首页> 外文会议>Computer Measurement Group Conference(CMG 2005)vol.1; 20051204-09; Orlando,FL(US) >Using Principal Components for Performance Data Compression and Analysis
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Using Principal Components for Performance Data Compression and Analysis

机译:使用主要组件进行性能数据压缩和分析

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摘要

Modem performance monitoring tools allow the collecting of vast amount of metrics for many dozens or even hundreds of nodes. In most cases, there is neither the necessity nor a real opportunity to take into account all of the redundant measurements. In this paper we demonstrate how Principal Components Analysis (based on the correlation matrix) helps in the analysis of such multi-dimensional systems, and in particular, how it facilitates managing the collected data in a compressed form, without losing important information about the system.
机译:调制解调器性能监视工具允许为数十个甚至数百个节点收集大量指标。在大多数情况下,既没有必要也没有真正的机会考虑所有冗余测量。在本文中,我们演示了主成分分析(基于相关矩阵)如何帮助此类多维系统分析,尤其是如何在不丢失有关系统重要信息的情况下,帮助以压缩形式管理收集的数据。

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