Abstract:

With the continuous deepening of teaching informatization, the campus cloud platform is becoming increasingly popular, but the resource utilization in practical applications is still low. The key problem is that the current scheduling mechanism of virtual machines does not take into account the characteristics of campus teaching applications, resulting in a waste of resources and load unbalancing. To tackle this problem, according to the requirements of teaching applications in universities, we put forward a dynamic scheduling algorithm of course virtual machines(CRS), define the course requirement model and the physical machine load model, and implement a campus cloud platform based on the OpenStack. Experimental results show that the platform achieves energy consumption reduction and load balancing.

Key words: campus cloud;dynamic scheduling;energy saving;load balancing