@Article{cmc.2020.09019,
AUTHOR = {Chenglong Li, Peipeng Liu, Hewei Yu, Mengmeng Ge, Xiangzhan Yu, Yi Xin, Yuhang Wang, Dongyu Zhang},
TITLE = {Research on Real-Time High Reliable Network File Distribution  Technology},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {65},
YEAR = {2020},
NUMBER = {2},
PAGES = {1739--1752},
URL = {http://www.techscience.com/cmc/v65n2/39903},
ISSN = {1546-2226},
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.},
DOI = {10.32604/cmc.2020.09019}
}