HIERARCHICAL ANOMALY LOCALIZATION AND PRIORITIZATION
    29.
    发明申请
    HIERARCHICAL ANOMALY LOCALIZATION AND PRIORITIZATION 审中-公开
    分层异常定位与优化

    公开(公告)号:US20160149783A1

    公开(公告)日:2016-05-26

    申请号:US15011029

    申请日:2016-01-29

    CPC classification number: H04L43/0823 H04L41/0618 H04L41/0677 H04L43/0864

    Abstract: Example methods disclosed herein to prioritize anomalies in a communication network include classifying respective nodes in the communication network as normal, abnormal or indeterminate based on measurements received for the nodes. Disclosed example methods also include selecting a subset of the nodes classified as abnormal to be root cause abnormal nodes representing sources of the anomalies in the communication network, respective ones of the root cause abnormal nodes being abnormal nodes identified in the communication network and determined to have respective sets of direct descendent nodes having majorities of nodes classified as abnormal or indeterminate. Disclosed example methods further include combining respective anomaly sizes and anomaly scopes determined for the respective ones of root cause abnormal nodes based on the measurements to determine respective rankings for the root cause abnormal nodes, and outputting the respective rankings to prioritize the set of root cause abnormal nodes.

    Abstract translation: 在本文中公开的将方法进行优先排列的方法包括:根据针对节点接收的测量,将通信网络中的相应节点分类为正常的,异常的或不确定的。 公开的示例方法还包括选择被分类为异常的节点的子集,从而导致表示通信网络中的异常源的异常节点,根本原因导致异常节点是在通信网络中识别的异常节点,并且确定具有 各组具有多个节点的直接后代节点分类为异常或不确定。 公开的示例方法还包括基于测量结合针对根本原因异常节点确定的各异常大小和异常范围,以确定根导致异常节点的相应排名,并输出各自的排名以优先考虑该组根本原因异常 节点。

Patent Agency Ranking