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    System and method for network root cause analysis
    22.
    发明授权
    System and method for network root cause analysis 有权

    公开(公告)号：US10594542B2

    公开(公告)日：2020-03-17

    申请号：US15796687

    申请日：2017-10-27

    Applicant: Cisco Technology, Inc.

    Inventor： Vimal Jeyakumar ,  Ali Parandehgheibi ,  Andy Sloane ,  Ashutosh Kulshreshtha ,  Navindra Yadav ,  Omid Madani

    IPC: H04L12/24 ,  G06N20/00

    Abstract: Disclosed herein is a multi-level analysis for determining a root cause of a network problem by performing a first level of the multi-level process that includes collecting data from one or more network components, generating a set of system metrics where each system metric of the set representing a portion of the data, ranking the set of system metrics based on a level of correlation of each system metric to the network problem to yield a ranked set of system metrics, and providing a visual representation of the first level of the multi-level process. A second level of the multi-level process includes receiving an input identifying one or more of the ranked set of system metrics to be excluded from analysis and performing a conditional analysis using only ones of the set of system metrics that are not identified for exclusion.

    SYSTEM AND METHOD FOR NETWORK ROOT CAUSE ANALYSIS
    24.
    发明申请
    SYSTEM AND METHOD FOR NETWORK ROOT CAUSE ANALYSIS 审中-公开

    公开(公告)号：US20190132190A1

    公开(公告)日：2019-05-02

    申请号：US15796687

    申请日：2017-10-27

    Applicant: Cisco Technology, Inc.

    Inventor： Vimal Jeyakumar ,  Ali Parandehgheibi ,  Andy Sloane ,  Ashutosh Kulshreshtha ,  Navindra Yadav ,  Omid Madani

    IPC: H04L12/24 ,  G06N99/00

    Abstract: Disclosed herein is a multi-level analysis for determining a root cause of a network problem by performing a first level of the multi-level process that includes collecting data from one or more network components, generating a set of system metrics where each system metric of the set representing a portion of the data, ranking the set of system metrics based on a level of correlation of each system metric to the network problem to yield a ranked set of system metrics, and providing a visual representation of the first level of the multi-level process. A second level of the multi-level process includes receiving an input identifying one or more of the ranked set of system metrics to be excluded from analysis and performing a conditional analysis using only ones of the set of system metrics that are not identified for exclusion.

    CLUSTER DISCOVERY VIA MULTI-DOMAIN FUSION FOR APPLICATION DEPENDENCY MAPPING
    27.
    发明申请
    CLUSTER DISCOVERY VIA MULTI-DOMAIN FUSION FOR APPLICATION DEPENDENCY MAPPING 审中-公开
    通过多域融合的集群发现应用依赖映射

    公开(公告)号：US20160359680A1

    公开(公告)日：2016-12-08

    申请号：US15145493

    申请日：2016-05-03

    Applicant: Cisco Technology, Inc.

    Inventor： Ali Parandehgheibi ,  Omid Madani ,  Vimalkumar Jeyakumar ,  Ellen Christine Scheib ,  Navindra Yadav ,  Mohammadreza Alizadeh Attar

    IPC: H04L12/24 ,  H04L12/725 ,  H04L12/715

    Abstract: Application dependency mapping (ADM) can be automated in a network. The network can determine whether certain nodes form a cluster of a tier of an application. The network can monitor network data and process data for traffic passing through the network using a sensor network that provides multiple perspectives for the traffic. The network can analyze the network data and process data to determine respective feature vectors for nodes. A feature vector may represent a combination of the features corresponding to the network data and the features corresponding to the process data of a node. The network can compare the similarity of the respective feature vectors and determine each node's cluster based on similarity measures between nodes.

    Abstract translation: 应用程序依赖关系映射（ADM）可以在网络中自动化。 网络可以确定某些节点是否形成应用层的集群。 该网络可以监视网络数据并处理通过网络传输的流量的数据，该传感器网络为流量提供多个视角。 网络可以分析网络数据和处理数据，以确定节点的相应特征向量。 特征向量可以表示对应于网络数据的特征和与节点的过程数据相对应的特征的组合。 网络可以比较各个特征向量的相似度，并根据节点之间的相似性度量来确定每个节点的簇。

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