Low-power task scheduling algorithm for large-scale cloud data centers

被引：5
|
作者：
Xu, Xiaolong [1 ,2 ]
Wu, Jiaxing [1 ]
Yang, Geng [3 ]
Wang, Ruchuan [1 ]
机构：
[1] Nanjing Univ Posts & Telecommun, Coll Comp, Nanjing 210003, Peoples R China
[2] Nanjing Univ, State Key Lab Novel Software Technol, Nanjing 210046, Jiangsu, Peoples R China
[3] Nanjing Univ Posts & Telecommun, Key Lab Broadband Wireless Commun & Sensor Networ, Minist Educ, Nanjing 210003, Peoples R China
来源：
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS | 2013年 / 24卷 / 05期
基金：
中国博士后科学基金; 中国国家自然科学基金;
关键词：
cloud computing; data center; task scheduling; energy consumption;
D O I：
10.1109/JSEE.2013.00101
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
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
收藏
页码：870 / 878
页数：9
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