随着云数据中心的大规模应用,其高能耗、高污染等问题日益突出。围绕数据中心的动态能耗管理(DEM,Dynamic Energy Management)问题,提出了一种基于广义随机Petri网(GSPN,Generalized Stochastic Petri Nets)的DEM建模、求解与分析的系统性能评价框架。该框架综合考虑了多种任务调度策略的联合应用与服务器工作模式的动态调整,设计了合理的能耗优
A pot experiment combined with15 N isotope techniques was conducted to evaluate effects of the varying rates of urea.N fertilizer application on yields,quailty,