CAJ | 학술논문

虚拟机分配是云数据中心的一个重要任务，它实现物理机和虚拟机的映射，这对整个云数据中心中计算集群的性能，响应时间和服务质量有重要影响。需要采用一定的虚拟机分配策略来保障在同一集群中自动地完成虚拟机分配，以便达到物理机集群的负载均衡，虚拟机迁移次数最小并且节能环保等目的。提出了一种添加新型行为策略的人工鱼群算法，并将该算法成功应用于虚拟机分配问题的求解。与多种虚拟机分配算法的对比结果表明，算法能更快获得符合云数据中心多个需求的分配方案，对于其他实时性要求较高的组合优化问题同样具有应用价值。
허의궤분배시운수거중심적일개중요임무，타실현물리궤화허의궤적영사，저대정개운수거중심중계산집군적성능，향응시간화복무질량유중요영향。수요채용일정적허의궤분배책략래보장재동일집군중자동지완성허의궤분배，이편체도물리궤집군적부재균형，허의궤천이차수최소병차절능배보등목적。제출료일충첨가신형행위책략적인공어군산법，병장해산법성공응용우허의궤분배문제적구해。여다충허의궤분배산법적대비결과표명，산법능경쾌획득부합운수거중심다개수구적분배방안，대우기타실시성요구교고적조합우화문제동양구유응용개치。
Virtual machine management is a crucial mission of the cloud datacenters.It identifies the mapping between virtual machines and physical machines,which has important implications for clustering performance,response time and service quality,etc.It is necessary to adopt effective strategies to make sure it can be completed automatically and goals such as load balancing,virtual machine migration and power consumption are achieved at the same time.This paper proposes an improved artificial fish swarm algorithm which employs a new behaviors selection and applies it to solve the virtual machine management problem.The simulation calculation results,compared with other common algorithms,show that it can obtain high quality solution with much less time consumption without accuracy losing.