Water resource allocation was defined as an input-output question in this paper, and a preliminary input-output index system was set up. Then GEM (group eigenvalue method)-MAUE (multi-attribute utility theory) mod...Water resource allocation was defined as an input-output question in this paper, and a preliminary input-output index system was set up. Then GEM (group eigenvalue method)-MAUE (multi-attribute utility theory) model was applied to evaluate relative efficiency of water resource allocation plans. This model determined weights of indicators by GEM, and assessed the allocation schemes by MAUE. Compared with DEA (Data Envelopment Analysis) or ANN (Artificial Neural Networks), the mode was more applicable in some cases where decision-makers had preference for certain indicators展开更多
为解决现有的虚拟机(VM)初始放置目标较为片面,仅考虑1个或者2个方面的问题,该文提出了1种面向多目标优化的VM初始放置方法。综合考虑了资源利用率、功率以及温度3方面因素。基于改进的分组遗传算法生成候选的VM放置方案。采用多目标模...为解决现有的虚拟机(VM)初始放置目标较为片面,仅考虑1个或者2个方面的问题,该文提出了1种面向多目标优化的VM初始放置方法。综合考虑了资源利用率、功率以及温度3方面因素。基于改进的分组遗传算法生成候选的VM放置方案。采用多目标模糊评估方法筛选出最佳放置方案。仿真实验结果表明,该文方法可以减少约44%的资源浪费、降低3 k W服务器运行功率。展开更多
文摘Water resource allocation was defined as an input-output question in this paper, and a preliminary input-output index system was set up. Then GEM (group eigenvalue method)-MAUE (multi-attribute utility theory) model was applied to evaluate relative efficiency of water resource allocation plans. This model determined weights of indicators by GEM, and assessed the allocation schemes by MAUE. Compared with DEA (Data Envelopment Analysis) or ANN (Artificial Neural Networks), the mode was more applicable in some cases where decision-makers had preference for certain indicators
文摘为解决现有的虚拟机(VM)初始放置目标较为片面,仅考虑1个或者2个方面的问题,该文提出了1种面向多目标优化的VM初始放置方法。综合考虑了资源利用率、功率以及温度3方面因素。基于改进的分组遗传算法生成候选的VM放置方案。采用多目标模糊评估方法筛选出最佳放置方案。仿真实验结果表明,该文方法可以减少约44%的资源浪费、降低3 k W服务器运行功率。