: Described are systems, methods, and techniques for collecting, analyzing, processing, and storing time series data and for evaluating and dynamically estimating a resolution of one or more streams of data points and updating an output resolution. Responsive to receiving a stream of data points, a data resolution can be derived and an output resolution can be set to a first value. When a change to the data resolution is detected, the output resolution can be changed, modifying a frequency at which output data points are generated and/or transmitted. In some instances, a detector can be implemented to trigger an alert responsive to ingested data points corresponding with triggering parameters. An output resolution for the detector can be dynamically modified based on dynamically detecting a change to the data resolution of the stream of data.

    Anomaly Detection System and Method for Implementing a Data Regularity Check and Adaptive Thresholding

    公开(公告)号:US20250028618A1

    公开(公告)日:2025-01-23

    申请号:US18222870

    申请日:2023-07-17

    Applicant: Splunk Inc.

    Abstract: Computerized methodologies are disclosed that are directed to detecting anomalies within a time-series data set. A first aspect of the anomaly detection process includes analyzing the regularity of the data points of the time-series data set and determining whether a data aggregation process is to be performed based on the regularity of the data points, which results in a time-series data set having data points occurring at regular intervals. A seasonality pattern may be determined for the time-series data set, where a silhouette score is computed to measure the quality of the fit of the seasonality pattern to the time-series data. The silhouette score may be compared to a threshold and based on the comparison, the seasonality pattern or a set of heuristics may be utilized in an anomaly detection process. When the seasonality pattern is utilized, the seasonality pattern may be utilized to generate thresholds indicating anomalous behavior.

    Dynamic resolution estimation for a detector

    公开(公告)号:US12013880B2

    公开(公告)日:2024-06-18

    申请号:US17721251

    申请日:2022-04-14

    Applicant: SPLUNK Inc.

    CPC classification number: G06F16/287 G06F16/24568 G06F16/2477 H04L43/08

    Abstract: Described are systems, methods, and techniques for collecting, analyzing, processing, and storing time series data and for evaluating and dynamically estimating a resolution of one or more streams of data points and updating an output resolution. Responsive to receiving a stream of data points, a data resolution can be derived and an output resolution can be set to a first value. When a change to the data resolution is detected, the output resolution can be changed, modifying a frequency at which output data points are generated and/or transmitted. In some instances, a detector can be implemented to trigger an alert responsive to ingested data points corresponding with triggering parameters. An output resolution for the detector can be dynamically modified based on dynamically detecting a change to the data resolution of the stream of data.

    Anomaly Detection Through Clustering of Time-Series Data Subsequences and Determination of Adaptive Thresholding

    公开(公告)号:US20250028737A1

    公开(公告)日:2025-01-23

    申请号:US18222863

    申请日:2023-07-17

    Applicant: Splunk Inc.

    Abstract: Computerized methodologies are disclosed that are directed to detecting anomalies within a time-series data set. An aspect of the anomaly detection process includes determining one or more seasonality patterns that correspond to a specific time-series data set by evaluating a set of candidate seasonality patterns (e.g., hourly, daily, weekly, day-start off-sets, etc.). The evaluation of a candidate seasonality pattern may include dividing the time-series data set into a collection of subsequences based on the particular candidate seasonality pattern. Further, the collection of subsequences may be divided into clusters and a silhouette score may be computed to measure the clustering quality of the candidate seasonality pattern. In some instances, the candidate seasonality pattern having the highest silhouette score is selected and utilized in anomaly detection process. In other instances, a plurality of seasonality patterns may be combined forming a time policy, where the time policy is utilized in anomaly detection process.

    Dynamic resolution estimation in metric time series data

    公开(公告)号:US12013879B2

    公开(公告)日:2024-06-18

    申请号:US17721248

    申请日:2022-04-14

    Applicant: SPLUNK Inc.

    CPC classification number: G06F16/287 G06F16/24568 G06F16/2477 H04L43/08

    Abstract: Described are systems, methods, and techniques for collecting, analyzing, processing, and storing time series data and for evaluating and dynamically estimating a resolution of one or more streams of data points and updating an output resolution. Responsive to receiving a stream of data points, a data resolution can be derived and an output resolution can be set to a first value. When a change to the data resolution is detected, the output resolution can be changed, modifying a frequency at which output data points are generated and/or transmitted. In some instances, a detector can be implemented to trigger an alert responsive to ingested data points corresponding with triggering parameters. An output resolution for the detector can be dynamically modified based on dynamically detecting a change to the data resolution of the stream of data.

    DYNAMIC RESOLUTION ESTIMATION IN METRIC TIME SERIES DATA

    公开(公告)号:US20230118988A1

    公开(公告)日:2023-04-20

    申请号:US17721248

    申请日:2022-04-14

    Applicant: SPLUNK Inc.

    Abstract: Described are systems, methods, and techniques for collecting, analyzing, processing, and storing time series data and for evaluating and dynamically estimating a resolution of one or more streams of data points and updating an output resolution. Responsive to receiving a stream of data points, a data resolution can be derived and an output resolution can be set to a first value. When a change to the data resolution is detected, the output resolution can be changed, modifying a frequency at which output data points are generated and/or transmitted. In some instances, a detector can be implemented to trigger an alert responsive to ingested data points corresponding with triggering parameters. An output resolution for the detector can be dynamically modified based on dynamically detecting a change to the data resolution of the stream of data.

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