Demystifying the use of Machine Learning in Fog Computing

Revika Anand, Mitali Jain, Naina Yadav, Bhawna Narwal, Arunima Jaiswal
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Abstract

The concept of cloud computing was a major milestone in technology development and brought along a lot of new concepts and ideas. However, cloud computing also introduced certain challenges and problems like an increase in computation cost, high latency, etc. To counter these issues, the notion of fog computing came along. It presented a new decentralized architecture and the idea of a fog layer. Even though fog computing solves the shortcomings of cloud computing, it harbors its own challenges. We have discussed the employment of ML for overcoming the limitations of Fog-based networks.
揭开机器学习在雾计算中的应用面纱
云计算的概念是技术发展的一个重要里程碑,它带来了许多新的概念和想法。然而,云计算也带来了一些挑战和问题,如计算成本的增加、高延迟等。为了解决这些问题,雾计算的概念出现了。它提出了一种新的去中心化架构和雾层的概念。尽管雾计算解决了云计算的缺点,但它也有自己的挑战。我们已经讨论了使用ML来克服基于雾的网络的局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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