Design of English Education Resource Sharing Model Based on Improved Ant Colony Optimization

The purpose of resource sharing is to improve resource utilization and reduce redundant construction of resources. It concentrates the resource information and its external related information in one center, and processes and distributes requests and resources in a unified way. In the English education resource sharing model studied in this paper, resource browsing is the most important function. How to ensure the quick and accurate display of resources that each user wants to browse, the classification of resources plays an important role. Through the development of cloud computing software based on Hadoop platform, the optimal sharing state of English education resources in different regions and different needs can be realized. It will be more convenient for learners to acquire knowledge. The file entity storage environment of the English education resource sharing model is Hadoop cluster, and users’ requests are distributed to appropriate storage servers according to the processing of proxy servers. The load factor is used to improve the heuristic function in traditional ACO (ant colony optimization), so that more heavily loaded virtual machines can perform fewer tasks. The experimental results show that the load rate of the improved ACO in the whole cloud computing center is basically between 0.416 and 0.528, and the load of the cloud computing center is always in a balanced state.