Energy-efficient and QoS-aware model based resource consolidation in cloud data centers

doi:10.1007/s10586-017-0893-5

CORC > 重庆绿色智能技术研究院 > 中国科学院重庆绿色智能技术研究院 > 大数据挖掘及应用中心

	Energy-efficient and QoS-aware model based resource consolidation in cloud data centers
	Li, Hongjian 1,2; Zhu, Guofeng 2; Zhao, Yuyan 2; Dai, Yu 2; Tian, Wenhong1,3
刊名	Cluster Computing
	2017
卷号	20 期号:3 页码:2793-2803
ISSN号	13867857
DOI	10.1007/s10586-017-0893-5
通讯作者	Li, Hongjian (lihj@cqupt.edu.cn)
英文摘要	High energy consumption in data center has become a key problem, and the Carbon (CO2) emissions from data center have serious impacts on environment. To improve traditional performance-energy model and minimize energy consumption in cloud data center, an energy-efficient and QoS-aware (EEQoS) model is developed for virtual resources consolidation. The EEQoS model is designed to investigate the trade-off between energy and QoS. The user’s satisfaction degree and Euclidean distance of resources are also respectively applied to the QoS model and power model. In addition, this EEQoS model is combined with the particle swarm optimization algorithm by setting the power consumption per QoS value as the objective function to consolidate virtual resources in data center. Compared with traditional power model, the proposed model reduces response time by 27.2%, cost by 31.4%, SLA violations by 40.5% and improves throughput by 13.5% on average while increasing less than 3.8% energy consumption during the whole test period. © 2017, Springer Science+Business Media New York.
电子版国际标准刊号	15737543
语种	英语
内容类型	期刊论文
源URL	[http://119.78.100.138/handle/2HOD01W0/4497]
专题	大数据挖掘及应用中心
作者单位	1.Department of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu; 610054, China; 2.Department of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing; 400065, China; 3.Chongqing Institute of Green and Intelligent Technology (CIGIT), Chinese Academy of Science, Chongqing; 400714, China
推荐引用方式 GB/T 7714	Li, Hongjian,Zhu, Guofeng,Zhao, Yuyan,et al. Energy-efficient and QoS-aware model based resource consolidation in cloud data centers[J]. Cluster Computing,2017,20(3):2793-2803.
APA	Li, Hongjian,Zhu, Guofeng,Zhao, Yuyan,Dai, Yu,&Tian, Wenhong.(2017).Energy-efficient and QoS-aware model based resource consolidation in cloud data centers.Cluster Computing,20(3),2793-2803.
MLA	Li, Hongjian,et al."Energy-efficient and QoS-aware model based resource consolidation in cloud data centers".Cluster Computing 20.3(2017):2793-2803.