DEBS 2017大挑战

Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems Pub Date : 2017-06-08 DOI:10.1145/3093742.3096342

Vincenzo Gulisano, Zbigniew Jerzak, R. Katerinenko, M. Strohbach, H. Ziekow

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引用次数: 24

摘要

ACM DEBS 2017大挑战是一系列挑战中的第七项，旨在为研究和基于工业事件的系统的竞赛提供共同的基础和评估标准。2017年大挑战的重点是分析由嵌入式制造设备中的数字和模拟传感器生成的RDF流数据。分析的目的是检测这种制造设备的异常行为。本文描述了定义DEBS 2017大挑战的数据流和连续查询的细节。它还描述了支持测试相应解决方案的基准测试平台。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The DEBS 2017 Grand Challenge

The ACM DEBS 2017 Grand Challenge is the seventh in a series of challenges which seek to provide a common ground and evaluation criteria for a competition aimed at both research and industrial event-based systems. The focus of the 2017 Grand Challenge is on the analysis of the RDF streaming data generated by digital and analogue sensors embedded within manufacturing equipment. The analysis aims at the detection of anomalies in the behavior of such manufacturing equipment. This paper describes the specifics of the data streams and continuous queries that define the DEBS 2017 Grand Challenge. It also describes the benchmarking platform that supports testing of corresponding solutions.

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Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems

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