Automatic Entity-Grouping for Scalable OLTP
    1.
    发明申请
    Automatic Entity-Grouping for Scalable OLTP 审中-公开
    可扩展OLTP的自动实体分组

    公开(公告)号:US20140129531A1

    公开(公告)日:2014-05-08

    申请号:US14070604

    申请日:2013-11-04

    CPC classification number: G06F16/211

    Abstract: A method for automatic database design for scalability by receiving a database schema and database workload; applying transaction chopping to split a large transaction into smaller transactions; select one or more transactions using dynamic programming based on transaction weights; deriving a database design that covers the selected transactions; and generating a transaction class design that is scalable.

    Abstract translation: 通过接收数据库模式和数据库工作负载来实现可扩展性的自动数据库设计的方法; 应用交易切割将大型交易分解成较小的交易; 使用基于事务权重的动态规划来选择一个或多个事务; 导出涵盖所选交易的数据库设计; 并生成可扩展的事务类设计。

    INTEGRATED APPROACH TO MODEL TIME SERIES DYNAMICS IN COMPLEX PHYSICAL SYSTEMS
    2.
    发明申请
    INTEGRATED APPROACH TO MODEL TIME SERIES DYNAMICS IN COMPLEX PHYSICAL SYSTEMS 有权
    复杂物理系统中模型时间序列动力学的综合方法

    公开(公告)号:US20140108314A1

    公开(公告)日:2014-04-17

    申请号:US14050945

    申请日:2013-10-10

    Abstract: A system and method for analysis of complex systems which includes determining model parameters based on time series data, further including profiling a plurality of types of data properties to discover complex data properties and dependencies; classifying the data dependencies into predetermined categories for analysis; and generating a plurality of models based on the discovered properties and dependencies. The system and method may analyze, using a processor, the generated models based on a fitness score determined for each model to generate a status report for each model; integrate the status reports for each model to determine an anomaly score for the generated models; and generate an alarm when the anomaly score exceeds a predefined threshold.

    Abstract translation: 一种用于分析复杂系统的系统和方法,包括基于时间序列数据确定模型参数,还包括分析多种类型的数据属性以发现复杂数据属性和依赖性; 将数据依赖关系分类为预定类别进行分析; 以及基于所发现的属性和依赖关系生成多个模型。 系统和方法可以基于为每个模型确定的适应度分数来使用处理器分析生成的模型,以生成每个模型的状态报告; 整合每个模型的状态报告,以确定生成的模型的异常得分; 并且当异常得分超过预定阈值时产生报警。

    Integrated approach to model time series dynamics in complex physical systems
    3.
    发明授权
    Integrated approach to model time series dynamics in complex physical systems 有权
    在复杂物理系统中建立时间序列动力学的综合方法

    公开(公告)号:US09245235B2

    公开(公告)日:2016-01-26

    申请号:US14050945

    申请日:2013-10-10

    Abstract: A system and method for analysis of complex systems which includes determining model parameters based on time series data, further including profiling a plurality of types of data properties to discover complex data properties and dependencies; classifying the data dependencies into predetermined categories for analysis; and generating a plurality of models based on the discovered properties and dependencies. The system and method may analyze, using a processor, the generated models based on a fitness score determined for each model to generate a status report for each model; integrate the status reports for each model to determine an anomaly score for the generated models; and generate an alarm when the anomaly score exceeds a predefined threshold.

    Abstract translation: 一种用于分析复杂系统的系统和方法,包括基于时间序列数据确定模型参数,还包括分析多种类型的数据属性以发现复杂数据属性和依赖性; 将数据依赖关系分类为预定类别进行分析; 以及基于所发现的属性和依赖关系生成多个模型。 系统和方法可以基于为每个模型确定的适应度分数来使用处理器分析生成的模型,以生成每个模型的状态报告; 整合每个模型的状态报告,以确定生成的模型的异常得分; 并且当异常得分超过预定阈值时产生报警。

    DATA ANALYTIC ENGINE TOWARDS THE SELF-MANAGEMENT OF COMPLEX PHYSICAL SYSTEMS
    4.
    发明申请
    DATA ANALYTIC ENGINE TOWARDS THE SELF-MANAGEMENT OF COMPLEX PHYSICAL SYSTEMS 审中-公开
    数据分析引擎对复杂物理系统的自我管理

    公开(公告)号:US20140108324A1

    公开(公告)日:2014-04-17

    申请号:US14050808

    申请日:2013-10-10

    Abstract: Systems and method for modeling system dynamics, including extracting features representative of a temporal evolution of a dynamical system, further including deriving one or more vector trajectories by performing sliding window segmentation of one or more time series; applying a linear test to determine whether the one or more vector trajectories are linear or nonlinear; and performing linear or nonlinear subspace decomposition on the vector trajectory based on the linear test. The system and method may generate a system evolution model from the extracted features of the dynamical system and determine a fitness score of the system evolution model.

    Abstract translation: 用于建模系统动力学的系统和方法,包括提取表示动力系统的时间演化的特征,还包括通过执行一个或多个时间序列的滑动窗口分割来导出一个或多个矢量轨迹; 应用线性测试来确定一个或多个矢量轨迹是线性还是非线性; 并基于线性测试对矢量轨迹进行线性或非线性子空间分解。 系统和方法可以从动力系统的提取特征生成系统演化模型,并确定系统演化模型的适应度。

Patent Agency Ranking