建设支持大数据的智慧城市基础设施

Eliza Gomes, M. Dantas, D. D. J. D. Macedo, Carlos Roberto de Rolt, Marcelo Luiz Brocardo, L. Foschini
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引用次数: 19

摘要

近年来,以智慧城市为重点的项目越来越多。因此,在这些活动中产生的大量数据在如何管理所有这些信息方面产生了一定程度的复杂性。在本文中,我们提出了一个智慧城市项目的大数据基础设施模型。该模型的目标是描述数据在提取、存储、处理和可视化步骤中的处理阶段,以及每个阶段所需的工具类型。为了实现我们提出的模型,我们使用了参与ACT巴西项目,这是一个基于智能城市的项目。该项目使用不同的数据库组成其大数据,并利用这些数据寻求城市问题的解决方案。我们观察到,我们的模型为ParticipACT巴西公司的大数据服务器提供了一个结构化的软件愿景。此外,我们还可以注意到,我们的模型可以用于其他大数据服务器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards an Infrastructure to Support Big Data for a Smart City Project
The spread of projects focused on smart cities have grown in recent years. With this, the massive amount of data generated in these initiatives, creates a degree of complexity in how to manage all this information. In this paper we propose an infrastructure model for big data for a smart city projet. The goal of this model is to present the stages for the processing of data in the step of extraction, storage, processing and visualization, as well as the types of tools needed for each phase. To implement our proposed model, we used the Particip ACT Brazil a project based in smart cities. This project uses different databases to compose its big data and uses this data to seek solutions to urban problems. We observe that our model provides a structured vision of the software to be used in big data server of ParticipACT Brazil. In addition, we can also note that our model can be used in other big data servers.
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