Fast learning to train learning machines using shadow joining
    82.
    发明授权
    Fast learning to train learning machines using shadow joining 有权
    快速学习使用阴影加入训练学习机

    公开(公告)号:US09418340B2

    公开(公告)日:2016-08-16

    申请号:US13926526

    申请日:2013-06-25

    CPC classification number: G06N99/005

    Abstract: In one embodiment, a node receives a request to initiate a shadow joining operation to shadow join a field area router (FAR) of a computer network, and preserves its data structures and soft states. The shadow joining operation may then be initiated to shadow join the FAR, wherein shadow joining comprises preforming join operations without leaving a currently joined-FAR, and the node measures one or more joining metrics of the shadow joining operation, and reports them accordingly. In another embodiment, a FAR (or other management device) determines a set of nodes to participate in a shadow joining operation, and informs the set of nodes of the shadow joining operation to shadow join the FAR. The device (e.g., FAR) participates in the shadow joining operation, and receives reports of one or more joining metrics of the shadow joining operation measured by the set of nodes.

    Abstract translation: 在一个实施例中,节点接收发起影子加入操作以影响连接计算机网络的场区域路由器(FAR)的请求,并保留其数据结构和软状态。 然后可以启动阴影加入操作以影子连接FAR,其中阴影连接包括预先加入连接操作而不离开当前连接的FAR,并且节点测量阴影加入操作的一个或多个连接度量,并相应地报告。 在另一个实施例中,FAR(或其他管理设备)确定参与阴影加入操作的一组节点,并且通知该组节点的阴影加入操作以影响加入FAR。 设备(例如,FAR)参与阴影加入操作,并且接收由该组节点测量的阴影加入操作的一个或多个连接度量的报告。

    TRACKING ANOMALY PROPAGATION AT THE NETWORK LEVEL
    83.
    发明申请
    TRACKING ANOMALY PROPAGATION AT THE NETWORK LEVEL 有权
    在网络层面跟踪异常传播

    公开(公告)号:US20160218949A1

    公开(公告)日:2016-07-28

    申请号:US14604175

    申请日:2015-01-23

    CPC classification number: H04L63/1416 G06F11/3409 G06F11/3466 G06F2201/86

    Abstract: In one embodiment, a device in a network monitors one or more metrics regarding network traffic associated with a particular application. The device detects an application-centric anomaly based on the monitored one or more metrics. The device causes an anomaly mitigation action to be performed in the network, in response to detecting the application-centric anomaly.

    Abstract translation: 在一个实施例中,网络中的设备监视与特定应用相关联的网络流量的一个或多个度量。 该设备基于所监视的一个或多个度量来检测以应用为中心的异常。 响应于检测到以应用为中心的异常,该设备导致在网络中执行异常缓解动作。

    Handling unacceptable asymmetrical communication paths in computer networks
    85.
    发明授权
    Handling unacceptable asymmetrical communication paths in computer networks 有权
    在计算机网络中处理不可接受的不对称通信路径

    公开(公告)号:US09344355B2

    公开(公告)日:2016-05-17

    申请号:US14039191

    申请日:2013-09-27

    CPC classification number: H04L45/24 H04L43/08 H04L45/308

    Abstract: In one embodiment, a plurality of communication paths in a second direction in a communication network is determined, based on reversing communication paths established in a first direction in the communication network. Then, a path quality of the communication paths in the second direction is monitored. Based on the monitored path quality, it is then determined whether the communication paths in the second direction satisfy a communication requirement. Finally, a particular communication path of unacceptable quality in the second direction is detected when the particular communication path in the second direction fails to satisfy the communication requirement.

