Data stream integrity in a tiered blockchain structure

    公开(公告)号:US12118127B1

    公开(公告)日:2024-10-15

    申请号:US17514738

    申请日:2021-10-29

    Applicant: SPLUNK INC.

    CPC classification number: G06F21/64 H04L9/3236 H04L9/50

    Abstract: A machine data validation system can track and validate the integrity of machine data generated by machines. The system can generate hashes for the items and batch hashes that can be validated using an immutable data store, such one or more blockchains in a tiered blockchain structure. The system can store machine data and additional associated data in a first lightweight blockchain, and store grouped sets of the data in a second robust blockchain. The system can implement the tiered blockchain structure to efficiently store and reference the hashes to validate the machine data at different times or upon request from an end-user.

    Data visualization in an extended reality environment

    公开(公告)号:US12112010B1

    公开(公告)日:2024-10-08

    申请号:US18313933

    申请日:2023-05-08

    Applicant: SPLUNK INC.

    CPC classification number: G06F3/04815 G06F3/0482 G06F3/04842 G06F9/451

    Abstract: A device that includes an extended reality application is employed by a user to access an extended reality environment. A selection of a first subset of dashboard panels included in a plurality of dashboard panels is received via an input device associated with the extended reality environment. Each dashboard panel included in the plurality of dashboard panels includes a visual representation of data. The first subset of dashboard panels is displayed in a foreground area of a workspace of the XR environment. A second subset of dashboard panels included in the plurality of dashboard panels is displayed in a background area of the workspace of the XR environment.

    Low-latency streaming analytics
    465.
    发明授权

    公开(公告)号:US12105740B2

    公开(公告)日:2024-10-01

    申请号:US18343420

    申请日:2023-06-28

    Applicant: Splunk Inc.

    Abstract: Systems and methods are disclosed for implementing a low-latency data stream monitoring system. The data stream monitoring system may obtain raw data from a data source as soon after the data is generated, and may classify the data according to different topics. The topics may be published in a publish-subscribe messaging model, and data enrichment systems may subscribe to the topics to receive data for enrichment. The data enrichment systems may supplement or replace the raw data with additional information, and may further classify or reclassify the enriched data into different topics. The enriched data may then be published to an alert generation system, which may apply various criteria to the enriched data to determine that alerts should be generated, generate the alerts, and publish or transmit the alerts to client devices. Individual data streams, topics, enrichments, criteria, and alarms may be added, removed, or modified as required.

    Submesh-based updates in an extended reality environment

    公开(公告)号:US12086920B1

    公开(公告)日:2024-09-10

    申请号:US17515325

    申请日:2021-10-29

    Applicant: SPLUNK INC.

    CPC classification number: G06T15/04 G06T15/08 G06T17/205

    Abstract: Various implementations set forth a computer-implemented method for scanning a three-dimensional (3D) environment. The method includes generating, in a first time interval, a first extended reality (XR) stream based on a first set of meshes representing a 3D environment, transmitting, to a remote device, the first XR stream for rendering a 3D representation of a first portion of the 3D environment in a remote XR environment, determining that the 3D environment has changed based on a second set of meshes representing the 3D environment and generated subsequent to the first time interval, generating a second XR stream based on the second set of meshes, and transmitting, to the remote device, the second XR stream for rendering a 3D representation of at least a portion of the changed 3D environment in the remote XR environment.

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