Modeling Impact of Power- and Thermal-Aware Fans Management on Data Center Energy Consumption

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Abstract

In this paper we study the power usage and thermal management of micro servers to analyze their impact on the overall data center energy consumption. We propose thermal models of micro servers based on analytical approach tuned with parameters derived from empirical tests. We demonstrate how fan management configuration affects the energy consumption of servers and the whole data center. We also apply the proposed model to predict temperature changes in a short time ahead and take advantage of these predictions to improve fan management. We show why PUE is not sufficient or can be even misleading in minimizing data center energy consumption. To mitigate this issue, we propose metrics that can be used to reflect correctly fans management impact on the overall energy consumption.

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