Cloud anomaly detection using normalization, binning and entropy determination
    2.
    发明授权
    Cloud anomaly detection using normalization, binning and entropy determination 有权
    使用归一化,binning和熵确定的云异常检测

    公开(公告)号:US08843422B2

    公开(公告)日:2014-09-23

    申请号:US13386771

    申请日:2010-03-31

    CPC classification number: G06F21/552

    Abstract: Illustrated is a system and method for anomaly detection in data centers and across utility clouds using an Entropy-based Anomaly Testing (EbAT), the system and method including normalizing sample data through transforming the sample data into a normalized value that is based, in part, on an identified average value for the sample data. Further, the system and method includes binning the normalized value through transforming the normalized value into a binned value that is based, in part, on a predefined value range for a bin such that a bin value, within the predefined value range, exists for the sample data. Additionally, the system and method includes identifying at least one vector value from the binned value. The system and method also includes generating an entropy time series through transforming the at least one vector value into an entropy value to be displayed as part of a look-back window.

    Abstract translation: 说明了使用基于熵的异常测试(EbAT)的数据中心和跨公用云进行异常检测的系统和方法,该系统和方法包括通过将样本数据转换为归一化值来对样本数据进行归一化,该归一化值部分地基于 对于样本数据的确定的平均值。 此外,该系统和方法包括通过将归一化值变换为部分地基于一个箱的预定值范围的箱体值来对归一化值进行合并,使得存在预定义值范围内的仓值用于 样本数据。 另外,该系统和方法包括从二进制值中识别至少一个向量值。 该系统和方法还包括通过将至少一个矢量值变换为熵值来生成熵时间序列,以作为回溯窗口的一部分显示。

    CLOUD ANOMALY DETECTION USING NORMALIZATION, BINNING AND ENTROPY DETERMINATION
    3.
    发明申请
    CLOUD ANOMALY DETECTION USING NORMALIZATION, BINNING AND ENTROPY DETERMINATION 有权
    使用正则化,绑定和入侵判定的云异常检测

    公开(公告)号:US20120136909A1

    公开(公告)日:2012-05-31

    申请号:US13386771

    申请日:2010-03-31

    CPC classification number: G06F21/552

    Abstract: Illustrated is a system and method for anomaly detection in data centers and across utility clouds using an Entropy-based Anomaly Testing (EbAT), the system and method including normalizing sample data through transforming the sample data into a normalized value that is based, in part, on an identified average value for the sample data. Further, the system and method includes binning the normalized value through transforming the normalized value into a binned value that is based, in part, on a predefined value range for a bin such that a bin value, within the predefined value range, exists for the sample data. Additionally, the system and method includes identifying at least one vector value from the binned value. The system and method also includes generating an entropy time series through transforming the at least one vector value into an entropy value to be displayed as part of a look-back window.

    Abstract translation: 说明了使用基于熵的异常测试(EbAT)的数据中心和跨公用云进行异常检测的系统和方法,该系统和方法包括通过将样本数据转换为归一化值来对样本数据进行归一化,该归一化值部分地基于 对于样本数据的确定的平均值。 此外,该系统和方法包括通过将归一化值变换为部分地基于一个箱的预定值范围的箱体值来对归一化值进行合并,使得存在预定义值范围内的仓值用于 样本数据。 另外,该系统和方法包括从二进制值中识别至少一个向量值。 该系统和方法还包括通过将至少一个矢量值变换为熵值来生成熵时间序列,以作为回溯窗口的一部分显示。

    Light tracking sensor and sunlight tracking system thereof
    4.
    发明授权
    Light tracking sensor and sunlight tracking system thereof 有权
    光跟踪传感器及其太阳跟踪系统

    公开(公告)号:US08115151B2

    公开(公告)日:2012-02-14

    申请号:US11921691

    申请日:2005-06-27

    Applicant: Chengwei Wang

    Inventor: Chengwei Wang

    CPC classification number: G01S3/7861 F24S50/20 Y02E10/47

    Abstract: A light tracking sensor and a sunlight tracking system including the same, the light tracking sensor comprises two or more light tunnel devices. One end of the respective light tunnel devices form a common single-point micro-hole acting as an input port for directional light, the other ends of the light tunnel devices act as output ports for directional light and is provided with light-sensing units respectively. A sunlight tracking system is constituted of said light tracking sensor, a differential processing unit, an A/D converting unit, a microprocessor unit, a driving unit and an executive unit driven by the output end of the driving unit. Since one ends of the light tunnel devices form a common single-point micro-hole and the surface around the micro-hole is a curved surface, the sunlight tracking system, compared with the prior art, has a simpler structure, and a higher integration. Meanwhile, when in combination with certain software, a fast, accurate sunlight racking can be achieved, and its tracking precision is less influenced by the outdoor environment.

