decrease the virtual machine’s migration rate.'
author:
- 'Nasrin Akhter$^{1*}$,  Mohamed Othman$^{12*}$  Ranesh Kumar Naha$^3$ '
title: 'Energy-aware virtual machine selection method for cloud data center resource allocation'
---

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[Akhter : ]{}

Cloud Computing, Data Center, Virtual Machine, Dynamic Allocation, Energy Efficiency.

Introduction
============

power consumption of distributed and large scale systems, like the grid and cloud data center, has enormously increased its operational cost and its impact on the environment. Indeed, they need a massive electrical power supply which is a major concern for various institutions. The data center’s maximum power spent on underutilized servers and on the cooling systems are used to cool off the underutilized servers. To facilitate cloud services, we need to build a large scale data center with over a thousand physical nodes, which requires a large amount of electrical power. With the growing demand of cloud computing, energy consumption will be vastly increased in the near future. The power efficiency of hardware and proper resource management helps to minimize electrical energy costs. A recent study shows that servers usually operate from 10 to 50% of their full capacity, which has been concluded from the collected data from 5000 operational servers over a half 