Title :
A Deployment Scheme of Virtual Machines for Campus Cloud Platform
Author :
Qian Ma;Jing Wang;Gang Wang
Author_Institution :
Res. Center for Cloud Comput., North China Univ. of Technol., Beijing, China
fDate :
5/1/2014 12:00:00 AM
Abstract :
With the continuous deepening of teaching informatization, campus cloud platform is becoming increasingly popular, but the resource utilization in the campus cloud is still low, resulting in a serious waste of resources. To tackle this problem, this paper puts forward a deployment scheme of virtual machines for campus cloud platform, defines the course requirement model and the physical machine load model, and proposes a virtual machine deployment algorithm. This scheme can adapt to the characteristics of teaching applications such as periodicity, predictability, and batch, and achieve the purpose of energy saving and load balancing. Experiments show that the scheme can effectively reduce power consumption and achieve load balancing.
Keywords :
"Virtual machining","Load modeling","Load management","Servers","Education","Resource management","Time factors"
Conference_Titel :
Service Sciences (ICSS), 2014 International Conference on
DOI :
10.1109/ICSS.2014.32