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When Processes Rule Event Streams

机译:何时处理规则事件流

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摘要

Big Data brings with it new and exciting challenges to complex event processing. Large volumes of simple events that stream in high velocity to our processing stations from a variety of sources call for rethinking traditional methods of processing complex events. In this talk we shall explore the interesting phenomenon of event streams that are produced by processes, e.g., bus data that is governed by bus routes or real-time positioning system tracking patients in an outpatient clinic. The talk shall answer some of the related interesting questions: how do we discover the rules that govern event creation? how do we use such rules to optimize complex event processing? and suggest directions for future research. The talk will be accompanied by examples of urban transportation in Dublin (the INSIGHT European project) and patient visits to Dana-Farber Cancer Institute (DFCI), a large outpatient cancer in the US.
机译:大数据给复杂事件处理带来了新的挑战。从各种来源高速流向我们的处理站的大量简单事件要求重新考虑处理复杂事件的传统方法。在本次演讲中,我们将探讨由流程产生的事件流的有趣现象,例如由公交路线或跟踪门诊患者的实时定位系统控制的公交数据。演讲将回答一些相关的有趣问题:我们如何发现控制事件创建的规则?我们如何使用这些规则来优化复杂的事件处理?并提出未来研究的方向。演讲中将附有都柏林城市交通的实例(INSIGHT欧洲项目)以及对美国大型门诊癌症患者达纳-法伯癌症研究所(DFCI)的患者访问。

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