Ohio State University
Cloud computing is fast being deployed by the industry as a means to provide efficient computing resources. A significant fraction of the overall cost of cloud computing operation is the amount of power it consumes, which is related to the number of machines in operation. In order to efficiently manage the power cost associated with cloud computing, the authors develop the foundations for designing a cloud computing environment. To achieve this, they first develop a new set of heavy-traffic-based results. They then classify the clouds into four classes based on different QoS requirements. They provide different heavy traffic limits for each of these classes of clouds.