Low-power task scheduling algorithm for large-scale cloud data centers
摘要
How to effectively reduce the energy consumption of large-scale data centers is a key issue in cloud computing. This paper 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 fully consider, and the task comparson coefficient is defined to make task scheduling strategy more reasonable. Experiments and performance analysis show that the proposed algorithm can effectively improve the node utilization, and reduce the overall power consumption of the cloud data center.
引用本文（GB/T 7714）
Xiaolong, Xu Xu, Jiaxing, 等. Low-power task scheduling algorithm for large-scale cloud data centers[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2013.
引文网络
本站仅收录题录与摘要供学习参考，全文版权归属出版方；如有侵权请联系我们删除。