Construction of a Network Security Platform for Chinese Online Education Based on Ant Colony Algorithm

Abstract

In order to improve the quality of Chinese language and literature online teaching, this paper combines cloud computing and ant colony algorithm to build a Chinese language and literature online teaching platform. By analyzing the advantages and disadvantages of PSO algorithm and ACO algorithm, this paper proposes a PSACO2 algorithm that combines the advantages of both. In order to use ant colony algorithm to schedule cloud computing tasks, it is necessary to abstract all resource nodes into a directed complete graph. In addition, on the basis of the improved algorithm, a Chinese language and literature online platform based on cloud computing and ant colony algorithm is constructed. Through the experimental research, it can be seen that the Chinese language and literature online platform based on cloud computing and ant colony algorithm proposed in this paper can effectively improve the online teaching effect of Chinese language and literature.