A STUDY ON EXECUTION TIME FOR DATA ANALYSIS WITH PARALLEL VIRTUAL MACHINE

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  • 仮想並列計算機によるデータ解析の実行時間に関する考察
  • カソウ ヘイレツ ケイサンキ ニ ヨル データ カイセキ ノ ジッコウ ジカン ニ カンスル コウサツ

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Abstract

In this paper, we discuss a parallel execution about data analysis. Especially, we focus on the execution in parallel virtual computer consisted of many micro computers connected each other via network, because we can get this environment more easily than we get a super-computer. We have some simulations with the Bootstrap on PVM (Parallel Virtual Machine) environment, which is one of the popular software libraries to have some computers the virtual one, in order to investigate characteristics on execution time mainly. The parameters in the simulations are the number of Boostrap samples, the number of processors, calculation load in slave (expressed in a waiting time). The results show some important features and the relation between parameters and a round trip time, and we get a simple model with regression. This model is effective to consider execution time from an analysis on a virtual machine or how many personal computers we should prepare to analyze data in time, etc.

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