专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

71. 发明授权

US07610173B2 Technique for resolving “no-trouble-found” (NTF) events in electronic systems 有权
标题翻译：解决电子系统“无故障”（NTF）事件的技术
公开(公告)号：US07610173B2
公开(公告)日：2009-10-27
申请号：US11876446
申请日：2007-10-22
申请人： Kenny C. Gross , Keith A. Whisnant
发明人： Kenny C. Gross , Keith A. Whisnant
IPC分类号： G06F11/30 , G21C17/00
CPC分类号： G06F11/263
摘要： A system that diagnoses a failure in a computer system is described. During operation, the system tests the computer system using a sequence of tests, where a given test includes a given load associated with a pre-determined failure mechanism for a given failure condition. During the given test, the system obtains results, which include telemetry signals that are monitored within the computer system. If the results indicate the given failure condition, the system ceases the testing and indicates that the computer system has the given failure condition. Otherwise, the system continues the sequence of tests until the sequence is completed, at which point, if no fault has been detected, the system indicates that a no-trouble-found (NTF) condition exists.
摘要翻译：描述了诊断计算机系统故障的系统。在操作期间，系统使用一系列测试来测试计算机系统，其中给定测试包括与给定故障条件的预定故障机制相关联的给定负载。在给定测试期间，系统获得结果，其中包括在计算机系统内监控的遥测信号。如果结果表明给定的故障条件，系统将停止测试，并指示计算机系统具有给定的故障条件。否则，系统继续测试序列，直到序列完成，此时如果没有检测到故障，则系统指示存在无故障发现（NTF）条件。

72. 发明申请

US20090067080A1 SELECTIVELY MITIGATING MULTIPLE VIBRATION SOURCES IN A COMPUTER SYSTEM 有权
标题翻译：在计算机系统中选择性地减轻多个振动源
公开(公告)号：US20090067080A1
公开(公告)日：2009-03-12
申请号：US11852059
申请日：2007-09-07
申请人： Kenny C. Gross , Aleksey M. Urmanov , Kalyanaraman Vaidyanathan
发明人： Kenny C. Gross , Aleksey M. Urmanov , Kalyanaraman Vaidyanathan
IPC分类号： G11B15/18
CPC分类号： G11B33/08
摘要： One embodiment of the present invention provides a system that mitigates the effects of multiple vibration sources on a set of hard disk drives (HDDs) within a computer system. During operation, the system identifies a target HDD in the set of HDDs, wherein the performance of the target HDD is affected by mechanical vibrations. The system also identifies one or more primary vibration sources from the multiple vibration sources that affect the performance of the target HDD. Next, for each of the primary vibration sources, the system measures a first time-domain signal associated with the operation of the primary vibration source using a first vibration transducer associated with the primary vibration source. The system also measures a second time-domain signal associated with the target HDD using a second vibration transducer associated with the target HDD. Next, for each of the primary vibration sources, the system then computes a cross-power-spectral-density (CPSD) between the first and the second time-domain signals. The system then selectively mitigates the primary vibration sources based on the CPSDs between the primary vibration sources and the target HDD.
摘要翻译：本发明的一个实施例提供一种减轻多个振动源对计算机系统内的一组硬盘驱动器（HDD）的影响的系统。在操作期间，系统识别该组HDD中的目标HDD，其中目标HDD的性能受到机械振动的影响。该系统还识别影响目标HDD性能的多个振动源的一个或多个主要振动源。接下来，对于每个主振动源，系统使用与主振动源相关联的第一振动换能器来测量与主振动源的操作相关联的第一时域信号。该系统还使用与目标HDD相关联的第二振动传感器来测量与目标HDD相关联的第二时域信号。接下来，对于每个主振动源，系统然后计算第一和第二时域信号之间的交叉功率谱密度（CPSD）。然后，该系统基于主振动源和目标HDD之间的CPSD选择性地减轻主振动源。

