SCoTv2:大规模数据采集、处理和可视化平台

Ana Rita Santiago, M. Antunes, J. Barraca, D. Gomes, R. Aguiar
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引用次数: 3

摘要

物联网(IoT)解决方案正变得非常流行,因为现在一切都可以通过技术服务来处理。目前,数据是数字信息,因此需要设计平台和服务来填补数据传感器和处理框架之间的空白。物联网平台负责将数据源附加到剩余的处理架构中。本文提出了一个机器对机器(M2M)平台,能够监控数据的采集、处理和可视化。使用SCoTv2允许用户集成多个源,并通过将传感器与平台连接来获取相关信息。由于我们的卓越目标是创建一个对多种场景有用的大规模平台,因此研究的重要部分与软件挑战和技术之间的联系有关。因此,我们的主要贡献是能够响应不同用例的有效架构的定义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SCoTv2: Large Scale Data Acquisition, Processing, and Visualization Platform
Internet of Things (IoT) solutions are becoming very popular since everything can now be processed through a technological service. Currently, data is digital information, creating the need to design platforms and services that fill the gap between data sensors and processing frameworks. IoT Platforms are responsible for attaching data sources with the remaining processing architecture. This paper presents a Machine to Machine (M2M) platform able to monitor data acquisition, processing, and visualization. The use of SCoTv2 allows users to integrate several sources and obtain relevant information only by connecting their sensors with the platform. As our preeminent goal is creating a large scale platform useful for several scenarios, a significant part of the study is related to software challenges, and the connection between technologies. Therefore, our principal contribution is the definition of effective architecture able to reply to different use cases.
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