Method and apparatus for balancing thermal variations across a set of computer systems
    1.
    发明授权
    Method and apparatus for balancing thermal variations across a set of computer systems 有权
    用于平衡一组计算机系统的热变化的方法和装置

    公开(公告)号:US08684802B1

    公开(公告)日:2014-04-01

    申请号:US11588788

    申请日:2006-10-27

    IPC分类号: H05K7/20 G05B13/00

    CPC分类号: H05K7/20836 G06F1/206

    摘要: A system that balances thermal variations within a set of computer systems in a datacenter. During operation, the system obtains a thermal flux map for the set of computer systems. The system then analyzes the thermal flux map to determine whether imbalances exist in the thermal flux across the set of computer systems. If so, the system can adjust: (1) the scheduling of loads across the set of computer systems, and/or (2) air conditioning within the datacenter, so that the thermal flux is more balanced across the set of computer systems.

    摘要翻译: 一种平衡数据中心内的一组计算机系统内的热变化的系统。 在操作期间,系统获得该组计算机系统的热通量图。 然后,该系统分析热通量图,以确定跨越该组计算机系统的热通量中是否存在不平衡。 如果是这样,系统可以调整:(1)跨计算机系统集中的负载调度,和/或(2)数据中心内的空调,以使整个计算机系统的热通量更加平衡。

    Method and apparatus for generating a dynamic power-flux map for a set of computer systems
    3.
    发明授权
    Method and apparatus for generating a dynamic power-flux map for a set of computer systems 有权
    用于生成用于一组计算机系统的动态功率通量图的方法和装置

    公开(公告)号:US07549070B2

    公开(公告)日:2009-06-16

    申请号:US11479542

    申请日:2006-06-30

    IPC分类号: G06F1/32

    CPC分类号: G06F1/3209

    摘要: A system that generates a dynamic power-flux map for a set of computer systems. During operation the system determines the locations of the computer systems. Next, the system receives dynamic traces of power consumption for the computer systems, wherein a dynamic trace of power consumption for a given computer system is generated based on dynamic traces of monitored inferential variables for the given computer system. The system then correlates the locations of the computer systems with the dynamic traces of power consumption for the computer systems, and generates the dynamic power-flux map for the set of computer systems based on the correlated locations and the dynamic traces for the computer systems.

    摘要翻译: 一种为一组计算机系统生成动态功率通量图的系统。 在操作期间,系统确定计算机系统的位置。 接下来,系统接收计算机系统的功耗的动态跟踪,其中基于给定计算机系统的被监测的推理变量的动态跟踪来生成给定计算机系统的功率消耗的动态跟踪。 然后,该系统将计算机系统的位置与计算机系统的功耗的动态跟踪相关联,并且基于相关位置和计算机系统的动态轨迹生成用于该组计算机系统的动态功率通量图。

    Method and apparatus for generating a dynamic power-flux map for a set of computer systems
    5.
    发明申请
    Method and apparatus for generating a dynamic power-flux map for a set of computer systems 有权
    用于生成用于一组计算机系统的动态功率通量图的方法和装置

    公开(公告)号:US20080004837A1

    公开(公告)日:2008-01-03

    申请号:US11479542

    申请日:2006-06-30

    IPC分类号: G06F19/00 G05D11/00 G06F17/40

    CPC分类号: G06F1/3209

    摘要: A system that generates a dynamic power-flux map for a set of computer systems. During operation the system determines the locations of the computer systems. Next, the system receives dynamic traces of power consumption for the computer systems, wherein a dynamic trace of power consumption for a given computer system is generated based on dynamic traces of monitored inferential variables for the given computer system. The system then correlates the locations of the computer systems with the dynamic traces of power consumption for the computer systems, and generates the dynamic power-flux map for the set of computer systems based on the correlated locations and the dynamic traces for the computer systems.

    摘要翻译: 一种为一组计算机系统生成动态功率通量图的系统。 在操作期间,系统确定计算机系统的位置。 接下来,系统接收计算机系统的功耗的动态跟踪,其中基于给定计算机系统的被监测的推理变量的动态跟踪来生成给定计算机系统的功率消耗的动态跟踪。 然后,该系统将计算机系统的位置与计算机系统的功耗的动态跟踪相关联,并且基于相关位置和计算机系统的动态轨迹生成用于该组计算机系统的动态功率通量图。

    Characterizing a computer system using a pattern-recognition model
    6.
    发明授权
    Characterizing a computer system using a pattern-recognition model 有权
    使用模式识别模型来表征计算机系统

    公开(公告)号:US08150655B2

    公开(公告)日:2012-04-03

    申请号:US12240211

    申请日:2008-09-29

    IPC分类号: G06F11/30

    摘要: 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.

