基于事件的传感数据组织模型

Yunchuan Sun, Junsheng Zhang, R. Bie, Hongli Yan, Ye Xia, Zhangbing Zhou
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摘要

物联网(IoT)中数以万亿计的传感设备不断产生大规模的传感数据。如何组织和管理这些传感数据成为一个巨大的挑战。在本文中,我们提出了一种基于事件的组织模型——事件链接网络(Event-Linked Network, ELN)来管理大传感数据。本文还探讨了几种不同类型的查询,这些查询与传统关系数据库上的查询不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Event-based organization model for sensing data
Large scaled sensing data are continuously generated by the trillions of sensing devices in the Internet of Things(IoT). It becomes a big challenge to organize and manage these sensing data. In this paper, we propose an event-based organizing model, Event-Linked Network(ELN), to manage the big sensing data. Several different types of queries are also explored, which are different from the queries on traditional relational databases.
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