Method and apparatus for high-sensitivity detection of anomalous signals in systems with low-resolution sensors
    71.
    发明授权
    Method and apparatus for high-sensitivity detection of anomalous signals in systems with low-resolution sensors 有权
    用于低分辨率传感器系统中高灵敏度检测异常信号的方法和装置

    公开(公告)号:US07167812B1

    公开(公告)日:2007-01-23

    申请号:US10903160

    申请日:2004-07-29

    IPC分类号: H04N1/60

    摘要: A system that facilitates high-sensitivity detection of anomalous signals in systems with low-resolution sensors. During system operation, a low-resolution sensor monitors a signal within the system. The system periodically polls the low-resolution sensor in a burst mode to obtain a plurality of measurements of the signal within a specified short time interval, wherein the measurements are spread across multiple quantizing bins. The system then determines a mean value for the plurality of measurements. The system repeats the steps of polling the low-resolution sensor and determining the mean value to create a time-series of mean values. This time-series of mean values is subsequently analyzed to determine whether the signal is anomalous.

    摘要翻译: 一种能够在低分辨率传感器系统中高灵敏度检测异常信号的系统。 在系统运行期间,低分辨率传感器监测系统内的信号。 系统以突发模式定期轮询低分辨率传感器,以在特定的短时间间隔内获得信号的多个测量,其中测量分布在多个量化箱上。 系统然后确定多个测量的平均值。 该系统重复轮询低分辨率传感器并确定平均值以创建平均值的时间序列的步骤。 随后分析该时间序列的平均值以确定信号是否是异常的。

    Computer component detection system and method
    72.
    发明授权
    Computer component detection system and method 有权
    计算机部件检测系统及方法

    公开(公告)号:US08762080B2

    公开(公告)日:2014-06-24

    申请号:US12971346

    申请日:2010-12-17

    IPC分类号: G06F17/18 G06F11/00

    CPC分类号: G06F11/3051 G06F11/3058

    摘要: A method for identifying missing components of a computer system may include receiving telemetry signals characterizing a current configuration of the computer system and determining a cross power spectral density signature of at least some of the telemetry signals. The method may further include comparing information about the determined cross power spectral density signature with information about a predetermined cross power spectral density signature to determine whether a component is missing within the computer system.

    摘要翻译: 用于识别计算机系统的缺失组件的方法可以包括接收表征计算机系统的当前配置的遥测信号,并确定至少一些遥测信号的交叉功率谱密度签名。 该方法还可以包括将关于所确定的交叉功率谱密度签名的信息与关于预定交叉功率谱密度签名的信息进行比较,以确定组件是否在计算机系统内丢失。

    Inferring the altitude of computing devices using multivariate pattern recognition of telemetry signals
    73.
    发明授权
    Inferring the altitude of computing devices using multivariate pattern recognition of telemetry signals 有权
    使用遥测信号的多变量模式识别来推算计算设备的高度

    公开(公告)号:US07801650B2

    公开(公告)日:2010-09-21

    申请号:US11521752

    申请日:2006-09-15

    IPC分类号: G06F19/00

    CPC分类号: G01C5/00 G06F11/3058

    摘要: A method for inferring an altitude of a computing device, involving monitoring variable data associated with a plurality of variables measured within the computing device, inferring the altitude of the computing device using the measured plurality of variables in a multivariate correlation function, and controlling operation of the computing device based on the inferred altitude.

    摘要翻译: 一种用于推断计算设备的高度的方法,包括监视与所述计算设备内测量的多个变量相关联的可变数据,使用所述多元相关函数中所测量的多个变量来推断所述计算设备的高度,以及控制 计算设备基于推测的高度。

    Method and apparatus for reducing execution time for parallel support vector machine computations
    74.
    发明申请
    Method and apparatus for reducing execution time for parallel support vector machine computations 有权
    用于减少并行支持向量机计算执行时间的方法和装置

