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    • 3. 发明授权
    • Methods and apparatus for identifying chronic performance problems on data networks
    • 用于识别数据网络上的慢性性能问题的方法和装置
    • US07599308B2
    • 2009-10-06
    • US11217477
    • 2005-09-02
    • Kent LaverMatthew A. Tucker
    • Kent LaverMatthew A. Tucker
    • H04L12/26
    • H04L41/00H04L43/022H04L43/08H04L43/0852H04L43/0864H04L43/087H04L43/0888H04L43/16
    • A system for identifying chronic performance problems on data networks includes network monitoring devices that provide measurements of performance metrics such as latency, jitter, and throughput, and a processing system for analyzing measurement data to identify the onset of chronic performance problems. Network behavior is analyzed to develop a baseline performance level (e.g., computing a mean and variance of a baseline sample of performance metric measurements). An operating performance level is measured during operation of the network (e.g., computing a mean and variance of an operating sample of performance metric measurements). A chronic performance problem is identified if the operating performance level exceeds a performance threshold and a difference between the baseline performance level and the operating performance level is determined to be statistically significant. A t-test based on the baseline mean and variance and the operating mean and variance can be used to determine if this difference is significant.
    • 用于识别数据网络上的慢性性能问题的系统包括提供诸如延迟,抖动和吞吐量等性能度量的测量的网络监控设备,以及用于分析测量数据以识别慢性性能问题的发作的处理系统。 分析网络行为以开发基线性能水平(例如,计算性能度量测量的基线样本的平均值和方差)。 在网络运行期间测量操作性能水平(例如,计算性能度量测量的操作样本的平均值和方差)。 如果操作性能水平超过性能阈值并且基线性能水平与操作性能水平之间的差异被确定为具有统计学意义,则会识别长期性能问题。 可以使用基于平均值和方差以及操作平均值和方差的t检验来确定该差异是否显着。