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    • 1. 发明申请
    • Method, system, and program product for optimizing monitoring and discovery services for a grid computing environment
    • 用于优化网格计算环境的监控和发现服务的方法,系统和程序产品
    • US20060212512A1
    • 2006-09-21
    • US11358304
    • 2006-02-21
    • Genady GrabarnikMoon KimLev KozakovYefim MichlinLarisa Shwartz
    • Genady GrabarnikMoon KimLev KozakovYefim MichlinLarisa Shwartz
    • G06F15/173G06F15/16
    • H04L67/16
    • Under the present invention, a stability and updateability (SUP) ratio for a grid computing environment is generated. Thereafter, a size of a set (e.g., at least one) of scale free graphs for the grid computing environment is estimated. Then, based on at least one predetermined parameter such as a quantity of nodes in the grid computing environment, the set of scale free graphs is actually generated. Based on the set of scale free graphs a set of perturbed scale free graphs is generated. In one example, this may be accomplished using a preferential rewiring technique. This process is repeated for each of the monitoring and discovery services, which will yield at least two sets of perturbed scale free graphs. Using these sets of graphs, a set of monitoring and discovery service (MDS) topology graphs for the grid computing environment will be generated and deployed for optimization.
    • 在本发明中,产生了网格计算环境的稳定性和可更新性(SUP)比。 此后,估计用于网格计算环境的一组(例如,至少一个)无规模图形的大小。 然后,基于网格计算环境中的诸如节点数量的至少一个预定参数,实际上生成了无量纲图。 基于无量纲图的集合,生成一组扰动的无量纲图。 在一个示例中,这可以使用优先重新布线技术来实现。 对每个监测和发现服务重复这个过程,这将产生至少两组扰动的无量纲图。 使用这些图表,将生成并部署用于网格计算环境的一组监视和发现服务(MDS)拓扑图,以进行优化。
    • 8. 发明授权
    • Credibility of text analysis engine performance evaluation by rating reference content
    • 文本分析引擎性能评估的可信度通过评级参考内容
    • US08214734B2
    • 2012-07-03
    • US12248132
    • 2008-10-09
    • Genady GrabarnikLev KozakovLarisa Shwartz
    • Genady GrabarnikLev KozakovLarisa Shwartz
    • G06F17/00
    • G06F17/241G06F17/30598G06F17/30705G06F17/3071
    • Evaluating the performance of a text analysis engine is provided. A plurality of pre-annotated reference documents and a set of annotation types associated with the pre-annotated reference documents are received. Annotation contexts of reference annotations in the plurality of pre-annotated reference documents are analyzed using the set of annotation types. Similar annotation contexts are identified between the reference annotations and the set of annotation types. Responsive to identifying the similar annotation contexts, the similar annotation contexts are clustered thereby forming a plurality of reference annotation clusters. A set of reference content heterogeneity scores are computed based on the number of reference annotation clusters for each annotation type in the set of annotation types. An integral reference content rate for the set of annotation types is then computed and output to a user.
    • 提供了文本分析引擎的性能评估。 接收多个预先注释的参考文档和与预注释的参考文档相关联的一组注释类型。 使用注释类型集来分析多个预先注释的参考文献中的引用注释的注释上下文。 在引用注释和注释类型集之间标识相似的注释上下文。 响应于识别类似的注释上下文,类似的注释上下文被聚集,从而形成多个参考注释簇。 基于在注释类型集合中的每个注释类型的引用注释集合的数量来计算一组参考内容异质性分数。 然后计算一组注释类型的整体参考内容速率并将其输出给用户。