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Research on Real-Time High Reliable Network File Distribution Technology

Chenglong Li1, Peipeng Liu1, Hewei Yu1, *, Mengmeng Ge2, Xiangzhan Yu2, Yi Xin2, Yuhang Wang3, Dongyu Zhang4

1 Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, 100029, China.
2 School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, China.
3 Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, 510006, China.
4 Faculty of Business and Economics, University of Hong Kong, 999077, Hong Kong.

* Corresponding Author: Hewei Yu. Email: email.

Computers, Materials & Continua 2020, 65(2), 1739-1752. https://doi.org/10.32604/cmc.2020.09019

Abstract

The rapid development of Internet of Things (IoT) technology has made previously unavailable data available, and applications can take advantage of device data for people to visualize, explore, and build complex analyses. As the size of the network and the number of network users continue to increase, network requests tend to aggregate on a small number of network resources, which results in uneven load on network requests. Real-time, highly reliable network file distribution technology is of great importance in the Internet of Things. This paper studies real-time and highly reliable file distribution technology for large-scale networks. In response to this topic, this paper studies the current file distribution technology, proposes a file distribution model, and proposes a corresponding load balancing method based on the file distribution model. Experiments show that the system has achieved real-time and high reliability of network transmission.

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Cite This Article

C. Li, P. Liu, H. Yu, M. Ge, X. Yu et al., "Research on real-time high reliable network file distribution technology," Computers, Materials & Continua, vol. 65, no.2, pp. 1739–1752, 2020.



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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