Optimization Strategy of Online Teaching Management Mode Based on Cloud Computing
DOI: 10.23977/curtm.2022.050812 | Downloads: 12 | Views: 391
Zongtao Zhao 1,2
1 School of Electronic and Information Engineering, Xi'an Siyuan University, Xi'an, Shaanxi, 710038, China
2 University of Perpetual Help System DALTA, Philippines
Corresponding AuthorZongtao Zhao
Cloud computing provides users with services through on-demand allocation, and hardware configuration is also virtual allocation, which reduces teaching costs. The virtualization of university teaching server can make the operating system no longer directly installed on the hardware, and improve the management efficiency of teaching management projects. This paper aims to study optimization strategies for cloud-based online teaching management functions. College teaching is the most basic and important content. Starting from the information teaching in the cloud computing environment, this paper proposes a teaching management method based on the online cloud based on the actual situation of colleges and universities, constructs a strategic optimization system, and puts forward the operation requirements, computer design and online learning of cloud colleges and universities. Requirements that must be met by the management system. After analysis, the overall design framework of the online learning management system is constructed, and the basic functions of each module in the online learning management system are finally realized. The quantified resources are fuzzed by the equal rate method, and the computing resource performance of the cloud platform service sub-nodes is collected regularly. The experimental results show that the FCRP algorithm in this paper has certain advantages in allocating cloud service sub-nodes.
KEYWORDSCloud Computing Technology, Online Teaching, Management Mode, Optimization Strategy
CITE THIS PAPER
Zongtao Zhao, Optimization Strategy of Online Teaching Management Mode Based on Cloud Computing. Curriculum and Teaching Methodology (2022) Vol. 5: 75-81. DOI: http://dx.doi.org/10.23977/curtm.2022.050812.
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