Fog Horizons -- A Theoretical Concept to Enable Dynamic Fog Architectures

Dominic Henze, Paul Schmiedmayer, B. Brügge
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引用次数: 2

Abstract

With the Internet of Things, more and more devices, and therefore data, need to be handled by current architectures. The flood of provided information leads to bottlenecks within regular client-server architectures. In order to address this challenge and to enable new applications, fog computing is a promising architectural style which pushes the data and device handling closer to the edge. Thus, systems are getting more decentralized and -- with the inclusion of devices with constantly changing positions such as cars, drones and smartphones -- more dynamic. To address the corresponding challenges, we defined four concepts for dynamic Fog Architectures: Fog Visibility, Fog Horizon, Fog Reachability, and finally, a redefinition of the Fog Architecture, based on the previous concepts. These concepts support a common understanding of the constantly changing sets of components these fog environments have to deal with. In addition to the common understanding, the concepts are also helpful to set up architectures, discover communication partners as well as setting scopes. We provide mathematical definitions for each concept and give examples. In the case study, we applied these concepts in four applications from different domains to show the applicability and generalizability.
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雾地平线——一个实现动态雾架构的理论概念
随着物联网的发展,越来越多的设备和数据需要由当前的架构来处理。大量提供的信息导致常规客户机-服务器体系结构出现瓶颈。为了应对这一挑战并启用新的应用程序,雾计算是一种很有前途的架构风格,它将数据和设备处理推向了边缘。因此,随着汽车、无人机和智能手机等位置不断变化的设备的加入,系统变得更加分散,更加动态。为了解决相应的挑战,我们为动态雾架构定义了四个概念:雾可视性、雾地平线、雾可达性,最后,基于前面的概念对雾架构进行了重新定义。这些概念支持对这些雾环境必须处理的不断变化的组件集的共同理解。除了共同的理解之外,这些概念还有助于建立架构,发现通信伙伴以及设置范围。我们为每个概念提供数学定义并给出示例。在案例研究中,我们将这些概念应用于来自不同领域的四个应用中,以显示其适用性和通用性。
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