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Cloud Computing is taking more extensive space in the research field. Cloud architectures will need to worry about energy in its various forms, to be profitable, on the one hand, and comply with environmental constraints (energy consumption and CO2 emission) on the other hand. Virtual Machines Consolidation (VMs in this document), among other techniques, must take into account the consumption of electrical energy, for example, while providing a level of performance that meets the requirements of Service Level Agreements (SLAs). In our work, we focus on an architecture configuration to manage virtual machines in a data center, in order to optimize the consumption of energy, and meet at the same time SLAs's constraints, by grafting a tracing component of the multiple consolidation plans that leads to an optimal configuration to finally give the order of the migration machinery to a minimum number of servers switched on, knowing that VMs that coexist in the same server, are at risk of congestion and interference.