云环境下基于 CROTS 算法的虚拟机放置策略

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。%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 tradi-tional 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.Experi-mental 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.