Fog computing is becoming a popular paradigm for bringing the advantages of the cloud nearer to the network edge. This way, computational tasks can be offloaded from end devices to nearby fog nodes, thus benefiting from high computational power and low latency at the same time. Architecture plays a central role in fog computing. Many papers on fog computing address architectural questions. However, a closer look reveals that different papers use the term “architecture” for very different concepts. This is rooted in the multi-disciplinary nature of the fog computing paradigm. The different communities involved in fog computing—network, hardware, system software, application software—all use the term “architecture,” but with different meaning. To facilitate the mutual understanding of architectural issues in fog computing, this paper introduces a conceptual framework for reasoning about architecture in fog computing. This conceptual framework uses three independent dimensions to describe architecture. Based on the three architecture dimensions, several architecture views can be defined to serve the different viewpoints of the involved disciplines, and to highlight different aspects of the architecture. The conceptual framework is validated using a literature mapping study.

中文翻译：

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雾计算中的架构概念

雾计算正在成为将云的优势带到更接近网络边缘的流行范式。这样，计算任务可以从终端设备卸载到附近的雾节点，从而同时受益于高计算能力和低延迟。架构在雾计算中起着核心作用。许多关于雾计算的论文都解决了架构问题。然而，仔细观察就会发现，不同的论文使用“架构”一词来表示非常不同的概念。这植根于雾计算范式的多学科性质。雾计算涉及的不同社区——网络、硬件、系统软件、应用软件——都使用“架构”这个术语，但具有不同的含义。为了促进雾计算中架构问题的相互理解，本文介绍了一个概念框架，用于推理雾计算中的架构。这个概念框架使用三个独立的维度来描述架构。基于三个架构维度，可以定义多个架构视图来服务于相关学科的不同观点，并突出架构的不同方面。使用文献映射研究验证概念框架。