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	Energy Aware Virtual Machine Placement Scheduling in Cloud Computing Based on Ant Colony Optimization Approach (CPCI-S收录)
	Liu, Xiao-Fang[1,2,3]; Zhan, Zhi-Hui[1,2,3]; Du, Ke-Jing[4]; Chen, Wei-Neng[5]
会议名称	GECCO'14: PROCEEDINGS OF THE 2014 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE
关键词	Algorithms Performance Design Experimentation Cloud computing resource scheduling virtual machine placement ant colony optimization
URL标识	查看原文
内容类型	会议论文
URI标识	http://www.corc.org.cn/handle/1471x/2044352
专题	华南理工大学
作者单位	1.[1]Sun Yat Sen Univ, Dept Comp Sci, Guangzhou 510275, Guangdong, Peoples R China 2.[2]Minist Educ, Key Lab Machine Intelligence & Adv Comp, Beijing, Peoples R China 3.[3]Minist Educ, Engn Res Ctr Supercomp Engn Software, Beijing, Peoples R China 4.[4]City Univ Hong Kong, Dept Management Sci, Kowloon, Hong Kong, Peoples R China 5.[5]Sun Yat Sen Univ, Sch Adv Comp, Guangzhou, Peoples R China
推荐引用方式 GB/T 7714	Liu, Xiao-Fang[1,2,3],Zhan, Zhi-Hui[1,2,3],Du, Ke-Jing[4],等. Energy Aware Virtual Machine Placement Scheduling in Cloud Computing Based on Ant Colony Optimization Approach (CPCI-S收录)[C]. 见:GECCO'14: PROCEEDINGS OF THE 2014 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE.

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