Our objective is to design quantitative and qualitative economic models for an Infrastructure as a Service (IaaS) provider. It should provide an efficient, market-driven, and competitive environment for cloud providers and consumers to maximize their profit and minimize their costs, respectively, while meeting their long-term QoS requests. This is crucial if we want to unlock the full potential of cloud computing which has largely remained closed and proprietary. This project focuses on fundamental technical details concerning optimization, prediction, and machine learning models in the cloud service management.
