Improving Energy Efficiency and Impairing Environmental Impacts on Cloud Centers by Transforming Virtual Machine into Self-Adaptive Resource Container

Enterprises are seeking on-demand computing models that can be employed with better utilization and reduced operational cost by remitting up to the users' needs; this brings up zero charges as zero demand exhibits because user demands are vary drastically over time. To reinforce dynamic resource provision, service providers have to maintain more computational resources than needed. Meanwhile, the IT sector has more apprehensions about the impact on the environment due to an increase in carbon dioxide emissions, higher electricity consumption and a growth in the electronic wastes from electronic components. Most of the research works focus primarily on the expertise required for providing the needed resources and not care on resource utilized which brings unsustainability. To achieve sustainable computing, unwanted installation of contemporary computational resources should be rolled up and better sharing options should be made available. This paper proposes new virtualization techniques which engage cloud services exclusively between host and guest operating environments. By doing so, this mechanism stands as the best crossover with other working engines and provide open service to execute any type of applications on it. Finally, the combination of cloud service and virtualization enables container features with efficient utilization factor. Most probably, a proper combination of these resources solves any computational issues so these two resource mechanism's always standing on the top of the change. This experiment analysis aims to compare the performance of container with virtual machine based container in an adopted infrastructure via cloud simulator. And the result of better efficiency metrics attained by virtual based container were explored and plotted.