    Abstract translation: 光跟踪传感器和包括该光跟踪系统的太阳光跟踪系统,光跟踪传感器包括两个或多个光通道器件。 各个光通道器件的一端形成用作定向光的输入端口的公共单点微孔,光通道器件的另一端用作定向光的输出端口,并分别设有光感测单元 。 太阳跟踪系统由所述光跟踪传感器,差分处理单元,A / D转换单元,微处理器单元,驱动单元和由驱动单元的输出端驱动的执行单元构成。 由于光通道器件的一端形成常见的单点微孔,并且微孔周围的表面是曲面,与现有技术相比,太阳跟踪系统具有更简单的结构,并且具有更高的集成度 。 同时,结合某些软件,可以实现快速,准确的阳光支架,其跟踪精度受室外环境的影响较小。

    COMPRESSOR-FREE REFRIGERATION SYSTEM POWERED BY HEAT SOURCE
    5.
    发明申请
    COMPRESSOR-FREE REFRIGERATION SYSTEM POWERED BY HEAT SOURCE 审中-公开
    无源式制冷系统由热源供电

    公开(公告)号:US20140223957A1

    公开(公告)日:2014-08-14

    申请号:US14123597

    申请日:2011-11-04

    Abstract: A refrigeration system having: a heat source that provides heat energy; a power generator that contains the heat source to heat a refrigerating medium, to increase the temperature and pressure and vaporize the refrigerating medium; a condenser into which flows the liquid refrigerating medium from the power generator under the pressure difference resulted from heating in the power generator, and in which the liquid refrigerating medium temperature is decreased; a throttle valve that jets the liquid refrigerating medium into an evaporator to decrease its pressure and absorb heat; an evaporator to exchange heat from the refrigerating medium with a refrigeration output; and a liquid working medium return unit through which the liquid working medium accumulated on the bottom of the evaporator flows by gravity back freely to the power generator, wherein the evaporator, liquid working medium return unit, and power generator are arranged from top to bottom vertically.

    Abstract translation: 一种制冷系统,具有:提供热能的热源; 发电机,其包含用于加热制冷介质的热源,以增加温度和压力并蒸发冷藏介质; 一个冷凝器,其中液体制冷介质从功率发生器在发电机内由加热导致的压力差流动,并且其中液体冷藏介质温度降低; 节流阀,其将液体冷藏介质喷射到蒸发器中以降低其压力并吸收热量; 蒸发器,用于从制冷介质与制冷输出交换热量; 以及液体工作介质返回单元,通过该液体工作介质积聚在蒸发器底部的液体工作介质通过重力自由地流向发电机,其中蒸发器,液体工作介质返回单元和发电机从上到下垂直布置 。

    SYSTEM AND METHOD FOR RANKING ANOMALIES
    6.
    发明申请
    SYSTEM AND METHOD FOR RANKING ANOMALIES 有权
    用于排列异常的系统和方法

    公开(公告)号:US20130110761A1

    公开(公告)日:2013-05-02

    申请号:US13286150

    申请日:2011-10-31

    CPC classification number: G06N99/005

    Abstract: Probable anomalies associated with at least one data metric may be detected across a series of windows of time series data by comparison of data to a threshold. An estimated probability of anomalies for each of the windows of time series data may be determined based on the detected probable anomalies and the threshold. The windows of time series data may be ranked based on the estimated probabilities. Probable anomalies associated with highest ranked windows of time series data may be output to a user.

    Abstract translation: 通过将数据与阈值进行比较,可以跨时间序列数据的一系列窗口检测与至少一个数据度量相关联的可能的异常。 可以基于检测到的可能的异常和阈值来确定时间序列数据的每个窗口的估计的异常概率。 时间序列数据的窗口可以基于估计的概率进行排名。 与时间序列数据的最高排名窗口相关联的可能的异常可以被输出给用户。

    ANOMALY DETECTION IN DATA CENTERS
    7.
    发明申请
    ANOMALY DETECTION IN DATA CENTERS 有权
    数据中心异常检测

    公开(公告)号:US20130080375A1

    公开(公告)日:2013-03-28

    申请号:US13243476

    申请日:2011-09-23

    CPC classification number: G06F11/076

    Abstract: Systems and methods of anomaly detection in data centers. An example method may include analyzing time series data for the data center by testing statistical hypotheses. The method may also include constructing upper and lower bounds based on the statistical hypotheses. The method may also include flagging anomalies in the time series data falling outside of the upper and lower bounds.

