Abstract
Under the background of Sunshine Sports, students can carry out more abundant sports, while the amount of online teaching resources is limited. Therefore, under the background of Sunshine Sports, research the allocation method of sports online video teaching resources. Use Analytic Hierarchy Process to analyze the reasons for imbalanced resource allocation, and provide a constraint range for resource allocation requirements. Build a cloud resource allocation model to maximize the Utility maximization problem of resource allocation. Calculate the proportion of each dimension of resources in each resource processing node’s total resources, as well as the ratio and dynamic weight between the allocated resources in each dimension of the resource processing node and all allocated resources in its nodes, to achieve balanced allocation of sports online video teaching resources. According to the experimental results, the maximum resource loss rates of the three groups of users in this method are 1.0%, 1.3%, and 2.0%, respectively, which are consistent with the actual resource loss rate. The resource allocation is balanced and can achieve the ideal allocation effect.
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Acknowledgement
2022 Guangdong Provincial Science and Technology Innovation Strategy Special Fund Project Approval: Investigation and Research on the Current Situation of Physical Education in Guangdong Province’s Aid to Tibet Schools from the Perspective of “Sunshine Sports” (Project number:pdjh2022a0898).
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Chen, C., Zhang, J., Xie, Y. (2024). Distribution of Sports Online Video Teaching Resources Under the Background of Sunshine Sports. In: Gui, G., Li, Y., Lin, Y. (eds) e-Learning, e-Education, and Online Training. eLEOT 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 546. Springer, Cham. https://doi.org/10.1007/978-3-031-51503-3_5
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DOI: https://doi.org/10.1007/978-3-031-51503-3_5
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