A Method of Ideological and Political Teaching Resource Accuracy Scheduling and Control Based on MVC Framework

Abstract

The currently used resource scheduling methods are sorted according to the priority of demand objects, resulting in large computing load, long response delay, low load balance and waste of computing resources on some nodes. Aiming at the above problems, this paper proposes a method of scheduling and controlling ideological and political teaching resources based on MVC framework. After building the MVC framework of Ideological and political teaching resource scheduling, the controller is used to collect the teaching resource scheduling information under the framework. After the establishment of the ideological and political resources scheduling model, the Q-learning algorithm combined with the deep neural network is used to solve the model to achieve the effective scheduling and control of resources. In the experiment of scheduling method, the method under MVC framework reduces the scheduling response time by about 36.85%, improves the load balance, and makes full use of scheduling computing resources.