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    • 6. 发明授权
    • Monitoring data categorization and module-based health correlations
    • 监测数据分类和基于模块的健康相关性
    • US08533536B2
    • 2013-09-10
    • US13535916
    • 2012-06-28
    • An YanWilson LiPaulo JanottiJon Avner
    • An YanWilson LiPaulo JanottiJon Avner
    • G06F11/00
    • G06F11/008G06F11/0706G06F11/079
    • Architecture for aggregating health alerts from a number of related components into a single aggregated health state that can be analyzed to isolate the component responsible for the fault condition. In a hierarchy of related components within various component groups in a computer system, a number of health indicators can indicate alerts occurring in one or more of the related components whereas the fault condition occurs in only one component upon which the other components depend. The health indicators of related components are aggregated into an aggregated health state for each component group. These aggregated health states are analyzed to identify the related component associated with a root cause of the alert condition for an affected component group.
    • 用于将来自多个相关组件的健康警报聚合为单个聚合健康状态的体系结构,可以分析以分离负责故障状况的组件。 在计算机系统中的各种组件组中的相关组件的层次结构中,许多健康指示符可以指示在一个或多个相关组件中发生的警报,而故障状况仅出现在其他组件依赖的一个组件中。 相关组件的健康指标汇总为每个组件组的聚合健康状态。 分析这些聚合的健康状态,以识别与受影响的组件组的警报条件的根本原因相关联的相关组件。
    • 7. 发明授权
    • Monitoring data categorization and module-based health correlations
    • 监测数据分类和基于模块的健康相关性
    • US08230269B2
    • 2012-07-24
    • US12141056
    • 2008-06-17
    • An YanWilson LiPaulo JanottiJon Avner
    • An YanWilson LiPaulo JanottiJon Avner
    • G06F11/00
    • G06F11/008G06F11/0706G06F11/079
    • Architecture for aggregating health alerts from a number of related components into a single aggregated health state that can be analyzed to isolate the component responsible for the fault condition. In a hierarchy of related components within various component groups in a computer system, a number of health indicators can indicate alerts occurring in one or more of the related components whereas the fault condition occurs in only one component upon which the other components depend. The health indicators of related components are aggregated into an aggregated health state for each component group. These aggregated health states are analyzed to identify the related component associated with a root cause of the alert condition for an affected component group.
    • 用于将来自多个相关组件的健康警报聚合为单个聚合健康状态的体系结构,可以分析以分离负责故障状况的组件。 在计算机系统中的各种组件组中的相关组件的层次结构中,许多健康指示符可以指示在一个或多个相关组件中发生的警报,而故障状况仅出现在其他组件依赖的一个组件中。 相关组件的健康指标汇总为每个组件组的聚合健康状态。 分析这些聚合的健康状态,以识别与受影响的组件组的警报条件的根本原因相关联的相关组件。
    • 8. 发明申请
    • DETERMINATION OF INCREMENTAL VALUE IN SERVER PROCESSED DATA
    • 在服务器处理数据中确定增值
    • US20080222229A1
    • 2008-09-11
    • US11683123
    • 2007-03-07
    • An Yan
    • An Yan
    • G06F17/10
    • G06F17/18H04L41/0681
    • The accumulated change in values representative of actions taken by a processor, such as the number of email messages processed by an email server, in a given time period is determined. Actions are represented as data points on a plot. Look-ahead intervals are defined for each point. Candidate pairs of points are determined for each look-ahead interval by comparing the first value in the look-ahead interval with other values in the look-ahead interval. A candidate pair comprises the first point and another point having a lesser value. If a candidate pair has a value therebetween, the candidate pair is discarded. If, however, a candidate pair has no value therebetween, the first value of the candidate pair is a peak value for the look-ahead interval. The accumulated change is determined by calculating the sum of the peak values, plus the final value, minus the initial value, for the given time period.
    • 确定代表处理器采取的动作的值的累积变化,例如在给定时间段内由电子邮件服务器处理的电子邮件消息的数量。 动作在图上表示为数据点。 为每个点定义预先的间隔。 通过将先行区间中的第一值与先行间隔中的其他值进行比较,为每个预先间隔确定候选点对。 候选对包括第一点和具有较小值的另一点。 如果候选对之间有一个值,则候选对被丢弃。 然而,如果候选对在它们之间没有价值,则候选对的第一个值是预先间隔的峰值。 通过计算给定时间段内的峰值和加上最终值减去初始值的总和来确定累积变化。