Cenote:面向物联网的大数据管理和分析基础设施

Kyriakos C. Chatzidimitriou, Michail D. Papamichail, Napoleon-Christos I. Oikonomou, Dimitrios Lampoudis, A. Symeonidis
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引用次数: 10

摘要

在大数据、云计算和物联网时代,大多数现有的集成解决方案要么是专有的,要么将功能限制在一组预定义的需求中,要么隐藏了数据存储和访问的方式。在这项工作中,我们提出了Cenote,一个开源的物联网大数据管理和分析基础设施,克服了上述限制。Cenote建立在基于组件的软件工程原理之上,并提供了一个基于各个组件的全包解决方案。CCS CONCEPTS•软件及其工程$\右列$数据流架构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cenote: A Big Data Management and Analytics Infrastructure for theWeb of Things
In the era of Big Data, Cloud Computing and Internet of Things, most of the existing, integrated solutions that attempt to solve their challenges are either proprietary, limit functionality to a predefined set of requirements, or hide the way data are stored and accessed. In this work we propose Cenote, an open source Big Data management and analytics infrastructure for the Web of Things that overcomes the above limitations. Cenote is built on component-based software engineering principles and provides an all-inclusive solution based on components that work well individually. CCS CONCEPTS • Software and its engineering $\rightarrow$ Data flow architectures.
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