Abstract
At present, with the in-depth development of quality education, schools and education departments at all levels pay more and more attention to humanistic education. With the continuous development of new information technology, the third-party cloud platform service model has become the main way to solve information technology problems in various fields. Since entering the new century, the information technology and computer industries have developed rapidly. Cloud computing can provide a universal and efficient computing platform and storage space. It is an efficient data computing solution in the era of big data, which can save considerable costs. Educational resource information is also growing rapidly on the Internet. At present, more and more cloud platforms developed based on cloud computing technology are used in all walks of life. The research on the cloud platform is conducive to improving the utilization rate of the existing hardware equipment of the humanities education online management system, and is conducive to improving the level of teaching software deployment. This article adopts experimental analysis method and data analysis method, intending to build an online management system for humanities education with the help of cloud platform, so as to explore a new teaching model for humanities education. According to the experimental results, the response time of the system increases with the increase in the number of visitors, and the server utilization rate is also rising. The system for this experiment basically meets the requirements, but still needs to be further improved and optimized.
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Acknowledgement
Li Zhongxin presided over the hubei Province education science planning project “the current situation and strategy of humanistic education in Higher Vocational Colleges”, conclusion number: 2017JKG320.
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Li, Z., Cai, J. (2022). Construction of Humanities Education Online Management System Based on Cloud Platform. In: Xu, Z., Alrabaee, S., Loyola-González, O., Zhang, X., Cahyani, N.D.W., Ab Rahman, N.H. (eds) Cyber Security Intelligence and Analytics. CSIA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 125. Springer, Cham. https://doi.org/10.1007/978-3-030-97874-7_63
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DOI: https://doi.org/10.1007/978-3-030-97874-7_63
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