Implementation of fog computing for data pre-processing in an IoT and cloud computing scenario

Paúl A. Montesdeoca-Mendez, Pablo L. Gallegos-Segovia, Gabriel A. León-Paredes, P. E. Vintimilla-Tapia, J. Bravo-Torres, Víctor M. Larios-Rosillo
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引用次数: 2

Abstract

Currently, Internet of Things (IoT) is a technological paradigm that is based on the collection of environmental data on a multitude of parameters (climatic, industrial, human, among others) through everyday objects to send it to higher instances such as data centers or cloud computing services, where it is processed and stored. Under this concept, despite the benefits of equipping any device with exceptional capacities, significant congestion is generated in the network as a result of an increasing number of connections. Consequently, fog computing emerges as a valid solution, since by performing local data pre-processing, the transmitted load is reduced. In addition, it grants the possibility of implementing adequate security measures, ensuring the veracity of the information. This research proposes the design of an IoT system for measuring environmental variables, consisting on a WSN, fog computing and cloud computing, which deploys end-to-end encryption techniques. Different tests are carried out, using the concept of living labs, reflected in a Web application that contemplates measurements of three indicators: carbon dioxide levels, polluting particles and environmental noise.
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在物联网和云计算场景中实现雾计算数据预处理
目前,物联网(IoT)是一种技术范式,它基于通过日常物品收集多种参数(气候、工业、人类等)的环境数据,并将其发送到数据中心或云计算服务等更高的实例,在那里对其进行处理和存储。在这个概念下,尽管为任何设备配备特殊容量都有好处,但由于连接数量的增加,网络中会产生严重的拥塞。因此,雾计算作为一种有效的解决方案出现,因为通过执行本地数据预处理,减少了传输负载。此外,它还使执行适当的安全措施成为可能,从而确保信息的真实性。本研究提出了一种用于测量环境变量的物联网系统的设计,该系统由WSN、雾计算和云计算组成,并部署了端到端加密技术。使用生活实验室的概念进行了不同的测试,反映在一个Web应用程序中,该应用程序考虑测量三个指标:二氧化碳水平、污染颗粒和环境噪声。
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