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How to effectively reduce the energy consumption of large-scale data centers is a key issue in cloud computing. This pa-per presents a novel low-power task scheduling algorithm (LTSA) for large-scale cloud data centers. The winner tree is introduced to make the data nodes as the leaf nodes of the tree and the final winner on the purpose of reducing energy consumption is selected. The complexity of large-scale cloud data centers is ful y consider, and the task comparson coefficient is defined to make task scheduling strategy more reasonable. Experiments and per-formance analysis show that the proposed algorithm can effec-tively improve the node utilization, and reduce the overal power consumption of the cloud data center.