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    • 10. 发明授权
    • Characterizing a computer system using a pattern-recognition model
    • 使用模式识别模型来表征计算机系统
    • US08150655B2
    • 2012-04-03
    • US12240211
    • 2008-09-29
    • Ramakrishna C. DhanekulaKeith A. WhisnantKenny C. Gross
    • Ramakrishna C. DhanekulaKeith A. WhisnantKenny C. Gross
    • G06F11/30
    • G06F1/206G06F11/0706G06F11/0751G06F11/3428G06F11/3476
    • Some embodiments of the present invention provide a system that characterizes a computer system using a pattern-recognition model. First, values for an environmental parameter are monitored from a set of sensors associated with the computer system. Then, a baseline for the environmental parameter is calculated based on the monitored values from a subset of the set of sensors. Next, the baseline is subtracted from the monitored values from sensors in the set of sensors to produce compensated values. Then, the compensated values are used as inputs to the pattern-recognition model, which produces estimates for the compensated values based on correlations between the compensated values learned during a training phase. Next, residuals are calculated by subtracting the estimates for the compensated values from the compensated values. Then, the residuals are analyzed to characterize the computer system.
    • 本发明的一些实施例提供一种表征使用模式识别模型的计算机系统的系统。 首先,从与计算机系统相关联的一组传感器监测环境参数的值。 然后,基于来自传感器组的子集的监视值来计算环境参数的基线。 接下来,从传感器组中的传感器的监视值中减去基线,以产生补偿值。 然后,补偿值被用作模式识别模型的输入,其基于在训练阶段期间学习的补偿值之间的相关性而产生对补偿值的估计。 接下来,通过从补偿值中减去补偿值的估计值来计算残差。 然后,分析残差以表征计算机系统。