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公开(公告)号:US10713140B2
公开(公告)日:2020-07-14
申请号:US14736093
申请日:2015-06-10
发明人: Ashish Gupta , Shafi Ur Rahman , Sambandan Murugan
摘要: The state of a system is determined in which data sets are generated that include a plurality of data instances representing states of one or more components of a computer system. The data instances generated by one or more data set sources that are configured to output a data instance in response to a trigger associated with the one or more components. The data instances are normalized by the application of one or more rules. The data instances from individual data set sources are separately collated to generate groups of time-specific collated data instances. State types may be assigned to each of the collated data instance groups. Distributions of state-types across the groups may be determined and a list of infrequent state-types may be generated based on the determined distributions of state-types across the groups.
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公开(公告)号:US20160364464A1
公开(公告)日:2016-12-15
申请号:US14736093
申请日:2015-06-10
发明人: Ashish Gupta , Shafi Ur Rahman , Sambandan Murugan
IPC分类号: G06F17/30
摘要: The state of a system is determined in which data sets are generated that include a plurality of data instances representing states of one or more components of a computer system. The data instances generated by one or more data set sources that are configured to output a data instance in response to a trigger associated with the one or more components. The data instances are normalized by the application of one or more rules. The data instances from individual data set sources are separately collated to generate groups of time-specific collated data instances. State types may be assigned to each of the collated data instance groups. Distributions of state-types across the groups may be determined and a list of infrequent state-types may be generated based on the determined distributions of state-types across the groups.
摘要翻译: 确定系统的状态,其中生成包括表示计算机系统的一个或多个组件的状态的多个数据实例的数据集。 由一个或多个数据集源生成的数据实例被配置为响应于与一个或多个组件相关联的触发来输出数据实例。 数据实例通过应用一个或多个规则进行归一化。 来自各个数据集源的数据实例被单独整理,以生成一组特定时间的整理数据实例。 可以将状态类型分配给每个已整理的数据实例组。 可以确定组之间的状态类型的分布,并且可以基于确定的组中的状态类型的分布来生成不频繁状态类型的列表。
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