Sustainable cost and energy consumption analysis for cloud data centers

c � Higher Education Press and Springer-Verlag Berlin Heidelberg 2014 Abstract The implementation of cloud computing has at- tracted computingasa utility andenablespenetrativeapplica- tions from scientific, consumer and business domains. How- ever, this implementation faces associated TCO (total cost of ownership) concerns. Cloud service providers are becom- ing increasingly concerned. For that purpose, cost models for cloud have been developed. In this paper, we present service that compares the total cost of ownership of a physical ma- chine with the cost of a virtual cloud-based machine. In addi- tion, services for monitoring, estimating and analyzing com- prehensive costs associated with cloud computing environ- ment have been developed. The model for the physical ma- chine takes into account previous works and incorporates a more detailed study of the costs related to power and energy consumption. The model for the virtual cloud-based machine considers reserving instances offered by Amazon EC2 on a long-term basis. We format suits of measurable metrics and formulas for our calculations. The results show that, physi- cal clusters are still more viable for organizationswith a high usage rate, while virtual cloud-based machines are interest- ing option for organizationswith a high degree of uncertainty with respect to computational requirements.