Abstract
Improving the energy efficiency of data center has become a research focus in recent years. Previous works commonly adopted the inlet temperature constraint to optimize the thermal environment in the data center. However, the inlet temperature-aware method cannot prevent the servers from over-cooling. To cope with this issue, we propose a thermal-aware workload allocation strategy with respect to the chip temperature constraint. In this paper, we conducted a comparative evaluation of the performance between the chip and inlet temperature-aware workload allocation strategies. The workload allocation strategies adopt a POD-based heat recirculation model to characterize the thermal environment in data center. The contribution of the temperature-dependent leakage power to server power consumption is also considered. We adopted a sample data center under constant-flow and variable-flow cooling air supply to evaluate the performance of these two different workload allocation strategies. The comparison results show that the chip temperature-aware workload allocation strategy prevents the servers from over-cooling and significantly improves the energy efficiency of data center, especially for the case of variable-flow cooling air supply.
Highlights
The explosive growth of information technology (IT) and cloud computation in recent years makes data centers consume nearly 2% of total worldwide electricity [1]
We observe that the power consumption of data center under variable-flow cooling air supply is always lower than the corresponding case under constant-flow cooling air supply, and the power consumption of data center optimized by the chip temperature-aware strategy is always lower than the corresponding case optimized by the inlet temperature-aware strategy
For both constant-flow and variable-flow cooling air supply, we observe that the Power Usage Efficiency (PUE) achieved by the chip temperature-aware workload allocation strategy is obviously lower than the corresponding case adopted the inlet temperature-aware workload allocation strategy
Summary
The explosive growth of information technology (IT) and cloud computation in recent years makes data centers consume nearly 2% of total worldwide electricity [1]. In order to provide an acceptable temperature and humidity environment for maintaining the stable operation of IT equipment, approximately 30–50% of energy consumption in an air-cooled data center is consumed by the cooling system [2]. Cooling energy consumption is an important part of the operation cost of data center [3]. Improving the cooling efficiency of the data center attracts more and more attention in the design and operation stages. The typical air-cooled data centers commonly adopt the raised floor structure, as shown in equipment. The rack outlets expel the same amount of exhaust hot air to the hot aisle
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