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    • 5. 发明申请
    • METHODS AND SYSTEMS TO IDENTIFY BOTTLENECK CAUSES IN APPLICATIONS USING TEMPORAL BOTTLENECK POINT DETECTION
    • 使用周期性BOTTLENECK点检测识别应用中的BOTTLENECK原因的方法和系统
    • US20150256434A1
    • 2015-09-10
    • US14199231
    • 2014-03-06
    • Xerox Corporation
    • Gueyoung JungJinhui Yao
    • H04L12/26H04L29/08
    • H04L43/0888H04L41/142H04L43/04H04L43/045H04L43/0817H04L67/02H04L67/10H04L67/22
    • Methods and systems are provided for determining performance characteristics of an application processing system. The method comprises monitoring throughput of a plurality of resources of the system in a selected time window. A change rate is detected in the throughput of the resources, respectively, representative of a change to constancy of workload in at least some of the resources. Such a change in constancy comprises a knee point of a plot of resource usage comprising load relative to throughput. The time of the change rate is identified within the time window. A relatively first to occur of a plurality of resources knee points is determined wherein the resource corresponding to the first to occur is determined to have a fully loaded throughput within the multi-tier processing system. The determination of the first to occur knee point comprises pinpointing a bottleneck starting point within the application processing system.
    • 提供了用于确定应用处理系统的性能特征的方法和系统。 该方法包括在所选择的时间窗中监视系统的多个资源的吞吐量。 在资源的吞吐量中分别检测到代表在至少一些资源中工作负荷持续变化的变化率。 这种恒常变化包括资源使用情况的拐点,包括相对于吞吐量的负载。 在时间窗口内确定变更率的时间。 确定多个资源拐点中相对首先出现的点,其中与首先发生的资源相对应的资源被确定为在多层处理系统内具有完全加载的吞吐量。 首先发生拐点的确定包括确定应用处理系统内的瓶颈起点。