增加物联网的普遍性:雾计算与公共&sub和安全性相结合

S. Sicari, A. Rizzardi, A. Coen-Porisini
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引用次数: 2

摘要

人们越来越被一个连接的世界所包围,在那里他们可以随时随地通过各种设备收集和分享信息,属于所谓的物联网(IoT)网络。从日常生活到商业活动,物联网技术和应用正在不同的场景中传播。大量数据的存在,通过网络不断传输,带来了可扩展性方面的相关问题。因此,为了有效地管理信息,必须建立适当的网络基础设施。中间件层可能是克服此类问题和处理互操作性的潜在解决方案。在过去的几年里,文献中提出了许多架构,但很少有人关注如何尽可能地分散网络的所有组件和任务,以覆盖更广泛的区域,避免单点故障,同时保证效率。此外,还没有充分考虑到不同利益相关者的利益。从这个意义上说,雾计算代表了一种可行的方法,本文采用了这种方法来实现高度分布式和具有安全意识的物联网中间件,其目的是在不需要中央协调单元的情况下运行,并允许多个利益相关者参与同一物联网基础设施。提出的解决方案利用了MQTT协议提供的功能,除了架构特性之外,还通过一个简单而真实的测试平台评估了它在计算工作量和延迟方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Increasing the pervasiveness of the IoT: fog computing coupled with pub&sub and security
People are increasingly surrounded by a connected world, where they can gather and share information everywhere, at anytime, and by means of a variety of devices, belonging to the so-called Internet of Things (IoT) network. IoT technologies and applications are spreading in different scenarios, ranging from every-day life activities to business ones. The presence of a huge amount of data, continuously transmitted over the network, brings relevant issues in terms of scalability. Hence, a proper network infrastructure must be put in action, in order to efficiently manage the information. A middleware layer could be a potential solution for overcoming such an issue, and to cope with interoperability. In literature, many architectures have been proposed in the last years, but little attention has been paid to how to decentralize as much as possible all the network’s components and tasks, in order to cover a wider area, avoiding single points of failure, while guaranteeing efficiency. Moreover, the interest of different stakeholders is not adequately considered yet. In this sense, fog computing represents a viable approach, which is adopted in this paper for the realization of a highly distributed and security-aware IoT middleware, aimed at operating without the need of a central coordinating unit and at allowing the participation of multiple stakeholders in the same IoT infrastructure. The proposed solution exploits the functionalities provided by the MQTT protocol, and its potentialities, besides the architectural features, are evaluated by means of a simple yet real test-bed, in terms of computing effort and latency.
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