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An algorithm to optimise the energy distribution of data centre electrical infrastructures

机译:一种优化数据中心电力基础设施能量分布的算法

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For the overriding need of storing all the data that is produced by social networks, the increase in energy consumption by e-commerce and cloud computing demands critical attention. Parallel to this surge in the use of electricity there is a long held hope for a reduction in both financial and environmental costs. What is presented here, in order to optimise energy distribution infrastructures at the data centre, is the power-balancing algorithm (PLDA-D). In order to analyse energy flow models (EFMs), the PLDA-D bases itself on the Bellman and Ford-Fulkerson flow algorithms. Power efficiency, sustainability, and cost metrics of data centre infrastructures constitute the elements for EFM computation. The case study that follows analysed four power infrastructures to demonstrate practical applications for power reduction strategies. A 3.8% reduction in sustainability impact and operational costs is shown by the results obtained.
机译:为了存储社交网络产生的所有数据的推翻需要,电子商务和云计算的能耗的增加需要批判性注意。与电力使用的这种浪涌平行,有一个长期以来的希望减少金融和环境成本。这里介绍的是,为了优化数据中心的能量分配基础设施,是电力平衡算法(PLDA-D)。为了分析能量流模型(EFMS),PLDA-D基于Bellman和Ford-Fulkerson流程算法基础。数据中心基础架构的功率效率,可持续性和成本指标构成了EFM计算的元素。案例研究分析了四种电力基础设施,以证明减少功率降低策略的实际应用。获得的可持续性影响和运营成本减少了3.8%。

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