Abstract
In order to solve the problems of low utilization rate of Big data resources and high cost of resource allocation in animation design intelligent education system, a method of Big data resource allocation in animation design intelligent education system based on Ant colony optimization algorithms was proposed. In this study, the big data resource allocation is formally described. The goal of maximizing resource utilization and the goal of minimizing the cost of big data resource allocation are combined to form a multi-objective allocation model of big data resources. Using genetic algorithm to improve ant colony algorithm and solve the multi-objective allocation model of big data resources, the optimal solution of big data resource allocation of animation design intelligent education system is obtained. The results show that the big data resource utilization rate of the allocation method studied is relatively higher and the allocation cost is relatively lower, which indicates that the allocation method studied by the Institute has better allocation capability.
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© 2024 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Wang, N., Cui, M. (2024). Big Data Resource Allocation of Animation Design Intelligent Education System Based on Ant Colony Algorithm. 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 545. Springer, Cham. https://doi.org/10.1007/978-3-031-51471-5_12
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DOI: https://doi.org/10.1007/978-3-031-51471-5_12
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