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    • 2. 发明授权
    • Method and system for detecting changes in network performance
    • 检测网络性能变化的方法和系统
    • US08774023B2
    • 2014-07-08
    • US12887903
    • 2010-09-22
    • Jia WangZihui GeAjay MahimkarAman ShaikhJennifer YatesYin ZhangJoanne Emmons
    • Jia WangZihui GeAjay MahimkarAman ShaikhJennifer YatesYin ZhangJoanne Emmons
    • H04L12/26
    • H04L43/16H04L41/082H04L43/0829H04L43/0852
    • A system and method are provided for identifying a change point in a set of data. The system performs the method by receiving a set of data. The data indicates a plurality of performance measurements from a measurement point in a network. Each of the plurality of measurements represents a single type of performance measurement made at the measurement point at each of a corresponding plurality of points in time. The method also includes dividing the set of data into a plurality of data points in a chronological order. Each data point has a value corresponding to the performance measurements. The method also includes ranking the data points in an ascending order, calculating a cumulative sum for each of the data points, calculating a change score for the set of data points. A change point is identified in the data set if the change score exceeds a predetermined confidence level.
    • 提供了用于识别一组数据中的变化点的系统和方法。 系统通过接收一组数据来执行该方法。 数据表示来自网络中的测量点的多个性能测量。 多个测量中的每一个表示在相应的多个时间点的每一个处的测量点进行的单一类型的性能测量。 该方法还包括按照时间顺序将数据集合划分成多个数据点。 每个数据点都具有对应于性能测量值。 该方法还包括以升序对数据点进行排序,计算每个数据点的累积和,计算该组数据点的改变得分。 如果改变得分超过预定的置信水平,则在数据集中识别变化点。
    • 8. 发明授权
    • Method and apparatus for finding critical traffic matrices
    • 用于查找关键业务矩阵的方法和装置
    • US08228803B1
    • 2012-07-24
    • US11477437
    • 2006-06-28
    • Zihui GeYin Zhang
    • Zihui GeYin Zhang
    • H04L1/00
    • H04Q3/0062
    • Method and apparatus for determining at least one critical traffic matrix from a plurality of traffic matrices, where each of the plurality of traffic matrices is organized into at least one of a plurality of clusters, for a network is described. In one embodiment, a merging cost is calculated for each possible pair of clusters within a plurality of clusters. A pair of traffic matrices that is characterized by having the least merging cost is then merged. The calculating and the merging steps are subsequently repeated until a predefined number of clusters remains, wherein the remaining clusters are used to determine at least one critical traffic matrix.
    • 描述了一种用于从多个业务矩阵确定至少一个关键业务矩阵的方法和装置,其中多个业务矩阵中的每一个被组织成用于网络的多个集群中的至少一个。 在一个实施例中,针对多个聚类中的每个可能的聚类对来计算合并成本。 然后合并具有最小合并成本的一对业务矩阵。 随后重复计算和合并步骤,直到保持预定数量的簇,其中剩余的簇用于确定至少一个关键业务矩阵。
    • 9. 发明申请
    • Method and System for Detecting Changes In Network Performance
    • 检测网络性能变化的方法和系统
    • US20120069747A1
    • 2012-03-22
    • US12887903
    • 2010-09-22
    • Jia WangZihui GeAjay MahimkarAman ShaikhYin ZhangJoanne Emmons
    • Jia WangZihui GeAjay MahimkarAman ShaikhYin ZhangJoanne Emmons
    • H04L12/26
    • H04L43/16H04L41/082H04L43/0829H04L43/0852
    • A system and method are provided for identifying a change point in a set of data. The system performs the method by receiving a set of data. The data indicates a plurality of performance measurements from a measurement point in a network. Each of the plurality of measurements represents a single type of performance measurement made at the measurement point at each of a corresponding plurality of points in time. The method also includes dividing the set of data into a plurality of data points in a chronological order. Each data point has a value corresponding to the performance measurements. The method also includes ranking the data points in an ascending order, calculating a cumulative sum for each of the data points, calculating a change score for the set of data points. A change point is identified in the data set if the change score exceeds a predetermined confidence level.
    • 提供了用于识别一组数据中的变化点的系统和方法。 系统通过接收一组数据来执行该方法。 数据表示来自网络中的测量点的多个性能测量。 多个测量中的每一个表示在相应的多个时间点的每一个处的测量点进行的单一类型的性能测量。 该方法还包括按照时间顺序将数据集合划分成多个数据点。 每个数据点都具有对应于性能测量值。 该方法还包括以升序对数据点进行排序,计算每个数据点的累积和,计算该组数据点的改变得分。 如果改变得分超过预定的置信水平,则在数据集中识别变化点。