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Dynamic Voltage and Frequency Scaling (DVFS) and Virtual Machine (VM) based server consolidation are well known CPU scaling techniques for energy conservation that can have an adverse impact on system performance. For the responsiveness-sensitive multitier applications running in today's data centers, queuing models should ideally be used to predict the impact of CPU scaling on response time, to allow appropriate runtime trade-offs between performance and energy use. In practice, however, such models are difficult to construct and thus are often abandoned for ad-hoc solutions.
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