Identifying Temporal Ambiguity in an Aggregated Log Stream
    1.
    发明申请
    Identifying Temporal Ambiguity in an Aggregated Log Stream 失效
    识别聚合日志流中的时间歧义

    公开(公告)号:US20080162083A1

    公开(公告)日:2008-07-03

    申请号:US12048384

    申请日:2008-03-14

    IPC分类号: G06F15/00

    摘要: A method and system for ordering and aggregating log streams. Log streams for events from different sources are received. If different sources have different recording cycles, or time epochs, that lead to different temporal granularities, then all of the log streams are combined into a single time epoch that is equal to the longest time epoch. Log streams from sources having shorter time epochs continue to retain information about their original time epochs, in order to retain information about the order of the events in those log streams. The log streams are re-ordered, both before and after being integrated into the aggregate log, by acquiring additional data from the different sources, thus permitting the likely cause/effect relationship between events.

    摘要翻译: 用于排序和聚合日志流的方法和系统。 收到来自不同来源的事件的日志流。 如果不同的源具有不同的记录周期或时间周期,导致不同的时间粒度,则所有对数流被组合成等于最长时间时间的单个时间周期。 来自具有较短时间纪元的源的日志流继续保留关于其原始时间纪元的信息,以便保留关于这些日志流中的事件顺序的信息。 通过从不同来源获取附加数据,将日志流重新排序,在前后被集成到聚合日志中,从而允许事件之间的可能的因果关系。

    Identifying Temporal Ambiguity in an Aggregated Log Stream
    2.
    发明申请
    Identifying Temporal Ambiguity in an Aggregated Log Stream 失效
    识别聚合日志流中的时间歧义

    公开(公告)号:US20080162084A1

    公开(公告)日:2008-07-03

    申请号:US12048501

    申请日:2008-03-14

    IPC分类号: G06F15/00

    摘要: A method and system for ordering and aggregating log streams. Log streams for events from different sources are received. If different sources have different recording cycles, or time epochs, that lead to different temporal granularities, then all of the log streams are combined into a single time epoch that is equal to the longest time epoch. Log streams from sources having shorter time epochs continue to retain information about their original time epochs, in order to retain information about the order of the events in those log streams. The log streams are reordered, both before and after being integrated into the aggregate log, by acquiring additional data from the different sources, thus permitting the likely cause/effect relationship between events.

    摘要翻译: 用于排序和聚合日志流的方法和系统。 收到来自不同来源的事件的日志流。 如果不同的源具有不同的记录周期或时间周期,导致不同的时间粒度,则所有对数流被组合成等于最长时间时间的单个时间周期。 来自具有较短时间纪元的源的日志流继续保留关于其原始时间纪元的信息,以便保留关于这些日志流中的事件顺序的信息。 通过从不同来源获取附加数据,将日志流重新排序,在集成日志之前和之后,从而允许事件之间的可能的因果关系。