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Cloud, Fog, and Edge Computing: A Software Engineering Perspective

机译:云,雾和边缘计算:软件工程的观点

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Cloud, Fog, and Edge Computing paradigms have been introduced for data-driven organizations in order to facilitate data computation and processing in an easier manner. Considering that there has been a huge increase in the amount of data produced over the past couple of years, and it is expected that the amount of data produced will exponentially grow, recent research has focused on utilizing these paradigms in order to satisfy the growing demand of fast computation and data storage. In order to recognize the most suitable use for these models, this paper will evaluate the three computing paradigms: cloud computing, fog computing, and edge computing in terms of their architectures. Furthermore, a comparative analysis of the non-functional requirements is conducted and used to propose the use of each paradigm in real-life applications.
机译:为数据驱动的组织引入了云,雾和边缘计算范式,以便以更简单的方式促进数据计算和处理。考虑到过去几年中产生的数据量已大大增加,并且预计产生的数据量将成倍增长,因此最近的研究集中在利用这些范式以满足不断增长的需求快速的计算和数据存储。为了识别最适合这些模型的用途,本文将根据其架构评估三种计算范例:云计算,雾计算和边缘计算。此外,对非功能性需求进行了比较分析,并被用来建议在实际应用中使用每个范例。

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