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Saving energy is an important issue for cloud providers to reduce energy costin a data center. With the increasing popularity of cloud computing, it is timeto examine various energy reduction methods for which energy consumption couldbe reduced and lead us to green cloud computing. In this paper, our aim is topropose a virtual machine selection algorithm to improve the energy efficiencyof a cloud data center. We are also presenting experimental results of theproposed algorithm in a cloud computing based simulation environment. Theproposed algorithm dynamically took the virtual machines' allocation,deallocation, and reallocation action to the physical server. However, itdepends on the load and heuristics based on the analysis placement of a virtualmachine which is decided over time. From the results obtained from thesimulation, we have found that our proposed virtual machine selection algorithmreduces the total energy consumption by 19% compared to the existing one.Therefore, the energy consumption cost of a cloud data center reduces and alsolowers the carbon footprint. Simulation-based experimental results show thatthe proposed heuristics which are based on resource provisioning algorithmsreduce the energy consumption of the cloud data center and decrease the virtualmachine's migration rate.

Energy-aware virtual machine selection method for cloud data center resource allocation