In Search of the Future Technologies: Fusion of Machine Learning, Fog and Edge Computing in the Internet of Things

被引:1
|
作者
Naveen, Soumyalatha [1 ]
Kounte, Manjunath R. [2 ]
机构
[1] REVA Univ, Sch Comp & IT, Bengaluru, India
[2] REVA Univ, Sch Elect & Commun, Bengaluru, India
关键词
Cloud computing; Convolution neural network; Deep learning; Edge computing; Fog computing; IoT; Long Short-Term Memory; Machine learning; Recurrent neural networks; DEEP; ANALYTICS; IOT;
D O I
10.1007/978-3-030-24643-3_33
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the rapid growth of smart devices connected to the internet, the paradigm Internet of Things (IoT) is used in plenty of applications. This led to the emergence of different computing paradigm such as Cloud computing, Fog computing, Edge Computing using artificial intelligence model such as machine learning to analyze and to get some valuable information and to predict the future from the raw data. This paper provides details about computing paradigm, applications, and its advantages and limitations. This paper also brings different kinds of important neural networks and its usability for distinct inputs such as images, audio, video etc. We envision this paper helps for student researcher for understanding the IoT, computing paradigms and artificial neural networks, to work further in these emerging domains.
引用
收藏
页码:278 / 285
页数:8
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