Understanding Edge Computing: Engineering Evolution With Artificial Intelligence | Zendy

JunHo Huh | Zendy; YeongSeok Seo | Zendy

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Understanding Edge Computing: Engineering Evolution With Artificial Intelligence

Author(s) -

JunHo Huh,

YeongSeok Seo

Publication year - 2019

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2019.2945338

Subject(s) - computer science , edge computing , cloud computing , big data , key (lock) , enhanced data rates for gsm evolution , data science , artificial intelligence , applications of artificial intelligence , the internet , computer security , data mining , world wide web , operating system

The key to the explosion of the Internet of Things and the ability to collect, analyze, and provide big data in the cloud is edge computing, which is a new computing paradigm in which data is processed from edges. Edge Computing has been attracting attention as one of the top 10 strategic technology trends in the past two years and has innovative potential. It provides shorter response times, lower bandwidth costs, and more robust data safety and privacy protection than cloud computing. In particular, artificial intelligence technologies are rapidly incorporating edge computing. In this paper, we introduce the concepts, backgrounds, and pros and cons of edge computing, explain how it operates and its structure hierarchically with artificial intelligence concepts, list examples of its applications in various fields, and finally suggest some improvements and discuss the challenges of its application in three representative technological fields. We intend to clarify various analyses and opinions regarding edge computing and artificial intelligence.

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