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    • 56. 发明授权
    • Systems and methods for automated navigation between dynamic data with dissimilar structures
    • 动态数据与不同结构之间的自动导航的系统和方法
    • US06704721B1
    • 2004-03-09
    • US09285639
    • 1999-04-02
    • Joseph L. Hellerstein
    • Joseph L. Hellerstein
    • G06F1730
    • G06F17/30595Y10S707/99933Y10S707/99942Y10S707/99943
    • Systems and methods are provided for automating navigation between dynamic data that has dissimilar structures, such as navigating between relational tables that have only a subset of their columns in common. That is, given a source dataset and source element collection, we want to navigate to an element collection in one or more target datasets. The automated navigation system includes an inter-dataset navigation engine that determines the best matching element collection within a plurality of target datasets. One method employed includes finding a descriptor of the target element collection in a target dataset. Then, a distance metric is computed between each source and target element. Lastly, a list that contains an entry for each target dataset along with its associated target element collection and distance value is output for use in a particular analysis task.
    • 提供了系统和方法,用于自动化具有不同结构的动态数据之间的导航,例如在仅具有其列的一部分的公共关系的关系表之间进行导航。 也就是说,给定源数据集和源元素集合,我们要导航到一个或多个目标数据集中的元素集合。 自动导航系统包括数据集内导航引擎,其确定多个目标数据集内的最佳匹配元素集合。 所采用的一种方法包括在目标数据集中找到目标元素集合的描述符。 然后,在每个源和目标元素之间计算距离度量。 最后,输出包含每个目标数据集的条目及其关联的目标元素集合和距离值的列表,以用于特定的分析任务。
    • 57. 发明授权
    • Method and apparatus for quantitative diagnosis of performance problems
using external representations
    • 使用外部表征定量诊断性能问题的方法和装置
    • US5996090A
    • 1999-11-30
    • US959828
    • 1997-10-29
    • Joseph L. Hellerstein
    • Joseph L. Hellerstein
    • G06F11/34G06F11/00
    • G06F11/34G06F11/3447G06F11/3419G06F2201/87
    • A method and apparatus are described for building diagnostic systems for performance problems in computer and communications systems. The diagnostic system outputs explanations that quantify contributions to performance problems, such as "90% of the increase in response time is due to increased LAN traffic." The preferred embodiment comprises: (1) a representation of the target system as a directed acyclic graph; (2) diagnostic techniques that compute numerical weights for arcs in the directed graph; and (3) a diagnosis engine that uses the directed graph and arc weights to output quantitative performance diagnoses. Nodes in the directed graph are measurement variables in the target system. Arcs in the graph indicate functional dependencies between measurement variables. Arc weights indicate the contribution of a child variable to performance problems manifested in the parent variable. The diagnosis engine searches the directed graph to find paths with the largest explanatory power, as computed from the arc weights.
    • 描述了一种用于构建用于计算机和通信系统中的性能问题的诊断系统的方法和装置。 诊断系统输出量化对性能问题的贡献的解释,例如“90%的响应时间增加是由于LAN流量增加。 优选实施例包括:(1)作为有向非循环图的目标系统的表示; (2)计算有向图中弧的数值权重的诊断技术; 和(3)诊断引擎,其使用有向图和弧权重来输出定量性能诊断。 有向图中的节点是目标系统中的测量变量。 图中的弧表示测量变量之间的功能依赖关系。 弧权重表示子变量对父变量中表现的性能问题的贡献。 诊断引擎搜索有向图以找出具有最大解释力的路径,根据弧权重计算。