    公开(公告)号:US20070179927A1

    公开(公告)日:2007-08-02

    申请号:US11341000

    申请日:2006-01-27

    IPC分类号: G06F17/30

    CPC分类号: G06K9/6269 G06K9/00973

    摘要: A system that reduces execution time of a parallel SVM application. During operation, the system partitions an input data set into chunks of data. Next, the system distributes the partitioned chunks of data across a plurality of available computing nodes and executes the parallel SVM application on the chunks of data in parallel across the plurality of available computing nodes. The system then determines if a first timeout period has been exceeded before all of the plurality of available computing nodes have finished processing their respective chunks of data. If so, the system (1) repartitions the input data set into different chunks of data; (2) redistributes the repartitioned chunks of data across some or all of the plurality of available computing nodes; and (3) executes the parallel SVM application on the repartitioned chunks of data in parallel across some or all of the available computing nodes.

    摘要翻译: 一种减少并行SVM应用程序执行时间的系统。 在操作期间,系统将输入数据集划分成数据块。 接下来,系统在多个可用计算节点之间分配分割的数据块,并且跨多个可用计算节点并行地在数据块上执行并行SVM应用。 系统然后确定在所有多个可用计算节点已经完成处理其各自的数据块之前是否已经超过第一超时时段。 如果是这样,系统(1)将输入数据集重新分配成不同的数据块; (2)将重新分配的数据块重新分配到多个可用计算节点的某些或全部; 和(3)在重新分配的数据块上并行地跨部分或全部可用计算节点执行并行SVM应用。

    COMPUTER COMPONENT DETECTION SYSTEM AND METHOD
    75.
    发明申请
    COMPUTER COMPONENT DETECTION SYSTEM AND METHOD 有权
    计算机组件检测系统及方法

    公开(公告)号:US20120158326A1

    公开(公告)日:2012-06-21

    申请号:US12971346

    申请日:2010-12-17

    IPC分类号: G06F19/00 G01R21/00

    CPC分类号: G06F11/3051 G06F11/3058

    摘要: A method for identifying missing components of a computer system may include receiving telemetry signals characterizing a current configuration of the computer system and determining a cross power spectral density signature of at least some of the telemetry signals. The method may further include comparing information about the determined cross power spectral density signature with information about a predetermined cross power spectral density signature to determine whether a component is missing within the computer system.

    摘要翻译: 用于识别计算机系统的缺失组件的方法可以包括接收表征计算机系统的当前配置的遥测信号,并确定至少一些遥测信号的交叉功率谱密度签名。 该方法还可以包括将关于所确定的交叉功率谱密度签名的信息与关于预定交叉功率谱密度签名的信息进行比较,以确定组件是否在计算机系统内丢失。

    Inferring the altitude of computing devices using multivariate pattern recognition of telemetry signals
    77.
    发明申请
    Inferring the altitude of computing devices using multivariate pattern recognition of telemetry signals 有权
    使用遥测信号的多变量模式识别推算计算设备的高度

    公开(公告)号:US20080071433A1

    公开(公告)日:2008-03-20

    申请号:US11521752

    申请日:2006-09-15

    IPC分类号: G06F19/00

    CPC分类号: G01C5/00 G06F11/3058

    摘要: A method for inferring an altitude of a computing device, involving monitoring variable data associated with a plurality of variables measured within the computing device, inferring the altitude of the computing device using the measured plurality of variables in a multivariate correlation function, and controlling operation of the computing device based on the inferred altitude.

    摘要翻译: 一种用于推断计算设备的高度的方法,包括监视与所述计算设备内测量的多个变量相关联的可变数据,使用所述多元相关函数中所测量的多个变量来推断所述计算设备的高度,以及控制 计算设备基于推测的高度。

    System and method for campaign planning
    78.
    发明授权
    System and method for campaign planning 有权
    竞选策划的制度和方法

    公开(公告)号:US06560502B1

    公开(公告)日:2003-05-06

    申请号:US09895528

    申请日:2001-06-28

    IPC分类号: G05B1942

    摘要: A system (100) for campaign planning includes a memory (106) operable to store at least two slab values (132) for each of a plurality of slabs (108). The slab values (132) for a slab are associated with at least two properties of the slab (108). The memory (106) is also operable to store at least one preference value (142) identifying a relative importance between the properties of the slabs (108). The system (100) also includes one or more processors (128) collectively operable to generate a sort value (400) for each of the slabs (108). The sort value (400) depends at least partially on the slab value (132) associated with the slab (108) and the preference value (142). The processor (128) is also operable to allocate the slabs (108) to a plurality of rounds (200) in a campaign (250). The slabs (108) are allocated in an order depending at least partially on the sort values (400) associated with the slabs (108).

