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

ISSN号：1004-4132
期刊名称：《系统工程与电子技术：英文版》
时间：0
分类：TP301.6[自动化与计算机技术—计算机系统结构;自动化与计算机技术—计算机科学与技术] TP393.4[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
作者机构：[1]College of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210003, China, [2]State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210046, China, [3]Key Lab of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education Nanjing University of Posts and Telecommunications, Nanjing 210003, China
相关基金：This work was supported by the National Natural Science Foun- dation of China （61202004; 61272084）, the National Key Basic Research Program of China （973 Program）（2011CB302903）, the Spe- cialized Research Fund for the Doctoral Program of Higher Education （20093223120001; 20113223110003）, the China Postdoctoral Science Foundation Funded Project （2011M500095; 2012T50514）, the Natural Science Foundation of Jiangsu Province （BK2011754; BK2009426）, the Jiangsu Postdoctoral Science Foundation Funded Project （1102103C）, the Natural Science Fund of Higher Education of Jiangsu Province （12KJB520007）, and the Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions （yx002001）,

作者： Xiaolong Xu[1,2], Jiaxing Wu[1], Geng Yang[3], Ruchuan Wang[1]

关键词：任务调度算法, 数据中心, 低功耗, 任务调度策略, 能源消耗, 性能分析, 低能耗, 节点, cloud computing, data center, task scheduling, energy consumption.

中文摘要：

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.

英文摘要：

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 （L3SA） 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.

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