We develop an energy reduction scheduler for cloud managers (OpenNebula).
We propose a new energy and VMs performance models for the VM scheduling on cloud.
We propose a Pareto scheduler addressing both energy and VMs performance.
We prove the superiority of our schedulers over three other scheduling approaches.
We reduce the energy of up to 200 physical machines of the Grid5000 infrastructure.