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    • 1. 发明授权
    • Accurately predicting system behavior of a managed system using genetic programming
    • 准确预测使用遗传规划的受管系统的系统行为
    • US06453265B1
    • 2002-09-17
    • US09473793
    • 1999-12-28
    • Mohamed DekhilEvan R. KirshenbaumJerremy Holland
    • Mohamed DekhilEvan R. KirshenbaumJerremy Holland
    • G06F1718
    • G06N3/126
    • A system for monitoring system behavior of a managed/instrumented system is described. The system includes a measurement module coupled to the managed system to generate measurement data of the managed system. The measurement data include past measurement data and current measurement data. A store is also provided that stores the past measurement data. A genetic programming module is coupled to the store to evolve the evolved predictor based on the past measurement data and predetermined effectiveness criteria such that the evolved predictor predicts the system behavior of the managed system when supplied with the current measurement data. The genetic programming module genetically manipulates a set of candidate predictors to produce the evolved predictor. A system for generating the evolved predictor is also described.
    • 描述了一种用于监视管理/检测系统的系统行为的系统。 该系统包括耦合到被管理系统的测量模块以产生被管理系统的测量数据。 测量数据包括过去的测量数据和当前测量数据。 还提供存储过去测量数据的商店。 遗传编程模块耦合到商店,以基于过去的测量数据和预定的有效性标准来演进演进的预测器,使得演进的预测器在提供当前测量数据时预测被管理系统的系统行为。 遗传编程模块遗传操纵一组候选预测因子以产生演化预测器。 还描述了用于生成演进预测器的系统。
    • 3. 发明授权
    • System and method for constructing forecast models
    • 构建预测模型的系统和方法
    • US08374982B2
    • 2013-02-12
    • US12687458
    • 2010-01-14
    • Jerry Z. ShanRajan LukoseHenri J. SuermondtEvan R. Kirshenbaum
    • Jerry Z. ShanRajan LukoseHenri J. SuermondtEvan R. Kirshenbaum
    • G06F15/18G06F17/00G06F17/50G06F7/48
    • G06N99/005
    • Embodiments of the present invention include a computational forecasting system that includes an identity of a dependent variable of interest and identities of a plurality of candidate indicators along with historical data or stored references to historical data, forecast-problem parameters stored in an electronic memory of the one or more electronic computers, an independent-variable selection component that generates correlations to the dependent variable of interest and lag times for the candidate indicators, and uses the generated correlations and lag times to select a number of the candidate indicators as a set of independent variables, and a model-generation component that, using a regression method, generates forecast models for the dependent variable of interest until a model that meets an acceptance criterion or criteria is obtained.
    • 本发明的实施例包括计算预测系统,其包括感兴趣的因变量的身份和多个候选指标的身份以及历史数据或存储在历史数据中的参考,存储在电子存储器中的预测问题参数 一个或多个电子计算机,产生与候选指标的感兴趣的因变量和滞后时间的相关性的独立变量选择部件,并且使用所生成的相关性和滞后时间来将多个候选指标作为一组独立的 变量和模型生成组件,使用回归方法生成感兴趣的因变量的预测模型,直到获得符合接受标准或标准的模型。
    • 7. 发明申请
    • FOCUSED BACKUP SCANNING
    • 聚焦备份扫描
    • US20110131184A1
    • 2011-06-02
    • US12627935
    • 2009-11-30
    • Evan R. Kirshenbaum
    • Evan R. Kirshenbaum
    • G06F17/00G06F12/16
    • G06F11/1435G06F11/1451G06F11/1471G06F2201/84
    • Methods, systems, and computer program products are provided for performing data backup of a file system. A monitoring process is configured to include a file system representation (FSR) representing the file system, the FSR comprising a plurality of nodes, each node corresponding to a respective one of a plurality of elements of the file system. A monitoring process includes a file system representation (FSR) of a file system. The FSR comprises a plurality of nodes corresponding to a respective one of a plurality of elements of the file system. The monitoring process receives a notification of a change to a first element of the file system, caches information associated with a second element of the file system to provide cached information, and processes the FSR in response to the change.
    • 提供了方法,系统和计算机程序产品,用于执行文件系统的数据备份。 监视过程被配置为包括表示文件系统的文件系统表示(FSR),FSR包括多个节点,每个节点对应于文件系统的多个元素中的相应一个元素。 监视过程包括文件系统的文件系统表示(FSR)。 FSR包括对应于文件系统的多个元素中的相应一个的多个节点。 监视过程接收到对文件系统的第一元素的更改的通知,缓存与文件系统的第二元素相关联的信息以提供缓存的信息,并响应于该改变来处理FSR。