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    • 17. 发明申请
    • Anomaly Detecting for Database Systems
    • 异常检测数据库系统
    • US20110271146A1
    • 2011-11-03
    • US12771263
    • 2010-04-30
    • Peter MorkAdriane ChapmanKen SamuelIrina VayndinerDavid Moore
    • Peter MorkAdriane ChapmanKen SamuelIrina VayndinerDavid Moore
    • G06F11/07G06F17/30
    • G06F21/55G06F17/30442
    • Methods, systems and computer program products for detecting anomalies for a database system are provided. A method may include extracting workload features from a query optimizer based on a query workload and generating feature models for the extracted workload features. The method may also include extracting instance features from the query optimizer based on a query instance. Instance feature values may be obtained. The method may further include applying a query instance to the workload feature models to produce a prediction value for each workload feature. Anomalies may be reported based on a comparison of each instance feature value with a corresponding prediction value. A system for detecting anomalies for a database system may include a query optimizer, a feature modeler and an anomaly detector.
    • 提供了用于检测数据库系统异常的方法,系统和计算机程序产品。 一种方法可以包括基于查询工作量从查询优化器提取工作负载特征,并为所提取的工作负载特征生成特征模型。 该方法还可以包括基于查询实例从查询优化器提取实例特征。 可以获得实例特征值。 该方法还可以包括将查询实例应用于工作负载特征模型以产生每个工作负载特征的预测值。 可以基于每个实例特征值与相应的预测值的比较来报告异常。 用于检测数据库系统的异常的系统可以包括查询优化器,特征建模器和异常检测器。