IJSEA Volume 12 Issue 5

Intelligent System Optimization of course Network Teaching Based on Distributed Cloud IaaS System

Lan Ming
10.7753/IJSEA1205.1003
keywords : Intelligent System Optimization, Course Network Teaching, Distributed Cloud IaaS System

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This paper aims to design and implement a general IaaS cloud platform resource pool network management system to meet the management requirements of network resources in private cloud construction, using Nginx as the web server, uWSGI application server and Tornado application server to process users The non-real-time data and real-time data request of . The article analyzes the problems faced by local colleges and universities in the information big data environment by interpreting the connotation of future education and combining the experience of online course construction reform. Learning course-driven" is the foothold. It intelligently analyzes students' mastery of knowledge and teachers' teaching evaluation, and gives teachers important feedback information, so that teachers can adjust teaching strategies in a timely manner, so that students can master knowledge at a deeper level.
@artical{l1252023ijsea12051003,
Title = "Intelligent System Optimization of course Network Teaching Based on Distributed Cloud IaaS System",
Journal ="International Journal of Science and Engineering Applications (IJSEA)",
Volume = "12",
Issue ="5",
Pages ="10 - 12",
Year = "2023",
Authors ="Lan Ming"}