在复杂的物理环境中动态收集数据

P. Lalanda, Stéphanie Chollet, C. Escoffier, D. Morand
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引用次数: 1

摘要

在本文中,我们提出了一个名为Cilia的分布式自治中介框架,专门用于复杂的物理环境,如制造工厂,电力基础设施或智能建筑。我们详细介绍了这些领域的一个激励例子,并解释了在以重要的环境动态性和决策者不断变化的需求为特征的领域中,自主特征是如何绝对必要的。我们还详细介绍了纤毛的主要原理,包括它的自主能力。我们认为,这些自主行为对于在工业环境中处理大数据是必要的。Cilia已在Orange和施耐德电气的合作项目中得到验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic collection of data in complex, physical environments
In this paper, we present a distributed and autonomic mediation framework named Cilia, dedicated to complex physical environments like manufacturing plants, electrical infrastructures or smart buildings. We detail a motivating example in these fields and we explain how autonomic features are absolutely necessary in domains characterized by important environmental dynamism and by evolving needs of decision-makers. We also present in detail the main principles of Cilia, including its autonomic abilities. We believe that these autonomic behaviors are necessary to deal with Big Data in industrial contexts. Cilia has been validated in collaborative projects with Orange and Schneider Electric.
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