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SensorStream: a semantic real-time stream management system

机译:SensorStream:语义实时流管理系统

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摘要

As data proliferates at increasing rates, the need for real-time stream processing applications increases as well. In the same way that Data Stream Management Systems (DSMS) have emerged from the database community, there is now a similar concern in managing dynamic knowledge among the Semantic Web community. Unfortunately, early relevant approaches are, to a large extent, theoretical and do not present convincing evidence of their efficiency in real dynamic environments. In this paper, we present a framework for the effective, real-time processing of streaming data and we define and analyse in depth its key components. Our framework serves as a basis for the implementation of the SensorStream prototype, on which we run numerous performance and scalability measurements that outline its behaviour and demonstrate its suitability and scalability for solutions that require real-time information processing from distributed and heterogeneous data sources.
机译:随着数据激增,对实时流处理应用程序的需求也随之增加。与数据库社区中出现的数据流管理系统(DSMS)一样,现在在语义Web社区中管理动态知识也存在类似的问题。不幸的是,早期的相关方法在很大程度上是理论上的,并没有提供令人信服的证据证明其在实际动态环境中的效率。在本文中,我们提出了一种有效,实时处理流数据的框架,并深入定义和分析了其关键组成部分。我们的框架是实施SensorStream原型的基础,在此基础上,我们运行了许多性能和可伸缩性度量,这些度量概述了其行为并证明了其对需要实时处理分布式和异构数据源信息的解决方案的适用性和可扩展性。

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