    Abstract translation: 数据中心异常检测的系统和方法。 示例性方法可以包括通过测试统计假设来分析数据中心的时间序列数据。 该方法还可以包括基于统计假设来构建上限和下限。 该方法还可以包括在时间序列数据中标记掉在上下界之外的异常。

    PROCESS DEMAND PREDICTION FOR DISTRIBUTED POWER AND RESOURCE MANAGEMENT
    8.
    发明申请
    PROCESS DEMAND PREDICTION FOR DISTRIBUTED POWER AND RESOURCE MANAGEMENT 审中-公开
    分配权力和资源管理的过程需求预测

    公开(公告)号:US20120042312A1

    公开(公告)日:2012-02-16

    申请号:US13281234

    申请日:2011-10-25

    Abstract: Methods and systems for allocating resources in a virtual desktop resource environment are provided. A method includes making a prediction on the future demand for processes running on a distributed environment with several hosts. The prediction is based on the process demand history and includes the removal of historic process demand glitches. Further, the prediction is used to perform a cost and benefit analysis for moving a candidate process from one host to another, and the candidate process is moved to a different host when the cost and benefit analysis recommends such move. In another embodiment, the predictions on future process demand are used for distributed power management by putting hosts in stand-by mode when the overall demand decreases or by adding hosts to the distributed environment when the load increases.

    Abstract translation: 提供了在虚拟桌面资源环境中分配资源的方法和系统。 一种方法包括对具有多个主机的分布式环境上运行的进程的未来需求进行预测。 预测是基于过程需求历史,包括消除历史过程需求故障。 此外,预测用于执行将候选进程从一个主机移动到另一个主机的成本和效益分析,并且当成本和效益分析建议这样的移动时,候选进程被移动到不同的主机。 在另一个实施例中,当总体需求减少时,通过将主机置于待机模式或通过在负载增加时将主机添加到分布式环境中,将对未来过程需求的预测用于分布式电力管理。

    Network system management
    9.
    发明授权
    Network system management 有权
    网络系统管理

    公开(公告)号:US08909762B2

    公开(公告)日:2014-12-09

    申请号:US13050359

    申请日:2011-03-17

    CPC classification number: H04L41/145 H04L41/12 H04L41/147 H04L43/16

    Abstract: Systems, methods, and machine-readable and executable instructions are provided for network system management. Network system management can include receiving a network system size and a number of system parameters. Network system management can also include receiving a desired monitoring performance and a desired monitoring quality. Furthermore, network system management can include generating a monitoring system topology for a monitoring and analysis system based on the network system size, the number of system parameters, the desired monitoring performance, and the desired monitoring quality.

    Abstract translation: 提供系统,方法和机器可读和可执行指令用于网络系统管理。 网络系统管理可以包括接收网络系统大小和多个系统参数。 网络系统管理还可以包括接收期望的监视性能和期望的监视质量。 此外,网络系统管理可以包括基于网络系统尺寸,系统参数数量,期望的监控性能和期望的监控质量来生成用于监视和分析系统的监视系统拓扑。

    Anomaly detection in data centers
    10.
    发明授权
    Anomaly detection in data centers 有权
    数据中心异常检测

    公开(公告)号:US08688620B2

    公开(公告)日:2014-04-01

    申请号:US13243476

    申请日:2011-09-23

    CPC classification number: G06F11/076

    Abstract: Systems and methods of anomaly detection in data centers. An example method may include analyzing time series data for the data center by testing statistical hypotheses. The method may also include constructing upper and lower bounds based on the statistical hypotheses. The method may also include flagging anomalies in the time series data falling outside of the upper and lower bounds.

    Abstract translation: 数据中心异常检测的系统和方法。 示例性方法可以包括通过测试统计假设来分析数据中心的时间序列数据。 该方法还可以包括基于统计假设来构建上限和下限。 该方法还可以包括在时间序列数据中标记掉在上下界之外的异常。

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