Mobile Edge Computing Application in English Teaching Classroom Evaluation System Based on BPSO Algorithm

Abstract

This paper proposes a multi-user and multi-MEC scenario based on mobile edge computing to maximize the overall revenue to complete the task and proposes business guarantee and resource constraints as conditions to form the optimal task offloading resource allocation problem based on the Lyapunov mobile edge computing theory. Because this problem is NP-hard problem, decoupling is proposed as a solution to the channel resource allocation problem, which is solved by the KKT task allocation condition and the 0-1 integer programming problem. Aiming at the high-speed mobile terminal scene, a high-speed unloading algorithm is proposed, which explains the task unloading system model in the high-speed mobile terminal scene. The task offloading algorithm first allocates several subtasks according to the number of MEC servers and the remaining available resources of the MEC servers. At the same time, taking campus as an example, the English teaching classroom evaluation application uses the big data evaluation scale to complete the evaluation and uses statistical software to test the reliability of the evaluation results. Based on the analysis results, it summarizes and reflects on the education evaluation index system and puts forward suggestions for improving the evaluation system and implementing the English education guarantee mechanism. This paper uses the research of mobile edge computing resources to allocate big data and applies it to the application of English teaching classroom evaluation, thereby promoting the rapid development of classroom teaching.