The resource sharing of large Web network data center has imbalance resource allocation and low utilization rate. Therefore,a grouping genetic resources mining algorithm based on multidimensional resource coordination aggregation is put for-ward. Taking the resource sharing contradiction of Web network data center as the mathematic model of multidimensional re-source aggregation,the multidimensional coordination fitness function based on fuzzy logic is used to select the key operator and optimize the multi-attribute decision-making,which can improve the working efficiency and solution quality. The best virtual ma-chine scheduling result is obtained by means of the grouping genetic virtual machine scheduling algorithm to realize the equilibri-um allocation of the data center resources. The experimental results indicate that the proposed algorithm can improve the compre-hensive utilization of data center resources and realize the equilibrium allocation of resources,and has high running efficiency.%针对大型Web网络数据中心资源共享存在资源分配失衡和利用率低等问题,提出基于多维资源协调聚合的分组遗传资源挖掘算法.将Web网络数据中心资源共享矛盾看成是多维资源聚合数学模型,通过基于模糊逻辑的多维协同适应度函数对关键算子实施选择和多属性决策优化,提升工作效率和求解质量.最后通过分组遗传虚拟机调度算法得到最佳虚拟机调度结果,实现数据中心资源的均衡分配.实验结果表明,该算法能够提升数据中心资源综合利用率,运行效率较高,可完成资源的均衡分配.
展开▼
