EDGE4ALL—智慧城市的边缘平台

Q4 Mathematics
R. Martins, Henrique Santos, João Rebelo, Luís C. S. Ferreira
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引用次数: 1

摘要

随着信息和通信技术(ICT)的发展,从第一台房间大小的计算机到现在手指大小的处理器,每个人的设备数量都在不可控制地增加,每一次都更强大,以及大量接入互联网。总之,这一技术运动带来了一种被称为物联网(IoT)的新范式,它正在迅速影响生活的几乎所有方面,在复杂(ICT)基础设施的支持下,其安全性和安全性需要仔细处理。虽然在第一次观察中,云架构显示自己能够处理需求,但目前这种假设不再成立。资源有限的设备的指数级增长利用了云的一些限制,即带宽的缺乏。这是因为,从设计上讲,它的架构是用来处理由类似计算机的终端产生的高级数据。自从引入物联网范式以来,数十亿设备不断上传最小的日志,因此需要引入一种新的中间件(在边缘),能够收集所有基本信息,生成适合云的高级信息。该项目旨在设计这样一个边缘,具有支持智慧城市或类似环境的特定要求。遵循通用的边缘计算范式,架构Edge4All目前旨在:接受和处理不同的设备安全级别;动态处理信息并通过API提供;保留历史数据,为大数据/机器学习提供合适的信息源;提供安全管理部署设备的平台;并设计一个动态和直观的仪表板,显示信息,警告和警报信息,旨在让普通用户了解情况,并为相关决策者提供有效的决策工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EDGE4ALL - Edge Platform For Smart City
Following the story line of Information and Communication Technologies (ICT), since the first room sized computer to the nowadays finger sized processors, there is an uncontrollable increase of the number of devices per person, each time more powerful, as well as a massive access to the Internet. Altogether, this technological movement brought a new paradigm referred to as IoT (Internet of Things), that is quickly affecting almost all dimensions of life, supported on complex (ICT) infrastructures whose safety and security properties need to be addressed carefully. Although in a first look the Cloud architecture showed itself able to handle the requirements, currently this assumption is no longer true. The exponential growth of devices with limited resources exploited some limitations of the Cloud, namely the lack of bandwidth. This happened because, by design, it was architected to deal with high-level data produced by computer-like terminals. Since the introduction of the IoT paradigm, where billions of devises are continuously uploading minimal logs, there was a need to introduce a new middle-ware (at the edge), capable of gathering all elementary information, producing high-level information adequate to the Cloud. This project aimed to design such an edge, with specific requirements to support Smart Cities or similar environments. Following the generic Edge Computing paradigm, the architecture Edge4All currently aims to: accept and deal with different devices security levels; dynamically process the information and provide it through an API; keep historical data to provide a proper big data/machine learning information source; offer a platform to securely manage the deployed devices; and design a dynamic and intuitive dashboard displaying the information, warnings and alert messages, aiming to keep both the regular user well informed and offer an efficient decision-making tool, to related decision makers.
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来源期刊
Journal of Computational Technologies
Journal of Computational Technologies Mathematics-Applied Mathematics
CiteScore
0.60
自引率
0.00%
发文量
37
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