Abstract
With the development of technology, the bandwidth of public networks continues to increase, and the means of information exchange is constantly enriched. Especially the impact of COVID-19, distance education has gradually become popular, and many problems have also been exposed. The fact that the current distance education users are widely dispersed, the number of users is increasing, the network development is unbalanced, and the access methods are diverse, this paper designs a distance education system suitable for edge network environments. The system uses a B/S architecture, uses cloud computing technology to build a data center, and uses edge computing to build edge servers, enabling educational resources to move forward to users, reducing network latency, shortening response time, and improving user experience. This article outlines the system’s architecture, the composition of the functional modules of each part, the working method, the core technology adopted, and the expected effect.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ma, J., Liu, C., Lin, S.J.: Research on mobile edge cache technology supporting mobile big data. Commun. Technol. 52(06), 1379–1384 (2019)
Zeydan, E., Bastug, E., Bennis, M., et al.: Big data caching for networking: moving from cloud to edge. IEEE Commun. Mag. 54(9), 36–42 (2016)
Gong, C., Liu, J., Zhang, Q., et al.: The characteristics of cloud computing. In: Parallel Processing Workshops (ICPPW) 2010 39th International Conference on IEEE, pp. 275–279 (2010)
Fu, Y.Q., Li, D.S.: Application-driven network delay measurement and optimization technology in edge computing environment. J. Comput. Res. Dev. 55(3), 512–523 (2018)
Piao, L.: Easy to Understand NodeJS, pp. 22–55. Posts and Telecommunications Press, Beijing (2013)
Buyya, R., Broberg, J., Goscinski, A.M., (eds.): Cloud Computing: Principles and Prardigms. Wiley, Hoboken (2010)
Durao, F., Carvalho, J.F.S., Fonseka, A., et al.: A systematic review on cloud computing. arXiv preprint arXiv:1609.01967 (2016)
Zhang, H.Y.: Research on intelligent awareness in information and communication engineering. BUPT School of Information and Communication Engineering, Beijing (2018)
Wang, L.J., Shen, J.: Data-intensive service provision based on partical swarm optimization. Int. J. ComPut. Intell. Syst. 2(1), 330–339 (2018)
Zhang, J., Chen, B., Zhao, Y., et al.: Data security and privacy-preserving in edge computing paradigm: survey and open issues. IEEE Access 6, 18209–18237 (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Pei, W., Li, J., Li, B., Zhao, R. (2021). Distance Learning System Design in Edge Network. In: Liu, Q., Liu, X., Shen, T., Qiu, X. (eds) The 10th International Conference on Computer Engineering and Networks. CENet 2020. Advances in Intelligent Systems and Computing, vol 1274. Springer, Singapore. https://doi.org/10.1007/978-981-15-8462-6_148
Download citation
DOI: https://doi.org/10.1007/978-981-15-8462-6_148
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-8461-9
Online ISBN: 978-981-15-8462-6
eBook Packages: EngineeringEngineering (R0)