Title :
Power model for virtual machine in cloud computing
Author :
Chinprasertsuk, Satit ; Gertphol, S.
Author_Institution :
Dept. of Comput. Sci., Kasetsart Univ., Bangkok, Thailand
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.
Keywords :
cloud computing; power aware computing; power consumption; resource allocation; virtual machines; VM; cloud computing; energy consumption cost reduction; energy efficient servers; energy estimation; energy model; power consumption; power model; resource utilization; virtual machines; Cloud Computing; Energy effeciency; Power Consumption; Virtual Machine;
Conference_Titel :
Computer Science and Software Engineering (JCSSE), 2014 11th International Joint Conference on
Conference_Location :
Chon Buri
Print_ISBN :
978-1-4799-5821-4
DOI :
10.1109/JCSSE.2014.6841857