Root Cause Identification in Hybrid Applications via Probing

    公开(公告)号:US20240330096A1

    公开(公告)日:2024-10-03

    申请号:US18128370

    申请日:2023-03-30

    CPC classification number: G06F11/079 G06F11/3089

    Abstract: Mechanisms are provided that detect an anomaly in performance of a hybrid application based on a specification of required performance and collected passive monitoring data, and that generate a causal generative model based on relationships between hybrid application components and computing system architecture components extracted from the passive monitoring data. Root cause identification (RCI) logic is executed on the causal generative model to identify a set of candidate root causes of the detected anomaly. One or more probes are identified for active monitoring data collection targeting the identified set of candidate root causes, which are then executed to collect probe data. Reinforcement learning is performed of the RCI logic to update the RCI logic based on the probe data. The set of candidate root causes is updated based on the reinforcement learning.

    AUTOMATED HEALTH-CHECK RISK ASSESSMENT OF COMPUTING ASSETS

    公开(公告)号:US20220129560A1

    公开(公告)日:2022-04-28

    申请号:US17078563

    申请日:2020-10-23

    Abstract: Systems and techniques that facilitate automated health-check risk assessment of computing assets are provided. In various embodiments, a system can comprise a baseline component that can generate a baseline health-check risk score that corresponds to non-compliance of a computing asset with a stipulated control. In various aspects, the system can further comprise an adjustment component that can adjust the baseline health-check risk score based on a weakness factor of the stipulated control. In some cases, the weakness factor can be based on a magnitude by which a state of the computing asset deviates from the stipulated control. In various embodiments, the adjustment component can further adjust the baseline health-check risk score based on an environmental factor of the computing asset. In various cases, the environmental factor can be based on security mechanisms or security protocols associated with the computing asset. In various embodiments, the adjustment component can further adjust the baseline health-check risk score based on a criticality factor. In some instances, the critical factor can be based on a level of importance of the computing asset. In various embodiments, the adjustment component can further adjust the baseline health-check risk score based on a maturity factor. In some aspects, the maturity factor can be based on a difference between the stipulated control and a recommended control.

    Server validation with dynamic assembly of scripts
    6.
    发明授权
    Server validation with dynamic assembly of scripts 有权
    服务器验证与脚本的动态汇编

    公开(公告)号:US09450985B2

    公开(公告)日:2016-09-20

    申请号:US14450422

    申请日:2014-08-04

    CPC classification number: H04L63/20 G06F8/60 H04L67/10

    Abstract: Systems and methods for computer automated validation of server configurations are provided. A method for validation of a target environment, comprises assembling a validation script from a plurality of script fragments, inserting the assembled validation script into the target environment, executing the validation script in the target environment, gathering results of the executing, and reporting the results to at least one user.

    Abstract translation: 提供了服务器配置的计算机自动验证的系统和方法。 一种用于验证目标环境的方法,包括从多个脚本片段组装验证脚本,将组装的验证脚本插入到目标环境中,在目标环境中执行验证脚本,收集执行结果并报告结果 至少一个用户。

    SERVER VALIDATION WITH DYNAMIC ASSEMBLY OF SCRIPTS
    7.
    发明申请
    SERVER VALIDATION WITH DYNAMIC ASSEMBLY OF SCRIPTS 有权
    服务器验证与动词大纲的脚本

    公开(公告)号:US20160036858A1

    公开(公告)日:2016-02-04

    申请号:US14450422

    申请日:2014-08-04

    CPC classification number: H04L63/20 G06F8/60 H04L67/10

    Abstract: Systems and methods for computer automated validation of server configurations are provided. A method for validation of a target environment, comprises assembling a validation script from a plurality of script fragments, inserting the assembled validation script into the target environment, executing the validation script in the target environment, gathering results of the executing, and reporting the results to at least one user.

    Abstract translation: 提供了服务器配置的计算机自动验证的系统和方法。 一种用于验证目标环境的方法,包括从多个脚本片段组装验证脚本,将组装的验证脚本插入到目标环境中,在目标环境中执行验证脚本,收集执行结果并报告结果 至少一个用户。

    Distributed Edge Application Compliance
    8.
    发明公开

    公开(公告)号:US20240320687A1

    公开(公告)日:2024-09-26

    申请号:US18189681

    申请日:2023-03-24

    CPC classification number: G06Q30/018

    Abstract: A computer implemented method determines a compliance of an application. A number of processor units determines compliance scores resulting from compliance checks performed at each layer in layers in an edge computing network for components for the application running in the layers. The compliance checks performed at each layer are determined using a compliance profile identifying a set of the compliance checks for each component in the application. The number of processor units transmit the compliance scores determined in each layer in the layers upward to a top layer in the layers. The number of processor units aggregate compliance scores received from the components in a lower layer for transmission upward in the layers to the top layer as aggregated compliance scores. The number of processor units determine the compliance for the application using an overall aggregate score determined at the top layer.

    UNIFIED BATTERY-STATUS OBSERVABILITY
    9.
    发明公开

    公开(公告)号:US20240201264A1

    公开(公告)日:2024-06-20

    申请号:US18081682

    申请日:2022-12-14

    CPC classification number: G01R31/367 G01R31/382 H01M10/4207 H01M10/4285

    Abstract: A method for unifying battery-status observability across a plurality of heterogeneous devices includes identifying a plurality of heterogeneous devices where each device includes a battery to power the device. The method monitors battery status of each device of the heterogeneous devices. The method may also access crowdsourced data to determine battery life associated with at least one device of the heterogeneous devices. Using the battery status and potentially the crowdsourced data, the method predicts the remaining battery life for each device of the heterogeneous devices. The method presents the remaining battery life of each of the heterogeneous devices on a unified dashboard. In certain embodiments, a user may be alerted in the event the remaining battery life of a device of the heterogeneous devices falls below a selected threshold. A corresponding system and computer program product are also disclosed.

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