云环境下基于CROTS算法的虚拟机放置策略 |
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引用本文:秦启飞,王世振,袁翔,胡志刚.云环境下基于CROTS算法的虚拟机放置策略[J].计算技术与自动化,2015,(1):105-110 |
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中文摘要:随着越来越多数据中心的构建和部署,能耗问题成为研究热点。作为一种有效的节能策略,虚拟机整合受到了研究人员和业界的关注。针对传统的虚拟机放置策略的不足,利用化学反应优化算法CRO求解数据中心的虚拟机放置问题,并通过禁忌搜索算法提高CRO算法中器壁无损碰撞对解的勘探能力。仿真实验表明,相对于传统的贪婪放置策略FFD和基于ACO的放置策略,提出的CROTS算法可有效降低数据中心物理机的使用个数,进而降低了数据中心的能耗。 |
中文关键词:云计算 数据中心 虚拟机放置 能耗 化学反应优化 |
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Chemical Reactive Optimization for Vm Consolidation in Cloud Computing Environment |
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Abstract:More and more data centers are created,and energy consumption becomes the research hotspot. As a kind of effective energy saving strategy, VM consolidation is focused by researcher and industry. Due to the shortage of the traditional VM consolidation,this paper used a new meta-heuristic algorithm called CRO(Chemical Reactive Optimization)to solve the VM consolidation problem in data centers and used Local Search to improve the ability of seeking the solutions. Experimental results show that this method is more excellent than other methods, which can decrease the number of servers and can reduce the energy consumption of data centers. |
keywords:cloud computing data center VM placement energy CROTS |
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