Remediating events using behaviors
    2.
    发明授权
    Remediating events using behaviors 有权
    使用行为来修复事件

    公开(公告)号:US08935572B2

    公开(公告)日:2015-01-13

    申请号:US13706662

    申请日:2012-12-06

    CPC classification number: H04L41/00 G06F11/0709 G06F11/0766 G06F11/0793

    Abstract: Remediating events of components using behaviors via an administrator system and an administrator client. The administrator system receives an event from a component of an information technology (IT) environment. A behavior is determined at least partly from the event. The behavior is determined to be an anomalous behavior at least partly from a group of previously received events. A coefficient is calculated, via a calculation, for the anomalous behavior at least partly from a weight. The administrator system sends a description of the anomalous behavior and a group of options to the administrator client. The description is at least partly based on the calculation. The administrator system receives a severity indication from the administrator client. The weight, the calculation, and the description are updated based on the severity indication.

    Abstract translation: 通过管理员系统和管理员客户端,使用行为来修复组件的事件。 管理员系统从信息技术(IT)环境的组件接收事件。 行为至少部分地来自事件。 行为被确定为至少部分来自一组先前接收到的事件的异常行为。 通过计算,至少部分地从重量计算异常行为的系数。 管理员系统向管理员客户端发送异常行为和一组选项的描述。 描述至少部分基于计算。 管理员系统从管理员客户端接收严重性指示。 权重,计算和描述根据严重性指示进行更新。

    Graphics processing unit resource sharing

    公开(公告)号:US09830678B2

    公开(公告)日:2017-11-28

    申请号:US15059822

    申请日:2016-03-03

    CPC classification number: G06T1/20 G06F2009/45579 G06T1/60

    Abstract: Examples of GPU resource sharing among distributed applications in a distributed computing environment are disclosed. In one example, a method includes receiving a first request from a first distributed application of the plurality of distributed applications for first requested GPU resources. The method may further include receiving a second request from a second distributed application of the plurality of distributed applications for second requested GPU resources. The method may also include receiving response from each of the plurality of computing nodes indicating an availability of GPU resources for each of the plurality of computing nodes. Additionally, the method may include, responsive to determining that at least one of the first and second requests can be fulfilled by at least one of the plurality of computing nodes, allocating a first set of GPU slices for the first application and allocating a second set of GPU slices for the second application.

    Remediating events using behaviors

    公开(公告)号:US08977900B2

    公开(公告)日:2015-03-10

    申请号:US13729958

    申请日:2012-12-28

    CPC classification number: H04L41/00 G06F11/0709 G06F11/0766 G06F11/0793

    Abstract: Remediating events of components using behaviors via an administrator system and an administrator client. The administrator system receives an event from a component of an information technology (IT) environment. A behavior is determined at least partly from the event. The behavior is determined to be an anomalous behavior at least partly from a group of previously received events. A coefficient is calculated, via a calculation, for the anomalous behavior at least partly from a weight. The administrator system sends a description of the anomalous behavior and a group of options to the administrator client. The description is at least partly based on the calculation. The administrator system receives a severity indication from the administrator client. The weight, the calculation, and the description are updated based on the severity indication.

    Policy based data collection, processing, and negotiation for analytics

    公开(公告)号:US10223329B2

    公开(公告)日:2019-03-05

    申请号:US14664225

    申请日:2015-03-20

    Abstract: An approach for ontological policy based data collection, processing, and negotiation for data in view of analytics is provided. The approach searches one or more data sources for data related to a data request. The approach collects data related to the data request from the one or more data sources. The approach determines whether one or more attributes generated from the data request match one or more descriptors associated with the data related to the data request. The approach creates one or more annotated ontologies for the data related to the data request. The approach displays a hierarchical visualization of the one or more annotated ontologies for the data related to the data request. The approach updates the one or more annotated ontologies for the data related to the data request based, at least in part, on an evaluation of the quality of the one or more data selections.

    Early risk identification in DevOps environments

    公开(公告)号:US09921952B2

    公开(公告)日:2018-03-20

    申请号:US14727960

    申请日:2015-06-02

    CPC classification number: G06F11/3692 G06F8/00 G06Q10/00

    Abstract: A computer executes a first version of a code module in a first test environment, collects a first set of execution measurements, and creates a first profile based on the first set of execution measurements. The computer executes the first version of the code module in a second test environment, collects a second set of execution measurements, and creates a second profile based on the second set of execution measurements. In response to a difference between the first profile and the second profile exceeding a threshold, the computer provides diagnostic data characterizing the difference, analyzes an impact of the difference on the execution of the code module, calculates a risk of code module failure value based on analyzing the impact of the difference, and provides a recommended action based on analyzing the impact of the difference and the calculated risk of code module failure value.

    Graphics processing unit resource sharing

    公开(公告)号:US09830677B2

    公开(公告)日:2017-11-28

    申请号:US15059580

    申请日:2016-03-03

    CPC classification number: G06T1/20 G06F2009/45579 G06T1/60

    Abstract: Examples of GPU resource sharing among applications are disclosed. In one example, a method includes receiving a first request from a first application of the plurality of applications for first requested GPU resources, and receiving a second request from a second application of the plurality of applications for second GPU resources. The method also includes, responsive to determining that the first requested GPU resources are available, allocating a first slice of the GPU resources with a first requested amount of resources to the first application and, responsive to determining that the second requested GPU resources are available, allocating a second slice of the GPU resources with a second requested amount of resources to the second application. Further, the method includes enabling the first application and the second application to execute concurrently within the first slice of the GPU and the second slice of the GPU respectively.

    CLUSTER BASED DESKTOP MANAGEMENT SERVICES
    10.
    发明申请
    CLUSTER BASED DESKTOP MANAGEMENT SERVICES 审中-公开
    集群式餐桌管理服务

    公开(公告)号:US20160379134A1

    公开(公告)日:2016-12-29

    申请号:US14749021

    申请日:2015-06-24

    CPC classification number: G06N20/00 G06N5/04

    Abstract: Historical data and real-time data are collected for a plurality of computing resources. Based on the collected historical data, typical behavior of the plurality of computing resources is modeled and resulting models are stored in a model repository. With an inference engine, the real-time data is compared to the models. The plurality of computing resources are managed based on the comparing step.

    Abstract translation: 针对多个计算资源收集历史数据和实时数据。 基于收集的历史数据,对多个计算资源的典型行为进行建模,并将模型存储在模型库中。 使用推理引擎,将实时数据与模型进行比较。 基于比较步骤来管理多个计算资源。

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