为了减少骨干网络内的数据流量,研究确定和优化虚拟机在数据中心的放置问题。虚拟机放置问题是一个HL问题,但是它在大型的云计算系统中表现不能令人满意。为了解决这个问题,重新建模,提出MF模型,利用可变聚合方法和添加有效不等式加强这个模型。通过大量的实验表明,在运行时间和计算资源方面该模型是可行有效的。
The virtual machine placement in data center is researched and optimized to reduce the data flow in the back?bone networks.The virtual machine placement can be considered as a HL(hub location)problem.It is not satisfactory in thelarge cloud computing system.In order to solve this problem,a new MF model is proposed in this paper,which is based on thevariable aggregation method and the effective inequality.The results of a large number of experiments show that the model is fea?sible and effective in running time and computing resources.