  Managing energy efficiency under timing constraints is an interesting and big
challenge. This work proposes an accurate power model in data centers for
time-constrained servers in Cloud computing. This model, as opposed to previous
approaches, does not only consider the workload assigned to the processing
element, but also incorporates the need of considering the static power
consumption and, even more interestingly, its dependency with temperature. The
proposed model has been used in a multi-objective optimization environment in
which the Dynamic Voltage and Frequency Scaling (DVFS) and workload assignment
have been efficiently optimized.
