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	Multi-objective optimization model of virtual resources scheduling under cloud computing and it's solution
	Zhao, Jianfe ; Zeng, Wenh ; Liu, Mi ; Li, Guangming ; Ceng WH(曾文华)
	2011
关键词	Algorithms Cloud computing Experiments Multiobjective optimization
英文摘要	Conference Name:2011 International Conference on Cloud and Service Computing, CSC 2011. Conference Address: Hong Kong, China. Time:December 12, 2011 - December 14, 2011.; Croucher Foundation; Hong Kong Polytechnic University; Chinese Institute of Electronics; It's an basic requirement in cloud computing that scheduling virtual resources to physical resources with balance load, however, the simple scheduling methods can not meet this requirement. This paper proposed a virtual resources scheduling model and solved it by advanced Non-dominated Sorting Genetic Algorithm II (NSGA II). This model was evaluated by balance load, virtual resources and physical resources were abstracted a lot of nodes with attributes based on analyzing the flow of virtual resources scheduling. NSGA II was employed to address this model and a new tree sorting algorithms was adopted to improve the efficiency of NSGA II. In experiment, verified the correctness of this model. Comparing with Random algorithm, Static algorithm and Rank algorithm by a lot of experiments, at least 1.06 and at most 40.25 speed-up of balance degree can be obtained by NSGA II. ? 2011 IEEE.
语种	英语
出处	http://dx.doi.org/10.1109/CSC.2011.6138518
出版者	IEEE Computer Society
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/85846]
专题	软件学院－会议论文
推荐引用方式 GB/T 7714	Zhao, Jianfe,Zeng, Wenh,Liu, Mi,et al. Multi-objective optimization model of virtual resources scheduling under cloud computing and it's solution. 2011-01-01.

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