云数据中心中虚拟机放置的高效算法

Hui Tian, Jiahuai Wu, Hong Shen
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引用次数: 10

摘要

摘要:虚拟机(VM)布局问题是云数据中心资源优化利用中的一个主要问题。随着云计算的快速发展,需要高效的算法来降低数据中心的功耗和节能。许多模型和算法的设计目标都是最小化云数据中心中使用的物理机器(pm)的数量。在本文中,我们考虑到PM的执行时间,提出了一个新的VM放置优化问题,以最小化PM的总执行时间为目标。我们讨论了问题的np -硬度,并提出了启发式算法来解决离线和在线场景下的问题。此外,我们进行了实验来评估所提出的算法的性能,结果表明我们的方法能够比其他常用算法表现得更好。
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Efficient Algorithms for VM Placement in Cloud Data Centers
Abstract--- The virtual machine (VM) placement problem is a major issue in optimizing resource ulitization of cloud data centers. With the rapid development of cloud computing, efficient algorithms are needed to reduce the power consumption and save energy in data centers. Many models and algorithms are designed with a objective to minimize the number of physical machines (PMs) used in a cloud data center. In this paper, we take into account the execution time of the PM, and formulat a new optimization problem of VM placement, which aims to minimize the total execution time of the PMs. We discuss the NP-hardness of the problem, and present heuristic algorithms to solve it in both offline and online scenarios. Furthermore, we conduct experiments to evaluate the performance of the proposed algorithms and the result show that our methods are able to perform better than other commonly used algorithms.
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