ENRICHING EVENTS WITH DYNAMICALLY TYPED BIG DATA FOR EVENT PROCESSING
    1.
    发明公开
    ENRICHING EVENTS WITH DYNAMICALLY TYPED BIG DATA FOR EVENT PROCESSING 审中-公开
    利用事件处理的动态类型大数据丰富活动

    公开(公告)号:EP3198479A1

    公开(公告)日:2017-08-02

    申请号:EP15778105.5

    申请日:2015-09-21

    IPC分类号: G06F17/30

    摘要: Some event ordering requirements can be determined based on continuous event processing queries. Other event ordering requirements can be determined based on distribution flow types being used to distribute events from event streams to node executing the queries. Events from event streams can be ordered according to ordering semantics that are based on a combination of all of these event ordering requirements. Additionally, virtual computing nodes can be associated with constraints, and computing processors can be associated with capabilities. Virtual computing nodes for processing event streams can be assigned to execute on various computing processors based on both these constraints and capabilities. Additionally, for each of several events in an event stream, a ratio between a total latency and a communication latency can be for determined. Based on an average of these ratios, a quantity of reducing nodes that will be involved in a map-reduce operation can be selected.

    摘要翻译: 一些事件排序要求可以基于连续的事件处理查询来确定。 其他事件排序要求可以基于用于将事件从事件流分发到执行查询的节点的分发流类型来确定。 来自事件流的事件可以根据基于所有这些事件排序要求的组合的排序语义进行排序。 另外,虚拟计算节点可以与约束相关联,并且计算处理器可以与能力相关联。 用于处理事件流的虚拟计算节点可以被分配以基于这些约束和能力在各种计算处理器上执行。 另外,对于事件流中的多个事件中的每一个事件,可以确定总等待时间和通信等待时间之间的比率。 基于这些比率的平均值,可以选择将涉及地图缩小操作的减少节点的数量。