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.

翻译：在时间约束下管理能效是一项有趣且重大的挑战。本文针对云计算中受时间约束的服务器，提出了一种精确的数据中心功耗模型。与以往方法不同，该模型不仅考虑分配给处理元件的工作负载，还纳入了静态功耗及其与温度依赖关系的考量——这一点尤为重要。所提出的模型已应用于多目标优化环境中，其中动态电压频率缩放（DVFS）与工作负载分配得到了高效优化。