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Event processing with dynamically changing focus: Doctoral consortium paper

机译:动态变化焦点的事件处理:博士组织纸

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Event Processing technologies are likely to play an increasingly important role in future IT systems due to the increasing demand for on-line analytical systems as well as big data processing applications. Event Processing is particularly suitable for those applications due to its active processing approach combined with scalability. Today's approaches for achieving scalability are however focused on rather static event stream partitioning mechanisms to allow parallelization. Such approaches are well suited as long as a feasible partitioning for all processing tasks can be found. However when such a scaling mechanism is faced with processing tasks with dynamically changing focus areas, no effective pre-determined partitioning can be found which massively hampers with the required scalability. This paper presents the first steps towards a focused processing framework to overcome these limitations.
机译:由于对在线分析系统的需求增加以及大数据处理应用,因此,事件处理技术可能在未来IT系统中发挥越来越重要的作用。由于其主动处理方法结合可扩展性,事件处理特别适用于这些应用。然而,今天实现可扩展性的方法占据了相当静态的事件流分区机制,以允许并行化。这种方法非常适合,只要可以找到所有处理任务的可行分区。然而,当这种缩放机制面对具有动态改变的焦点区域的处理任务时,没有能够找到有效的预定分区,其中具有所需的可扩展性的大量堵塞。本文介绍了朝着克服这些限制的重点处理框架的第一步。

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