Profiling, quantifying, modeling and evaluating green service level objectives in cloud computing environments

High energy efficiency issue is one of the major obstacles for opening up the new era of the long dreamed vision of computing as a green computing with large-scale cloud data centers. In particular, with the global climate change and the ever growing dependence on energy, green computing, as a high-end computing platform, has received extensive attention. To minimize energy consumption and to achieve the quantifiability and manageability of the high green service level objectives for cloud computing environments, the analysis, quantification, modeling and evaluation of the green service level objectives for cloud computing environments are investigated. In this paper, the definition of green cloud is given and the principles for implementing high green service level objectives are systematically analyzed by referring to the service level objective and green computing theories. Based on the principles and methodology of green cloud, a multi-metric energy consumption model M2EC is put forward. Theoretical as well as experimental results conclusively demonstrate that the M2EC algorithm has high potential as it provides efficient green enhancements and significant energy saving. It implements the trade-off between energy consumption and green-service level objectives efficiently and effectively in cloud computing environments.