The Construction and Implementation of Wireless Network Online Learning System Based on Edge Computing

Authors

  • Jingmin Yang Minnan Normal University http://orcid.org/0000-0001-6467-7545
  • Trong-Yen Lee Department of Electronic Engineering, National Taipei University of Technology
  • Wen-Ta Lee Department of Electronic Engineering, National Taipei University of Technology
  • Li Xu College of Computer and Cyber Security, Fujian Normal University, Fuzhou, China

DOI:

https://doi.org/10.3991/ijet.v17i21.33029

Keywords:

edge computing, network device virtualization, virtual network device, wireless network physical teaching system

Abstract


The traditional wireless network laboratory constructed with physical equipment prompts two obvious problems: high hardware investment and long experiment deployment time.  To address these issues, this study proposed a novel Wireless Network Physical Teaching System (WNPTS) based on Edge Computing (EC). Firstly, the isolation design of in-band and out-band network avoids the interference between management data and experimental data. Secondly, this study designed a unified experimental resource description method based on XML format, which is parsed and executed by parser and topology switcher to realize the rapid deployment of the experimental environment. In the edge computing layer, multiple Virtual Network Devices (VNDs) were implemented on one physical network device through the following mechanisms: in the process space, each virtual device used an independent working directory and files to build an application software cluster dedicated to each VND. In physical space, this study designed a novel fast-forwarding mechanism, which takes each switch engine chip as one allocation unit and maps the forwarding table in the kernel space to realize the fast data forwarding for each VND. Statistical analysis shows that, compared with traditional approach, WNPTS reduced the total fixed investment cost by 30.25%, shortened the Average Deployment Time of Experimental Environment (ADTEE) from 18.3 minutes to 2.75 minutes, and improved the Timely Completion Rate of Experiments (TCRE) from 59% to 70%.

Author Biographies

Jingmin Yang, Minnan Normal University

school of computer science and engineering associate-professor senior engineer

Trong-Yen Lee, Department of Electronic Engineering, National Taipei University of Technology

Trong-Yen Lee received his Ph.D. degree in Electrical Engineering from National Taiwan University, Taipei, China, in 2001. Since 2002, he has been a member of the faculty in the Department of Electronic Engineering, National Taipei University of Technology, where he is currently a professor. His research interests include hardware-software co-design of embedded systems, FPGA systems design, and VLSI design.

Wen-Ta Lee, Department of Electronic Engineering, National Taipei University of Technology

Wen-Ta Lee received his Ph.D. degree in Electrical Engineering from National Taiwan University, Taipei, Taiwan, in 1995. Since 1997, he has been a member of the faculty in the Department of Electronic Engineering, National Taipei University of Technology, where he is currently an associate professor. His research interests include IC design, and VLSI circuit design.

Li Xu, College of Computer and Cyber Security, Fujian Normal University, Fuzhou, China

Xu Li received the Ph.D. degree in applied mathematics from the Nanjing University of Posts and Telecommunications (NJUPT), Nanjing, China, in 2004. Since 1992, he has been a member of the faculty in the College of Computer and Cyber Security, Fujian Normal University, Fuzhou, China, where he is currently a professor and the president of the college. He is also the director of the Fujian Provincial Key Laboratory of Network Security and Cryptology, Fuzhou, China. His research interests include network and information security, Internet of things and wireless network communication.

Cover iJET Vol. 17 No. 21 (2022)

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Published

2022-11-15

How to Cite

Yang, J., Lee, T.-Y., Lee, W.-T., & Xu, L. (2022). The Construction and Implementation of Wireless Network Online Learning System Based on Edge Computing. International Journal of Emerging Technologies in Learning (iJET), 17(21), pp. 275–295. https://doi.org/10.3991/ijet.v17i21.33029

Issue

Vol. 17 No. 21 (2022)

Section

Papers

License

Copyright (c) 2022 Jingmin Yang, Dr. Prof. Trong-Yen Lee, Dr. A.P. Wen-Ta Lee, Dr.Prof. Li Xu

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.