    摘要翻译: 用于活动规划的系统(100)包括可存储用于多个平板(108)中的每一个的至少两个平板值(132)的存储器(106)。 板坯的板坯值(132)与板坯(108)的至少两个特性相关联。 存储器(106)还可操作以存储标识板坯属性(108)之间的相对重要性的至少一个偏好值(142)。 系统(100)还包括一个或多个处理器(128),其可共同操作以产生每个板坯(108)的分类值(400)。 排序值(400)至少部分地取决于与板坯(108)和偏好值(142)相关联的板坯值(132)。 处理器(128)还可操作以将平板(108)分配到活动(250)中的多个轮(200)。 至少部分地基于与板坯(108)相关联的排序值(400),按顺序分配板坯(108)。

    System and method for controlling energy usage in a server
    79.
    发明授权
    System and method for controlling energy usage in a server 有权
    控制服务器能耗的系统和方法

    公开(公告)号:US09360914B2

    公开(公告)日:2016-06-07

    申请号:US12685841

    申请日:2010-01-12

    IPC分类号: G06F1/00 G06F1/32 H05K7/14

    摘要: A system for controlling energy usage in a server having a processor, where the system includes a memory for storing energy cost information, and a controller for determining a transaction rate for the processor. The controller is also for determining a cumulative of energy expended by the server based on the determined transaction rate for each of a number of available power level states (P-states) for operation of the processor, and for selecting one of the available P-states for operation of the processor based on the determined cumulative energy expended and the stored energy cost information.

    摘要翻译: 一种用于控制具有处理器的服务器中的能量使用的系统,其中所述系统包括用于存储能量成本信息的存储器,以及用于确定处理器的交易速率的控制器。 控制器还用于基于用于处理器的操作的多个可用功率电平状态(P状态)中的每个状态的确定的事务速率来确定由服务器消耗的能量的累积,并且用于选择可用P- 基于所确定的消耗的累积能量和存储的能量成本信息来处理处理器的状态。

    LOW-OVERHEAD RUN-TIME MEMORY LEAK DETECTION AND RECOVERY
    80.
    发明申请
    LOW-OVERHEAD RUN-TIME MEMORY LEAK DETECTION AND RECOVERY 有权
    LOW-OVERHEAD运行时记忆泄漏检测和恢复

    公开(公告)号:US20110252276A1

    公开(公告)日:2011-10-13

    申请号:US13165482

    申请日:2011-06-21

    IPC分类号: G06F11/07

    摘要: Leaked memory in a computer system is detected and recovered by first detecting memory leakage within the computer system based on nonlinear and non-parametric time-series regression analysis of software telemetry data generated by one or more software process running on the computer system. If existence of memory leakage is detected, then memory that has leaked is specifically identified and recovered. This is done by halting one or more of the software processes, generating a core image file or files of the halted software process(es), and re-starting the halted process or processes without waiting for analysis of the core image file(s). Then, the core image file is evaluated to specifically identify leaked memory in the computer system based on the core image file. Finally, the identified leaked memory is recovered.

    摘要翻译: 基于在计算机系统上运行的一个或多个软件进程产生的软件遥测数据的非线性和非参数时间序列回归分析,首先检测计算机系统内的存储器泄漏来检测和恢复计算机系统中的泄漏存储器。 如果检测到内存泄漏的存在,则会特别识别和恢复已泄漏的内存。 这是通过停止一个或多个软件进程,生成核心映像文件或停止的软件进程的文件,以及重新启动暂停的进程或进程,而不必等待核心映像文件的分析, 。 然后,核心图像文件被评估为基于核心图像文件专门识别计算机系统中的泄漏存储器。 最后,识别的泄漏的内存被恢复。