ABSTRACT
Carbon emissions trading is a market mechanism to reduce global greenhouse gas emissions and reduce global carbon dioxide emissions. It combines the scientific issues of climate change, the technical problem of reducing carbon emissions and the economic problem of sustainable development, solving the problem of science, technology and economy issue by using the market mechanism (Cramton et al. 2002). Cloud computing is a kind of new resources and payment mode based on grid computing, utility computing, virtualization technology SaaS Application. This paper creatively virtualizes carbon emissions trading as cloud server, making the carbon emissions trading have the advantage of easy using and cloud computing specialty. Through the analysis of the cloud resource provider and consumer behavior characterize of the buyer and seller standard, we determine the price update strategy, design the overall auction process, ultimately determine the transaction price. Moreover, the using of artificial fish swarm algorithm to optimize the allocation of resources. Simulation results show that this method has some advantages in user satisfaction, turning over and user gains.
