用户利益最大化的云计算联盟资源调度被引量：3

Cloud Computing Federation Resource Scheduling for Maximizing Users' Benefits

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摘要针对云联盟的资源调度问题进行了研究,提出了基于用户利益最大化的云计算联盟资源调度方法,并通过遗传算法实现资源调度策略。同时基于CloudSim实现了云计算联盟资源调度方法,对云计算联盟环境下的资源调度研究从学术走向实际应用具有一定的意义。 Resource scheduling problem of cloud computing federation was investigated .A method based on user＇s benefits maximization of cloud computing federation resource scheduling was put forward .The resource scheduling strategy was realized by the genetic algorithm .At the same time , the cloud computing federation resource scheduling method was implemented based on the CloudSim.It has certain influence on the resource scheduling research under the environment of the cloud computing federation from academic to practical application .

作者陈玲陈冬林桂雁军吴钟

机构地区武汉理工大学经济学院福建新奇特车业服务有限公司

出处《武汉理工大学学报（信息与管理工程版）》 CAS 2014年第3期369-373,共5页 Journal of Wuhan University of Technology：Information & Management Engineering

基金国家自然科学基金资助项目(71172043 71072077) 国家科技支撑计划基金资助项目(2011BAH16B02 2012BAH93F04) 中央高校基本科研业务费专项资金资助项目(2012-IB-063 2012-IB-060 2013-ZY-132) 教育部人文社科基金资助项目(09YJA630124 10YJAZH050)

关键词云计算联盟资源调度遗传算法云供应商 cloud computing federation resource scheduling genetic algorithm cloud providers

分类号 TP181 [自动化与计算机技术—控制理论与控制工程]

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