Dynamic optimization of virtual machine placement by resource usage prediction

Katsunori Sato, M. Samejima, N. Komoda
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引用次数: 26

Abstract

In order to save energy with preventing the lack of the resources on servers in data centers, we address the dynamic optimization of virtual machine placement. A decision problem of the virtual machine placement has been formulated as Bin Packing problem. Conventional methods repeat to solve the problem at regular intervals. Live migration is used for changing the virtual machine placement, but some of live migrations are unnecessary; the virtual machine is migrated repeatedly between the physical servers. For the purpose of reducing the unnecessary live migrations, we propose a dynamic optimization of virtual machine placement by resource usage prediction. The proposed method predicts the future resource usage by Auto Regressive Model. The proposed method decides the virtual machine placement by solving the Bin Packing problem with the predicted resource usage.
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基于资源使用预测的虚拟机布局动态优化
为了避免数据中心服务器资源不足而节省能源,我们解决了虚拟机放置的动态优化问题。将虚拟机布局的决策问题表述为装箱问题。常规方法每隔一段时间重复求解问题。动态迁移用于更改虚拟机的位置,但有些动态迁移是不必要的;虚拟机在物理服务器间重复迁移。为了减少不必要的实时迁移,我们提出了一种基于资源使用预测的虚拟机布局动态优化方法。该方法利用自回归模型预测未来的资源使用情况。该方法根据预测的资源使用情况,通过求解装箱问题来确定虚拟机的位置。
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