    摘要翻译: 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。

    Mitigating quantization effects in computer telemetry signals
    7.
    发明授权
    Mitigating quantization effects in computer telemetry signals 有权
    减轻计算机遥测信号中的量化效应

    公开(公告)号:US07912685B1

    公开(公告)日:2011-03-22

    申请号:US11656736

    申请日:2007-01-22

    IPC分类号: G06G7/48

    摘要: A system that mitigates quantization effects in quantized telemetry signals. During operation, the system monitors a set of quantized telemetry signals. For a given quantized telemetry signal in the set of quantized telemetry signals, the system uses a set of models to generate a set of estimates for the given quantized telemetry signal from the other monitored quantized telemetry signals, wherein each model in the set of models was initialized using a different randomly selected subset of a training dataset. The system then averages the set of estimates to produce an estimated signal for the given quantized telemetry signal.

    摘要翻译: 一种减轻量化遥测信号量化效应的系统。 在操作期间,系统监视一组量化遥测信号。 对于一组量化遥测信号中的给定的量化遥测信号,系统使用一组模型来生成来自其他监测的量化遥测信号的给定量化遥测信号的一组估计,其中该组模型中的每个模型为 使用训练数据集的不同随机选择的子集进行初始化。 然后,系统对该组估计值进行平均,以产生给定量化遥测信号的估计信号。

    Model-diversity technique for improved proactive fault monitoring
    8.
    发明授权
    Model-diversity technique for improved proactive fault monitoring 有权
    用于改进主动故障监测的模型分集技术

    公开(公告)号:US07840391B2

    公开(公告)日:2010-11-23

    申请号:US11871365

    申请日:2007-10-12

    IPC分类号: G06F17/50 G06F11/00

    CPC分类号: G06F11/008

    摘要: A computer system to predict a value of a signal from a sensor schedule loads across a set of processor cores is described. During operation, the computer system generates N models to predict the value of the signal based on a set of quantized telemetry signals, where a given model produces a value of the signal using a subset of the set of quantized telemetry signals, and where the subset is selected from the set of quantized telemetry signals based on an objective criterion. Next, the computer system predicts the value of the signal by aggregating the values produced by the N models.

    摘要翻译: 描述了一种用于预测来自传感器计划的信号的值在一组处理器核心之间的计算机系统。 在操作期间,计算机系统产生N个模型以基于一组量化遥测信号预测信号的值,其中给定模型使用量化的遥测信号集合的子集产生信号的值,并且其中子集 基于客观标准从该组量化遥测信号中选出。 接下来,计算机系统通过聚合由N个模型产生的值来预测信号的值。

    CHARACTERIZING A COMPUTER SYSTEM USING A PATTERN-RECOGNITION MODEL
    9.
    发明申请
    CHARACTERIZING A COMPUTER SYSTEM USING A PATTERN-RECOGNITION MODEL 有权
    使用模式识别模型表征计算机系统

    公开(公告)号:US20100082299A1

    公开(公告)日:2010-04-01

    申请号:US12240211

    申请日:2008-09-29

    IPC分类号: G06F15/00

    摘要: 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.

    摘要翻译: 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。

    Using a genetic technique to optimize a regression model used for proactive fault monitoring
    10.
    发明授权
    Using a genetic technique to optimize a regression model used for proactive fault monitoring 有权
    使用遗传技术优化用于主动故障监测的回归模型

    公开(公告)号:US07349823B2

    公开(公告)日:2008-03-25

    申请号:US11359672

    申请日:2006-02-22

    IPC分类号: G06F11/00

    CPC分类号: G06F11/0751 G06F11/0748

    摘要: Embodiments of the present invention provides a system that optimizes a regression model which predicts a signal as a function of a set of available signals. These embodiments use a genetic technique to optimize the regression model, which involves using a portion of the sample signals used to generate each parent regression model from a pair of best-fit parent regression models to generate a child regression model. In addition, in embodiments of the present invention, the system introduces “mutations” to the set of sample signals used to create the child regression model in an attempt to create more robust child regression models during the optimization process.

    摘要翻译: 本发明的实施例提供了一种优化回归模型的系统,该回归模型预测作为一组可用信号的函数的信号。 这些实施例使用遗传技术来优化回归模型,其包括使用用于从一对最佳拟合父回归模型生成每个父回归模型的样本信号的一部分以生成子回归模型。 此外,在本发明的实施例中,系统将“突变”引入用于创建儿童回归模型的样本信号集合,以在优化过程中创建更健壮的儿童回归模型。