DEBS 2016大挑战

Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems Pub Date : 2016-06-13 DOI:10.1145/2933267.2933519

Vincenzo Gulisano, Zbigniew Jerzak, Spyros Voulgaris, H. Ziekow

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引用次数: 26

摘要

DEBS大挑战是一系列解决事件流处理问题的挑战。2016年大挑战的重点是处理来自社交网络的数据流。因此，数据表示一个不断发展的图结构。在这个挑战中，我们采用了2014年SIGMOD竞赛中的一般场景和数据源。然而，与SIGMOD竞赛相比，DEBS的大挑战明确地关注于流数据的连续处理，从而关注图中的动态变化。本文描述了定义2016年DEBS大挑战的数据流和连续查询的细节。

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 2016 grand challenge

The DEBS Grand Challenge is a series of challenges which address problems in event stream processing. The focus of the Grand Challenge in 2016 is on processing of data streams that originate from social networks. Hence, the data represents an evolving graph structure. With this challenge we take up the general scenario and data source from the 2014 SIGMOD contest. However, in contrasts to the SIGMOD contest, the DEBS grand challenge explicitly focuses on continuous processing of streaming data and thus dynamic changes in graphs. This paper describes the specifics of the data streams and continuous queries that define the DEBS Grand Challenge 2016.

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Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems

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