基于负载预测的动态虚拟机整合算法

A Dynamic Virtual Machine Consolidation Algorithm Based on Load Prediction

提出了一种基于负载预测的动态虚拟机整合算法,其利用虚拟化技术解决云数据中心负载均衡问题,在降低计算节点能耗的同时满足服务水平协议。该方法将虚拟机整合划分为4个关键步骤(即主机低负荷检测、主机超负荷检测、虚拟机选择和虚拟机放置)并给出相应解决策略。仿真试验结果表明,与目前静态虚拟机管理方法相比,该算法的复杂度较低、易于实现、适用性强,能够有效降低云计算数据中心的能耗。

In order to address the load balancing problem of data centers in cloud computing,a virtual machine consolidation algorithm is presented to decrease the energy consumption and improve the application performance.The proposed method is divided into four key steps,that is,host underload detection,host overload detection,virtual machine selection,and virtual machine placement,each of them is solved by the corresponding algorithm.The simulation results show that the proposed method has less complexity for easy implementation,good applicability,and can effectively reduce the energy consumption of cloud computing.