Application-Aware Virtual Machine Placement in Data Centers

Fei Song, Daochao Huang, Huachun Zhou, I. You
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引用次数: 17

Abstract

Based on the convex optimization theory, the energy-efficient and scalability problems of modern data centers are studied. Then a novel application-aware virtual machine (VM) placement algorithm is proposed to cope with these problems. Firstly, the definition of VM placement fairness and utility function are given, and the basic algorithm of VM placement which fulfills server constraints of physical machines is con-ducted. Secondly, we formulate the VM placement as an optimization problem. A two-tier algorithm that efficiently solves the VM placement problem in large scale was designed. Comparing to existing methods, we illustrate the performance improvement such as reducing the number of physical machines efficiently, decreasing communication distance between VMs, improving energy-efficient and scalability of data centers.
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数据中心中应用感知的虚拟机布局
基于凸优化理论,研究了现代数据中心的节能和可扩展性问题。针对这些问题,提出了一种新的应用感知虚拟机(VM)布局算法。首先,给出了虚拟机放置公平性和效用函数的定义,给出了满足物理机服务器约束的虚拟机放置的基本算法;其次,我们将虚拟机放置表述为一个优化问题。设计了一种有效解决大规模虚拟机放置问题的两层算法。通过与现有方法的比较,说明了该方法在有效减少物理机数量、缩短虚拟机之间的通信距离、提高数据中心的能效和可扩展性等方面的性能改进。
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