Method and apparatus for generating an EMI fingerprint for a computer system
    11.
    发明申请
    Method and apparatus for generating an EMI fingerprint for a computer system 有权
    一种用于为计算机系统生成EMI指纹的方法和装置

    公开(公告)号:US20080252309A1

    公开(公告)日:2008-10-16

    申请号:US11787027

    申请日:2007-04-12

    IPC分类号: G01R31/302

    摘要: A system that generates an electromagnetic interference (EMI) fingerprint for a computer system is presented. During operation, the system executes a load script on the computer system, wherein the load script includes a specified sequence of operations. Next, the system receives EMI signals generated by the computer system while executing the load script. The system then generates the EMI fingerprint from the received EMI signals.

    摘要翻译: 提出了一种为计算机系统生成电磁干扰(EMI)指纹的系统。 在操作期间,系统在计算机系统上执行加载脚本,其中加载脚本包括指定的操作序列。 接下来,系统在执行加载脚本时接收由计算机系统生成的EMI信号。 然后系统从接收到的EMI信号中产生EMI指纹。

    Noise reduction technique for monitoring electromagnetic signals
    12.
    发明授权
    Noise reduction technique for monitoring electromagnetic signals 有权
    用于监控电磁信号的降噪技术

    公开(公告)号:US08244493B2

    公开(公告)日:2012-08-14

    申请号:US12494709

    申请日:2009-06-30

    IPC分类号: G01R23/00

    摘要: One embodiment provides a system that analyzes a target electromagnetic signal radiating from a monitored system. During operation, the system monitors the target electromagnetic signal using a set of antennas to obtain a set of received target electromagnetic signals from the monitored system. Next, the system calculates a weighted mean of the received target electromagnetic signals using a first pattern-recognition model. The system then subtracts the received target electromagnetic signals from the weighted mean of the received target electromagnetic signals to obtain a set of noise-reduced signals for the monitored system. Finally, the system assesses the integrity of the monitored system by analyzing the noise-reduced signals using a second pattern-recognition model.

    摘要翻译: 一个实施例提供了一种系统,其分析从受监视系统辐射的目标电磁信号。 在操作期间,系统使用一组天线监视目标电磁信号,以从被监视的系统获得一组接收到的目标电磁信号。 接下来,系统使用第一模式识别模型计算接收到的目标电磁信号的加权平均值。 然后,系统从接收的目标电磁信号的加权平均值中减去接收到的目标电磁信号,以获得被监视系统的一组降噪信号。 最后,系统通过使用第二模式识别模型分析降噪信号来评估监控系统的完整性。

    Characterizing a computer system using a pattern-recognition model
    13.
    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。

    Proactive detection of metal whiskers in computer systems
    14.
    发明授权
    Proactive detection of metal whiskers in computer systems 有权
    主动检测计算机系统中的金属晶须

    公开(公告)号:US08055594B2

    公开(公告)日:2011-11-08

    申请号:US11985288

    申请日:2007-11-13

    IPC分类号: G06F15/18

    摘要: One embodiment of the present invention provides a system that proactively monitors and detects metal whisker growth in a target area within a computer system. During operation, the system collects target electromagnetic interference (EMI) signals using one or more antennas positioned in the vicinity of the target area. Next, the system analyzes the target EMI signals to proactively detect the onset of metal whisker growth in the target area.

    摘要翻译: 本发明的一个实施例提供了一种主动监视和检测计算机系统内的目标区域中的金属晶须生长的系统。 在运行期间,系统使用位于目标区域附近的一个或多个天线收集目标电磁干扰(EMI)信号。 接下来,系统分析目标EMI信号,主动检测目标区域金属晶须生长的发生。

    Mitigating quantization effects in computer telemetry signals
    15.
    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
    16.
    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
    18.
    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。

    Generating synthetic workloads to measure power utilization in a computer system
    19.
    发明申请
    Generating synthetic workloads to measure power utilization in a computer system 有权
    生成综合工作负载以测量计算机系统中的功率利用率

    公开(公告)号:US20080228462A1

    公开(公告)日:2008-09-18

    申请号:US11725006

    申请日:2007-03-15

    IPC分类号: G06F9/45 G06F11/30

    摘要: One embodiment of the present invention provides a system that generates a synthetic workload to test power utilization in a computer system. During operation, the system monitors power utilization of a reference computer system while the reference computer system executes a workload-of interest, wherein the monitoring process produces a power profile. Next, the system determines characteristics of the workload-of-interest from the power profile. Finally, the system uses the determined characteristics to construct the synthetic workload, wherein the synthetic workload has similar power utilization to the workload-of-interest.

    摘要翻译: 本发明的一个实施例提供一种生成综合工作量以测试计算机系统中的功率利用的系统。 在操作期间,系统监视参考计算机系统的功率利用,同时参考计算机系统执行感兴趣的工作负荷,其中监视过程产生功率分布。 接下来,系统从功率分布确定感兴趣的工作负荷的特性。 最后,系统使用确定的特征来构建合成工作负载,其中合成工作负载具有与利益的工作量相似的功率利用率。

    Using a genetic technique to optimize a regression model used for proactive fault monitoring
    20.
    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。