Research on Resource Scheduling Algorithm of Virtual Simulation Teaching Platform Based on Cloud Computing

To improve the resource utilization efficiency of virtual simulation teaching platform in cloud computing environment, this paper proposes a resource scheduling method based on weighted polling scheduling algorithm. This method ensures fair and efficient resource allocation of virtual simulation tasks in the teaching platform by weighting different types of resources. First, this paper analyzes the characteristics and challenges of resource scheduling in virtual simulation teaching platform, and proposes an improved weighted polling scheduling algorithm to optimize resource utilization and response time. The algorithm dynamically adjusts the weight according to the priority and resource demand of the task to avoid the problems of uneven resource allocation and resource waste. Subsequently, this paper builds a simulation system of virtual simulation teaching platform based on cloud computing architecture to verify the proposed algorithm. Simulation results show that the improved weighted polling scheduling algorithm has significant advantages in resource utilization, task response time and system throughput. Data analysis of multiple simulation experiments shows that the algorithm effectively improves the overall performance of virtual simulation teaching platform and provides a new optimization solution for teaching resource scheduling in cloud computing environment.