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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 some problems such as load balancing and optimal span. In view of this, intelligent optimization strategy of virtual resource scheduling is designed. It fully takes into account the advantages of cloud virtual resources, improves the selection and cross-processing in GA, and takes the optimal span and load function as a dual fitness function, which obviously improves the resource scheduling efficiency. On the other hand, the solution can also obtain effective resources from the cloud service cluster to fully guarantee the load balancing state. At the same time, this paper also uses Cloud Sim to simulate the test. The research shows that this method can obviously improve the scheduling efficiency under large-scale task conditions and improve the load balancing at the same time, which shows that the method is effective.