计算机科学 ›› 2016, Vol. 43 ›› Issue (3): 113-117.doi: 10.11896/j.issn.1002-137X.2016.03.023
赵宏伟,李圣普
ZHAO Hong-wei and LI Sheng-pu
摘要： 为了获得云计算资源调度的多目标优化方案,提出了一种云计算资源的动态调度管理框架；然后给出了本系统的基本架构形式,并对其进行了详细设计；其次,建立了以提高应用性能、保证云应用的服务质量和提高资源利用率为目标的多目标优化模型,并结合最新的RBF神经网络和改进粒子群算法对其求解；最后,在CloudSim平台进行了仿真,实验结果表明提出的框架及算法能有效减少虚拟机迁移次数和物理结点的使用数量,在提高资源利用率的同时,能保证云应用的服务质量。
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