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Consolidation of VMs to Improve Energy Efficiency in Cloud Computing Environments

机译:巩固VM以提高云计算环境中的能效

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Improvement of energy efficiency in IT is an important research topic nowadays. The reduction of operational costs, generated heat and environment impact are some of the reasons for this. Thanks to the advent of cloud computing, it is possible to improve energy efficiency in data centers by running various virtual machines in a single physical machine. However, the cloud providers generally invest in performance, not energy efficiency. This paper focuses on the problem of an energy efficient initial VM placement, and describes three new algorithms for this problem, one based on the First Fit Decreasing algorithm, and the other two based on the Best Fit Decreasing algorithm. They are compared with other algorithms in the literature, and a reduction of power consumption up to 3.24% was observed, as well a reduction of execution time in several orders of magnitude. Scripts used to analyze traces publicly provided by Google are another contribution of the paper, since they are useful for those working in mechanisms for cloud computing.
机译:在IT能源效率的提高是一个重要的研究课题时下。运营成本,产生的热量和环境的影响的减小是一些原因。由于云计算的出现,有可能通过在单个物理机器上运行的各种虚拟机,以提高在数据中心的能量效率。然而,云提供商通常投资于性能,而不是能源效率。本文重点介绍一种高效节能的初始虚拟机放置的问题,并介绍了针对此问题的三个新的算法,一个是基于第一嵌入降低算法和基于最佳适配降低算法对其他两个。它们与在文献中其它算法相比,观察到3.24%的还原功率消耗,以及减少的执行时间在几个数量级。用于分析由谷歌提供的公开痕迹脚本是本文的另一个贡献,因为它们是在云计算机制的工作是有用的。

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