MULTI-LEVEL EVENT COMPUTING MODEL
    2.
    发明申请
    MULTI-LEVEL EVENT COMPUTING MODEL 审中-公开
    多级事件计算模型

    公开(公告)号:US20110071971A1

    公开(公告)日:2011-03-24

    申请号:US12564913

    申请日:2009-09-22

    IPC分类号: G06F17/00 G06N5/00

    CPC分类号: G06N5/02

    摘要: High-order events may be generated and consumed in a cascading computing model. Low level information, such as changes in physical sensor readings, may be communicated to an application in the form of event messages that are generated by an operating system service. In one example, models that implement high level abstractions may also use events to communicate facts that have been inferred from lower level facts. For example, a program might generate events indicating that a particular type of motion (e.g., walking) has started or stopped, where the program infers the walking motion from sensor data about acceleration and position. Another program could consume those events and other data to draw higher level conclusions, such as “Joe is walking to a meeting”. Thus, events may be used in a cascading model in which events are generated and consumed at increasingly high levels of abstraction.

    摘要翻译: 高阶事件可以在级联计算模型中生成并消耗。 诸如物理传感器读数的变化的低级信息可以以由操作系统服务生成的事件消息的形式传送给应用程序。 在一个示例中,实现高级抽象的模型也可以使用事件来传达从较低级别的事实推断的事实。 例如,程序可以产生指示特定类型的运动(例如,行走)已经开始或停止的事件,其中程序从关于加速度和位置的传感器数据推断步行运动。 另一个方案可能会消耗这些事件和其他数据,以得出较高级别的结论,例如“Joe正在走会议”。 因此,可以在级联模型中使用事件,其中生成事件并以越来越高的抽象级别消耗事件。