Qualitative Analyzing and Evaluating Energy Efficient Datacenters Based on Cloud Model in Cloud Environment

Abstract

Abstract-The green cloud becomes a center of attention, how to evaluate the energy efficiency of the cloud environment has been one of difficult and attractive field . Cloud models are the effective tools in transforming between qualitative concepts and their quantitative expressions. This paper designs an uncertainty enhanced energy-efficiency evaluation model based on cloud model theory, through the cloud model we convert the energy, performance and QoS parameters into qualitative concept, and then we propose a new tasks scheduling algorithm to optimize the energy-efficiency of cloud datacenters. Our research results can be integrated into Cloud systems to monitor energy efficiency and support static or dynamic system-level energy-efficiency optimization.