{"title":"Power model for virtual machine in cloud computing","authors":"Satit Chinprasertsuk, Sethavidh Gertphol","doi":"10.1109/JCSSE.2014.6841857","DOIUrl":null,"url":null,"abstract":"Cloud computing has potentials to reduce energy consumption cost for the providers by intelligently allocating virtual machines to energy efficient servers. This paper proposes a new method to create an energy model that describes a direct relationship between resource utilization in the VM and the energy consumption by the host. With the model it is possible to estimate how much energy a server will consume if it accommodates a specific number of VMs, each with a specific resource utilization. This work also investigated the power consumption of a server when different combinations of VMs with different utilization are running on it. The result shows that the energy consumption varies non-linearly with the number of VMs allocated on that host.","PeriodicalId":331610,"journal":{"name":"2014 11th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 11th International Joint Conference on Computer Science and Software Engineering (JCSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JCSSE.2014.6841857","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Cloud computing has potentials to reduce energy consumption cost for the providers by intelligently allocating virtual machines to energy efficient servers. This paper proposes a new method to create an energy model that describes a direct relationship between resource utilization in the VM and the energy consumption by the host. With the model it is possible to estimate how much energy a server will consume if it accommodates a specific number of VMs, each with a specific resource utilization. This work also investigated the power consumption of a server when different combinations of VMs with different utilization are running on it. The result shows that the energy consumption varies non-linearly with the number of VMs allocated on that host.