Construction of cohesion model of college English teaching under Cloud Computing environment

Abstract

Abstract In order to improve the cohesion and quality of college English teaching, a model of college English teaching cohesion under the interactive network environment of cloud computing database server is constructed. In this paper, we propose an interactive network platform for college English teaching based on cloud computing multimedia fusion database server. In the interactive network environment of cloud computing database server, the big data analysis model of college English teaching fusion multimedia information is constructed, and combined with the big data mining method, the multimedia information fusion and feature clustering processing of college English teaching fusion are carried out in the interactive network environment of cloud computing database server. Using the heterogeneous directed graph fusion clustering method, this paper designs the optimal storage structure of college English teaching integration multimedia information under the cloud computing database server interactive network environment, and extracts the semantic ontology features of college English teaching integration multimedia information under the cloud computing database server interactive network environment. Through feature optimization retrieval, the design of college English teaching fusion platform and multimedia information fusion under the interactive network environment of cloud computing database server are realized. Through the multimedia information fusion method of college English teaching fusion under the interactive network environment of cloud computing database server, differential scheduling is carried out to improve the ability of college English teaching integration and multimedia information fusion under the interactive network environment of cloud computing database server. The simulation results show that the designed college English teaching interface platform has a high degree of information fusion and a strong ability of resource allocation under the interactive network environment of cloud computing database server.