Machine Learning in Edge Analytics
    11.
    发明申请

    公开(公告)号:US20180032908A1

    公开(公告)日:2018-02-01

    申请号:US15224439

    申请日:2016-07-29

    Applicant: Splunk Inc.

    CPC classification number: G06N20/00 G06F11/30

    Abstract: Disclosed is a technique that can be performed by an electronic device. The technique can include generating raw data based on inputs to the electronic device, and sending the raw data or data items over a network to a server computer system. The sent raw data or the data items can include training data. The technique can further include receiving global model data from the server computer system over the network. The global model data may have been derived from the training data in accordance with a machine learning process. The technique can further include generating an updated local model by updating a local model associated with the electronic device based on the received global model data, and processing local data based on the updated local model to generate output data. The local data can include raw data or data items generated based on inputs to the electronic device.

    Asset group interface driven by search-derived asset tree hierarchy

    公开(公告)号:US11210278B1

    公开(公告)日:2021-12-28

    申请号:US16147430

    申请日:2018-09-28

    Applicant: Splunk Inc.

    Abstract: An asset monitoring and reporting system (AMRS) implements an interface to establish an asset hierarchy to be monitored and reported against. The interface employs a search query of extant asset data from which definitional aspects of the asset hierarchy can be identified, and therefrom the interface automatically determines control information reflective of the asset hierarchy to direct the ongoing operation of the AMRS. The interface further receives an identification of one or more asset nodes of an asset hierarchy for inclusion in an asset group, receives an identification of a group metric definition of a group metric of the asset group, and reflects in computer storage an asset group definition comprising an association of each of the one or more asset nodes and an association of the group metric definition.

    Control interface for metric definition specification for assets and asset groups driven by search-derived asset tree hierarchy

    公开(公告)号:US10564622B1

    公开(公告)日:2020-02-18

    申请号:US16147439

    申请日:2018-09-28

    Applicant: Splunk Inc.

    Abstract: An asset monitoring and reporting system (AMRS) implements an interface to establish an asset hierarchy to be monitored and reported against. The interface employs a search query of extant asset data from which definitional aspects of the asset hierarchy can be identified, and therefrom the interface automatically determines control information reflective of the asset hierarchy to direct the ongoing operation of the AMRS. The interface further allows for configuration of a metric definition for a metric of an asset node of the asset hierarchy, the metric representing a point in time or a period of time and derived from a metric-time search of machine data produced by or about the asset node and receives an identification of a metric determination specification for the metric definition, the metric determination specification comprising at least identification of a metric component and identification of a calculation operation to apply to the metric component.

    Control interface for asset tree monitoring

    公开(公告)号:US10747816B1

    公开(公告)日:2020-08-18

    申请号:US16263882

    申请日:2019-01-31

    Applicant: Splunk Inc.

    Abstract: An asset monitoring and reporting system (AMRS) implements an interface to establish an asset hierarchy to be monitored and reported against. The interface employs a search query of extant asset data from which definitional aspects of the asset hierarchy can be identified, and therefrom the interface automatically determines control information reflective of the asset hierarchy to direct the ongoing operation of the AMRS. The asset or component hierarchy may further inform operations related to the generation and display of a user interface presenting widgets that graphically depict information about one or more such components during AMRS operation.

    CONTROL INTERFACE FOR METRIC DEFINITION SPECIFICATION FOR ASSETS DRIVEN BY SEARCH-DERIVED ASSET TREE HIERARCHY

    公开(公告)号:US20200150621A1

    公开(公告)日:2020-05-14

    申请号:US16743549

    申请日:2020-01-15

    Applicant: Splunk Inc.

    Abstract: An asset monitoring and reporting system (AMRS) implements an interface to establish an asset hierarchy to be monitored and reported against. The interface employs a search query of extant asset data from which definitional aspects of the asset hierarchy can be identified, and therefrom the interface automatically determines control information reflective of the asset hierarchy to direct the ongoing operation of the AMRS. The interface further allows for configuration of a metric definition for a metric of an asset node of the asset hierarchy, the metric representing a point in time or a period of time and derived from a metric-time search of machine data produced by or about the asset node and receives an identification of a metric determination specification for the metric definition, the metric determination specification comprising at least identification of a metric component and identification of a calculation operation to apply to the metric component.

    Analytics for Edge Devices
    20.
    发明申请

    公开(公告)号:US20180034715A1

    公开(公告)日:2018-02-01

    申请号:US15224440

    申请日:2016-07-29

    Applicant: Splunk Inc.

    Abstract: Disclosed is a technique that can be performed by an electronic device. The technique can include generating timestamped events, where the timestamped events include raw data generated by electronic device. The technique can further include obtaining results by performing a operation on the timestamped events, in accordance with instructions. The technique can further include sending the results or indicia thereof over a network to a server computer system, and receiving back new instructions generated by the server computer system based on the sent results. Lastly, the technique can include performing a new operation on timestamped events including raw data generated based by the electronic device, where the new operation can be performed in accordance with the new instructions to obtain new results.

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