Dynamic optimization of virtual machine placement by resource usage prediction
Dynamic optimization of virtual machine placement by resource usage prediction
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DOI：
10.1109/indin.2013.6622863
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发表时间：
2013-07
期刊：
影响因子：
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通讯作者：
Katsunori Sato;M. Samejima;N. Komoda
中科院分区：
文献类型：
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作者：
Katsunori Sato;M. Samejima;N. Komoda
为了在节省能源的同时防止数据中心服务器上的资源短缺，本文研究了动态优化的虚拟机布局问题。将虚拟机器布局决策问题转化为装箱问题。常规方法每隔一段时间重复解决问题。实时迁移用于更改虚拟机位置，但某些实时迁移是不必要的；虚拟机在物理服务器之间重复迁移。为了减少不必要的实时迁移，我们提出了一种通过资源使用预测来动态优化虚拟机布局的方法。该方法通过自回归模型来预测未来的资源使用情况。该方法通过求解具有预测资源使用量的装箱问题来确定虚拟机的布局。
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.