    Abstract translation: 在一个实施例中,基于在通信网络中沿第一方向建立的反向通信路径来确定在通信网络中的第二方向上的多个通信路径。 然后,监视第二方向上的通信路径的路径质量。 基于所监视的路径质量,确定第二方向的通信路径是否满足通信要求。 最后,当第二方向上的特定通信路径不能满足通信要求时,检测到在第二方向上具有不可接受质量的特定通信路径。

    Aggregated delivery of tunnel fault messages on common ethernet segments
    87.
    发明授权
    Aggregated delivery of tunnel fault messages on common ethernet segments 有权
    在通用以太网网段上汇总隧道故障消息

    公开(公告)号:US09215136B2

    公开(公告)日:2015-12-15

    申请号:US13928852

    申请日:2013-06-27

    CPC classification number: H04L41/0686 H04L45/28 H04L45/50

    Abstract: In one embodiment, a device in a computer network determines one or more tunnels affected by a downstream fault in the computer network, and determines one or more common Ethernet segments of the device used by the affected tunnels. As such, the device generates, for each of the one or more common Ethernet segments, a respective fault message aggregating tunnel information of each of one or more particular affected tunnels on the corresponding common Ethernet segment, and sends each respective fault message with aggregated tunnel information over a selected tunnel of the one or more particular affected tunnels on the corresponding common Ethernet segment.

    Abstract translation: 在一个实施例中,计算机网络中的设备确定受计算机网络中的下游故障影响的一个或多个隧道,并确定受影响隧道使用的设备的一个或多个公共以太网段。 因此,该设备为一个或多个公共以太网段中的每一个生成相应的故障消息,聚​​合对应的公共以太网段上的一个或多个特定受影响隧道中的每一个的隧道信息,并且将每个相应的故障消息发送到聚合隧道 通过相应公共以太网段上的一个或多个特定受影响隧道的选定隧道的信息。

    MONITORING NODE LIVENESS IN LOW-POWER LOSSY NETWORKS
    89.
    发明申请
    MONITORING NODE LIVENESS IN LOW-POWER LOSSY NETWORKS 审中-公开
    监控低功耗网络中的节点生活

    公开(公告)号:US20150195176A1

    公开(公告)日:2015-07-09

    申请号:US14165450

    申请日:2014-01-27

    CPC classification number: H04L43/12 H04L41/16 H04L43/08 Y04S40/168

    Abstract: In one embodiment, a learning machine may be used to select observer nodes in a LLN such that the liveness of one or more nodes of interest may be monitored indirectly. In particular, a management device may receive network data on one or more network traffic parameters of a computer network. The management device may then determine, based on the network data, a candidate list of potential observer nodes to monitor activity or inactivity of one or more subject nodes. The management device may then dynamically select, using a machine learning model, a set of optimized observer nodes from the candidate list of potential observer nodes.

    Abstract translation: 在一个实施例中,可以使用学习机器来选择LLN中的观察者节点,使得可以间接地监视感兴趣的一个或多个节点的活动性。 具体地,管理设备可以接收计算机网络的一个或多个网络业务参数上的网络数据。 然后,管理设备可以基于网络数据来确定潜在观察者节点的候选列表,以监视一个或多个主题节点的活动或不活动。 然后,管理设备可以使用机器学习模型从潜在的观察者节点的候选列表中动态地选择一组优化的观察者节点。

    PROVIDING A BACKUP NETWORK TOPOLOGY WITHOUT SERVICE DISRUPTION
    90.
    发明申请
    PROVIDING A BACKUP NETWORK TOPOLOGY WITHOUT SERVICE DISRUPTION 有权
    提供无服务中断的备用网络拓扑

    公开(公告)号:US20140281670A1

    公开(公告)日:2014-09-18

    申请号:US13839053

    申请日:2013-03-15

    Abstract: In one embodiment, a primary root node may detect one or more neighboring root nodes based on information received from a first-hop node and may select a backup root node among the neighboring root nodes. Once selected, the backup root node may send the primary root node a networking identification and a corresponding group mesh key which the primary root node may forward to the first-hop nodes to cause the first-hop nodes to migrate to the backup root node when connectivity to the primary root node fails. In addition, the first-hop root nodes may migrate back to the primary root node when connectivity to the primary root node is restored.

    Abstract translation: 在一个实施例中,主根节点可以基于从第一跳节点接收的信息来检测一个或多个相邻根节点,并且可以在相邻根节点中选择备份根节点。 一旦被选择,备份根节点可以向主根节点发送组网标识和相应的组网格密钥,主基本节点可以转发到第一跳节点,以使第一跳节点迁移到备份根节点,当 与主根节点的连接失败。 此外,当恢复与主根节点的连接时,第一跳根节点可能会迁移回主根节点。

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