73. 发明申请

US20090015241A1 METHOD AND APPARATUS FOR SENSING AND CONTROLLING FAN SPEED 有权
标题翻译：用于感应和控制风扇速度的方法和装置
公开(公告)号：US20090015241A1
公开(公告)日：2009-01-15
申请号：US11776715
申请日：2007-07-12
申请人： Kenny C. Gross , Aleksey M. Urmanov
发明人： Kenny C. Gross , Aleksey M. Urmanov
IPC分类号： G01P3/48
CPC分类号： G01P3/48
摘要： One embodiment of the present invention provides a system that determines fan speeds for a set of fans in a computer system. During operation, the system receives time-series data collected by a vibration transducer associated with the computer system, wherein the vibration transducer is configured to record mechanical vibrations from the set of fans. Next, the system performs a spectral analysis on the time-series data to obtain frequency peaks associated with fan speeds for individual fans in the set of fans. The system then identifies fan speeds for the individual fans in the set of fans from the frequency peaks.
摘要翻译：本发明的一个实施例提供一种确定计算机系统中的一组风扇的风扇速度的系统。在操作期间，系统接收由与计算机系统相关联的振动传感器收集的时间序列数据，其中振动传感器被配置为记录来自该组风扇的机械振动。接下来，系统对时间序列数据进行频谱分析，以获得与该组风扇中的各个风扇相关联的风扇速度的频率峰值。系统然后从频率峰值中识别该组风扇中的各个风扇的风扇速度。

74. 发明授权

US07475047B1 Parallel grouping decomposition for fast training of large-scale support vector machines 有权
标题翻译：用于大规模支持向量机的快速训练的并行分组分解
公开(公告)号：US07475047B1
公开(公告)日：2009-01-06
申请号：US11081983
申请日：2005-03-16
申请人： Aleksey M. Urmanov , Anton A. Bougaev , Kenny C. Gross
发明人： Aleksey M. Urmanov , Anton A. Bougaev , Kenny C. Gross
IPC分类号： G06F15/18
CPC分类号： G06K9/6269 , G06N99/005 , Y10S706/924
摘要： One embodiment of the present invention provides a system that performs parallel grouping decomposition to facilitate expedited training of a support vector machine (SVM). During operation, the system receives a training dataset comprised of data vectors. The system then determines whether any data vector in the dataset violates conditions associated with a current SVM. Next, the system divides the violating data vectors into a number of subsets, thereby allowing parallel SVM training for each subset. The system subsequently builds an independent SVM for each subset in parallel based on the current SVM. The system then constructs a new SVM to replace the current SVM based on the SVMs built for each subset of violating data vectors.
摘要翻译：本发明的一个实施例提供一种执行并行分组分解以促进支持向量机（SVM）的加速训练的系统。在操作期间，系统接收由数据向量组成的训练数据集。然后，系统确定数据集中的任何数据向量是否违反与当前SVM相关联的条件。接下来，系统将违规数据向量划分成多个子集，从而允许每个子集的并行SVM训练。该系统随后基于当前SVM并行构建每个子集的独立SVM。然后，该系统构建新的SVM，以基于针对违规数据向量的每个子集构建的SVM来替换当前SVM。

75. 发明授权

US07447957B1 Dynamic soft-error-rate discrimination via in-situ self-sensing coupled with parity-space detection 有权
标题翻译：通过原位自感耦合奇偶校验空间检测的动态软错误率鉴别
公开(公告)号：US07447957B1
公开(公告)日：2008-11-04
申请号：US11194955
申请日：2005-08-01
申请人： John J. Cooley , Kenny C. Gross , Aleksey M. Urmanov
发明人： John J. Cooley , Kenny C. Gross , Aleksey M. Urmanov
IPC分类号： G11C29/00
CPC分类号： G11C29/56 , G06F11/1012 , G11C29/56008 , G11C2029/0409 , G11C2029/0411
摘要： A system that facilitates distinguishing between soft errors and the onset of hardware degradation in a computer system. During operation, the system receives notifications of correctable-error events from a plurality of memory components. The system then averages numbers of correctable-error events from the plurality of memory components to generate an average number of correctable-error events across the plurality of memory components. The system subtracts the number of correctable-error events for a given memory component in a given time interval from the average number of correctable-error events to generate a residual number of correctable-error events for the given memory component in the given time interval.
摘要翻译：一种有助于区分软错误和计算机系统硬件退化开始的系统。在操作期间，系统从多个存储器组件接收可纠正错误事件的通知。然后，该系统平均来自多个存储器组件的可纠正错误事件的数量，以在多个存储器组件之间生成平均数量的可校正错误事件。该系统在给定的时间间隔内从给定的时间间隔的平均数量减去给定存储器组件的可纠正错误事件的数量，以产生给定存储器组件的残留数量的可校正错误事件。

