JOURNAL ARTICLE

Cloud-Edge-Device Integration Based On Edge Computing

Abstract

With the arrival of the Internet of Everything era, the traditional network architecture is evolving in the cloud and the deep integration of IT technology and OT technology drives the development of industry intelligence, which leads to the development of edge computing. However, edge computing is faced with many problems, such as serious heterogeneity, large scale, complex environment, and inconsistent standards [1]. To solve these problems, cloud, edge and device integration architecture based on edge computing is developed. Starting from the shortcomings of cloud computing and the characteristics of edge computing, this paper first introduces the meaning of Cloud-Edge-Device integration. Secondly, introduces the three mainstream edge computing architectures, and analyzes their features. Then, this paper introduces a reasonable design framework for cloud-edge-device integration and puts forward the current innovation practice scenario of this integration model. Finally summarizes the development prospects and challenges of Cloud-Edge-Device integration.

Keywords:
Cloud computing Enhanced Data Rates for GSM Evolution Computer science Edge computing Edge device Distributed computing Architecture Cloud testing The Internet Data science Computer architecture Cloud computing security Telecommunications Operating system

Metrics

1
Cited By
0.21
FWCI (Field Weighted Citation Impact)
5
Refs
0.52
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems
Robotics and Automated Systems
Physical Sciences →  Engineering →  Control and Systems Engineering

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