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作 者:海江[1]
机构地区:[1]呼伦贝尔学院初等教育学院,内蒙古呼伦贝尔021008
出 处:《控制工程》2017年第1期100-105,共6页Control Engineering of China
基 金:国家自然科学基金(61300095)
摘 要:云环境下存在负载均衡与最优跨度等困难,鉴于此,设计了虚拟资源调度智能优化策略。其充分兼顾云虚拟资源优势,改进了GA中的选择与交叉处理,将最优跨度与负载函数当做双适应度函数,使资源调度效率明显提升。另一方面,该方案还可以从云服务集群获得有效的资源,以充分保障处于负载均衡状态。同时本文还利用Cloud Sim进行仿真测试,研究表明,在大规模任务条件下,该方法可以明显提升调度效率,同时还改善了负载均衡,说明该方法具有较好的有效性。In the cloud environment, there are difficulties in load balancing and optimal span. In view of this,this paper designs an intelligent optimization strategy of virtual resource scheduling. It gives full attention tothe advantages of cloud virtual resources, improves the selection and cross processing of GA, treats theoptimal span and load function as a dual fitness function, so that the efficiency of resource scheduling issignificantly improved. On the other hand, the proposed scheme can also get effective resources from thecloud service cluster, in order to fully protect the load balance. At the same time, this paper also usesCloudSim to carry out simulation tests. The research shows that the method can improve the schedulingefficiency obviously, and also improve the load balance, and the method has good effectiveness.
分 类 号:TK311[动力工程及工程热物理—热能工程]
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