数据流处理应用的符号

C. Hochreiner, Matteo Nardelli, Bernhard Knasmüller, Stefan Schulte, S. Dustdar
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引用次数: 1

摘要

物联网(IoT)的持续增长需要建立流处理引擎(spe)来应对新的挑战,例如物联网传感器的地理分布和托管spe的云。这些挑战要求spe支持跨不同地理位置的分布式流处理,这也需要一种新的方法来定义数据流处理拓扑。在本文中,我们确定了下一代spe所需的特性,并介绍了维也纳拓扑描述语言(VTDL)。这种语言是专门为解决下一代spe的挑战而设计的,与现有的拓扑描述概念相比,它提出了几个新颖的方面。为了不仅评估可行性,而且评估由于VTDL而减少的管理开销,我们在VISP流处理生态系统中评估了VTDL,并表明使用VTDL方法可将管理时间减少18倍。
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VTDL: A Notation for Data Stream Processing Applications
The continuing growth of the Internet of Things (IoT) requires established stream processing engines (SPEs) to cope with new challenges, like the geographic distribution of IoT sensors and clouds hosting the SPEs. These challenges obligate SPEs to support distributed stream processing across different geographic locations which also require a new approach on how data stream processing topologies are defined. In this paper, we identify required features for next-generation SPEs and introduce the Vienna Topology Description Language (VTDL). This language is specifically designed to address challenges for next-generation SPEs and proposes several novel aspects compared to existing topology description concepts. To assess not only the feasibility but also the reduced management overhead due to the VTDL, we evaluate the VTDL within the VISP stream processing ecosystem and show that the usage of the VTDL approach results in a management time reduction of up to 18 times.
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