76. 发明申请

US20080255819A1 High-accuracy virtual sensors for computer systems 有权
标题翻译：用于计算机系统的高精度虚拟传感器
公开(公告)号：US20080255819A1
公开(公告)日：2008-10-16
申请号：US11787604
申请日：2007-04-16
申请人： Kenny C. Gross , John J. Cooley , Aleksey M. Urmanov
发明人： Kenny C. Gross , John J. Cooley , Aleksey M. Urmanov
IPC分类号： G06F17/10 , G06G7/62
CPC分类号： G06F11/008
摘要： Embodiments of the present invention provide a system that estimates the value of a virtual sensor. The system first samples values for performance metrics using external sensors that are coupled to a system and internal sensors that are built into the system. Next, the system generates an inferential sensing model for the system from the sampled values. Then, during operation, the system samples values of performance metrics using the internal sensors and uses the inferential sensing model and the sampled values from the internal sensors to estimate the values of performance metrics for removed external sensors (i.e., virtual sensors).
摘要翻译：本发明的实施例提供一种估计虚拟传感器的值的系统。系统首先使用耦合到系统的外部传感器和内置于系统中的内部传感器对性能指标进行采样。接下来，系统从采样值生成用于系统的推理感知模型。然后，在运行期间，系统使用内部传感器对性能指标值进行采样，并使用推理感应模型和来自内部传感器的采样值来估计去除的外部传感器（即虚拟传感器）的性能指标值。

77. 发明申请

US20080228462A1 Generating synthetic workloads to measure power utilization in a computer system 有权
标题翻译：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
申请人： Kenny C. Gross , Ramakrishna C. Dhanekula , Kalyanaraman Vaidyanathan
发明人： Kenny C. Gross , Ramakrishna C. Dhanekula , Kalyanaraman Vaidyanathan
IPC分类号： G06F9/45 , G06F11/30
CPC分类号： G06F11/30 , G01R21/133 , G06F11/3414 , Y02D10/34
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。

78. 发明授权

US07391835B1 Optimizing synchronization between monitored computer system signals 有权
标题翻译：优化监控的计算机系统信号之间的同步
公开(公告)号：US07391835B1
公开(公告)日：2008-06-24
申请号：US10955195
申请日：2004-09-29
申请人： Kenny C. Gross , Yujuan Bao
发明人： Kenny C. Gross , Yujuan Bao
IPC分类号： H04L7/00
CPC分类号： G06F11/2294
摘要： One embodiment of the present invention provides a system that optimizes synchronization between monitored signals in a computer system. During operation, the system receives a number of monitored signals. The system then forms a number of signal pairs by grouping each signal with every other signal. Next, the system optimizes synchronization between the signals by iteratively perturbing the timing of each signal in an attempt to increase the value of an objective function which reflects the overall synchronization between all the signals.
摘要翻译：本发明的一个实施例提供了一种优化计算机系统中监视的信号之间的同步的系统。在操作期间，系统接收到多个监视信号。然后，系统通过将每个信号与每个其他信号分组来形成多个信号对。接下来，系统通过迭代地扰乱每个信号的定时来优化信号之间的同步，以试图增加反映所有信号之间的整体同步的目标函数的值。

79. 发明授权

US07349823B2 Using a genetic technique to optimize a regression model used for proactive fault monitoring 有权
标题翻译：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
申请人： Keith A. Whisnant , Ramakrishna C. Dhanekula , Kenny C. Gross
发明人： Keith A. Whisnant , Ramakrishna C. Dhanekula , Kenny C. Gross
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。

80. 发明申请

US20080001776A1 Method and apparatus for camouflaging business-activity information in a telemetry signal 有权
标题翻译：在遥测信号中伪装业务活动信息的方法和装置
公开(公告)号：US20080001776A1
公开(公告)日：2008-01-03
申请号：US11471203
申请日：2006-06-20
申请人： Kenny C. Gross , Jon D. Greaves , Keith A. Whisnant
发明人： Kenny C. Gross , Jon D. Greaves , Keith A. Whisnant
IPC分类号： G08C19/16
CPC分类号： H04Q9/00
摘要： One embodiment of the present invention provides a system that camouflages business-activity information in telemetry signals from a computer system. During operation, the system monitors telemetry signals from the computer system to obtain a time series containing a telemetry metric which provides business-activity information. Next, for each telemetry-metric value contained in the time series, the system compares the telemetry-metric value with a predetermined threshold level. If the telemetry-metric value is below the predetermined threshold level, the system then generates artificial activity associated with the telemetry metric in the computer system, so that the artificial activity causes the telemetry-metric value to exceed the predetermined threshold level.
摘要翻译：本发明的一个实施例提供一种从计算机系统伪装遥测信号中的业务活动信息的系统。在操作期间，系统监视来自计算机系统的遥测信号，以获得包含提供业务活动信息的遥测度量的时间序列。接下来，对于包含在时间序列中的每个遥测度量值，系统将遥测度量值与预定阈值水平进行比较。如果遥测度量值低于预定阈值水平，则系统然后产生与计算机系统中的遥测度量相关联的人为活动，使得人为活动导致遥测度量值超过预定阈值水平。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式