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Enriching events with dynamically typed big data for event processing

机译:动态输入大数据丰富事件以进行事件处理

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.
机译:可以基于连续事件处理查询来确定一些事件排序要求。可以基于分发流类型确定其他事件排序要求,该分发流类型用于将事件从事件流分发到执行查询的节点。可以根据基于所有这些事件排序要求的组合的排序语义对事件流中的事件进行排序。另外,虚拟计算节点可以与约束条件相关联,而计算处理器可以与功能相关联。可以基于这些约束和功能将用于处理事件流的虚拟计算节点分配为在各种计算处理器上执行。另外,对于事件流中的几个事件中的每一个,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,可以选择将在映射归约操作中涉及的归约节点数量。

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