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    • 2. 发明授权
    • Performance metric-based selection of one or more database server instances to perform database recovery
    • 基于性能度量的一个或多个数据库服务器实例的选择来执行数据库恢复
    • US07809690B2
    • 2010-10-05
    • US10891433
    • 2004-07-13
    • Stefan PommerenkCarol ColrainWilson ChanAngelo Pruscino
    • Stefan PommerenkCarol ColrainWilson ChanAngelo Pruscino
    • G06F17/30
    • G06F11/1469G06F11/1471G06F2201/80
    • A method and apparatus for selecting one or more instances to perform database recovery is provided. According to one aspect, one or more performance metrics are determined for each instance on each node in a cluster. Based on these performance metrics, which may be weighted to give one or more metrics more significance relative to the other metrics, an overall score is determined for each instance on each surviving node when a node in the cluster fails. One or more instances with the highest of these scores are selected. The selected instances are assigned the task of performing the database recovery process. Because instances best able to handle to database recovery process are selected, the database recovery process consumes less time, thereby making data accessible in less time after a node fails.
    • 提供了用于选择一个或多个实例以执行数据库恢复的方法和装置。 根据一个方面,针对集群中的每个节点上的每个实例确定一个或多个性能度量。 基于这些性能度量,其可以被加权以给出相对于其他度量更重要的一个或多个指标,当集群中的节点发生故障时,为每个存活节点上的每个实例确定整体得分。 选择这些分数中最高的一个或多个实例。 所选实例被分配执行数据库恢复过程的任务。 因为选择了能够处理数据库恢复过程的实例,所以数据库恢复过程消耗更少的时间,从而使节点在节点出现故障后更少的时间可以访问数据。
    • 3. 发明申请
    • Performance metric-based selection of one or more database server instances to perform database recovery
    • 基于性能度量的一个或多个数据库服务器实例的选择来执行数据库恢复
    • US20060015542A1
    • 2006-01-19
    • US10891433
    • 2004-07-13
    • Stefan PommerenkCarol ColrainWilson ChanAngelo Pruscino
    • Stefan PommerenkCarol ColrainWilson ChanAngelo Pruscino
    • G06F12/00
    • G06F11/1469G06F11/1471G06F2201/80
    • A method and apparatus for selecting one or more instances to perform database recovery is provided. According to one aspect, one or more performance metrics are determined for each instance on each node in a cluster. Based on these performance metrics, which may be weighted to give one or more metrics more significance relative to the other metrics, an overall score is determined for each instance on each surviving node when a node in the cluster fails. One or more instances with the highest of these scores are selected. The selected instances are assigned the task of performing the database recovery process. Because instances best able to handle to database recovery process are selected, the database recovery process consumes less time, thereby making data accessible in less time after a node fails.
    • 提供了用于选择一个或多个实例以执行数据库恢复的方法和装置。 根据一个方面,针对集群中的每个节点上的每个实例确定一个或多个性能度量。 基于这些性能度量,其可以被加权以给出相对于其他度量更重要的一个或多个指标,当集群中的节点发生故障时,为每个存活节点上的每个实例确定整体得分。 选择这些分数中最高的一个或多个实例。 所选实例被分配执行数据库恢复过程的任务。 因为选择了能够处理数据库恢复过程的实例,所以数据库恢复过程消耗更少的时间,从而使节点在节点出现故障后更少的时间可以访问数据。
    • 9. 发明申请
    • Cluster health indicator with dynamic load correlation
    • 具有动态负载相关性的群体健康指标
    • US20090287720A1
    • 2009-11-19
    • US12152535
    • 2008-05-15
    • Thomas HerterAngelo Pruscino
    • Thomas HerterAngelo Pruscino
    • G06F17/30
    • G06F11/3006G06F11/3082G06F11/328G06F11/3433
    • Systems, methods, and other embodiments associated with producing a proximity display of correlated load metrics associated with members of a cluster are described. One example method includes acquiring metrics data (e.g., load data) from nodes in a cluster. The example method may also include determining a cluster element state based on the metrics data and determining relationships between members of the set of related cluster elements. The method may also include identifying element metric representations for cluster elements based on cluster element states and identifying locations on a proximity display at which element metric representations are to be displayed. The locations may depend on relationships between cluster element states. The method may also include displaying element metric representations at the computed locations to produce a proximity display of correlated load metrics.
    • 描述了与生成与集群的成员相关联的相关负载度量的接近显示相关联的系统,方法和其他实施例。 一个示例性方法包括从集群中的节点获取度量数据(例如,加载数据)。 示例性方法还可以包括基于度量数据确定集群元素状态并确定该组相关集群元素的成员之间的关系。 该方法还可以包括基于聚类元素状态识别针对簇元素的元素度量表示,并且识别要在哪个元素度量表示被显示的接近度显示上的位置。 位置可能取决于集群元素状态之间的关系。 该方法还可以包括在计算的位置处显示元素度量表示以产生相关负载度量的接近显示。