{"title":"A Deployment Scheme of Virtual Machines for Campus Cloud Platform","authors":"Qiang Ma, Jing Wang, G. Wang","doi":"10.1109/ICSS.2014.32","DOIUrl":null,"url":null,"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.","PeriodicalId":206490,"journal":{"name":"2014 International Conference on Service Sciences","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Service Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSS.2014.32","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
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.