REDUCED AUTHENTICATION TIMES IN CONSTRAINED COMPUTER NETWORKS
    111.
    发明申请
    REDUCED AUTHENTICATION TIMES IN CONSTRAINED COMPUTER NETWORKS 审中-公开
    约束计算机网络中的减少认证时间

    公开(公告)号:US20170054644A1

    公开(公告)日:2017-02-23

    申请号:US15341315

    申请日:2016-11-02

    Abstract: In one embodiment, a capable node in a low power and lossy network (LLN) may monitor the authentication time for one or more nodes in the LLN. The capable node may dynamically correlate the authentication time with the location of the one or more nodes in the LLN in order to identify one or more authentication-delayed nodes. The node may then select, based on the location of the one or more authentication-delayed nodes, one or more key-delegation nodes to receive one or more network keys so that the key-delegation nodes may perform localized authentication of one or more of the authentication-delayed nodes. The capable node may then distribute the one or more network keys to the one or more key-delegation nodes.

    Abstract translation: 在一个实施例中,低功率和有损网络(LLN)中的能力节点可以监视LLN中的一个或多个节点的认证时间。 能力节点可以将认证时间与LLN中的一个或多个节点的位置动态相关,以便识别一个或多个认证延迟节点。 然后,节点可以基于一个或多个认证延迟的节点的位置来选择一个或多个密钥委派节点来接收一个或多个网络密钥,使得密钥委派节点可以执行一个或多个 认证延迟节点。 有能力的节点可以然后将一个或多个网络密钥分配给一个或多个密钥委派节点。

    Traffic shaping based on predicted network resources
    112.
    发明授权
    Traffic shaping based on predicted network resources 有权
    基于预测网络资源的流量整形

    公开(公告)号:US09552550B2

    公开(公告)日:2017-01-24

    申请号:US14276363

    申请日:2014-05-13

    Abstract: In one embodiment, a committed information rate (CIR) prediction is received from a machine learning model that corresponds to a predicted average traffic rate supported by a network connection. A traffic shaping strategy is adjusted based on the CIR prediction. A rate at which data is communicated over the network connection may be based on the traffic shaping policy. The effects of the adjusted traffic shaping strategy are also monitored. Feedback is further provided to the machine learning model based on the monitored effects of the adjusted traffic shaping strategy.

    Abstract translation: 在一个实施例中,从与由网络连接支持的预测平均业务速率相对应的机器学习模型接收到承诺信息速率(CIR)预测。 根据CIR预测调整流量整形策略。 通过网络连接传送数据的速率可以基于流量整形策略。 调整流量整形策略的效果也受到监控。 基于调整后的流量整形策略的监控效果,进一步向机器学习模型提供反馈。

    Lightweight multicast acknowledgement technique in communication networks
    113.
    发明授权
    Lightweight multicast acknowledgement technique in communication networks 有权
    通信网络中的轻量组播确认技术

    公开(公告)号:US09544162B2

    公开(公告)日:2017-01-10

    申请号:US14040844

    申请日:2013-09-30

    Abstract: In one embodiment, a message is received at a caching node in a network including an indication of the message's urgency. The message is transmitted to child nodes of the caching node, and upon transmitting the message, a retransmission timer is initiated when the message is urgent, based on the indication of the message's urgency. Then, one or more acknowledgements of receipt of the transmitted message are received from one or more of the child nodes, respectively. Upon expiration of the retransmission timer, when it is determined that one or more of the child nodes did not receive the transmitted message based on the received acknowledgements, the message is retransmitted to the child nodes.

    Abstract translation: 在一个实施例中,在网络中的高速缓存节点处接收消息,包括消息的紧急性的指示。 该消息被发送到高速缓存节点的子节点,并且在发送消息时,基于消息的紧急性的指示,当消息紧急时,发起重传定时器。 然后,分别从一个或多个子节点接收一个或多个接收到发送的消息的确认。 在重传定时器到期时,当确定一个或多个子节点基于接收到的确认没有接收到所发送的消息时,该消息被重传到子节点。

    Distributed architecture for machine learning based computation using a decision control point
    114.
    发明授权
    Distributed architecture for machine learning based computation using a decision control point 有权
    基于机器学习的分布式架构,使用决策控制点进行计算

    公开(公告)号:US09443204B2

    公开(公告)日:2016-09-13

    申请号:US13954230

    申请日:2013-07-30

    CPC classification number: G06N99/005 G06F11/3433 H04L67/1029

    Abstract: In one embodiment, a request is received from a requesting node in a network to assist in distributing a task of the requesting node. Upon receiving the message, a capability to perform the task of one or more helping nodes in the network is evaluated, and a helping node of the one or more helping nodes is selected to perform the task based on the evaluated capability of the selected helping node. The distribution of the task is then authorized from the requesting node to the selected helping node.

    Abstract translation: 在一个实施例中,从网络中的请求节点接收到请求以帮助分发请求节点的任务。 在接收到消息时,评估执行网络中的一个或多个帮助节点的任务的能力,并且基于所选择的帮助节点的评估能力来选择一个或多个帮助节点的帮助节点来执行任务 。 然后从请求节点向所选择的帮助节点授权任务的分发。

    Accelerating learning by sharing information between multiple learning machines
    115.
    发明授权
    Accelerating learning by sharing information between multiple learning machines 有权
    通过在多学习机器之间共享信息来加速学习

    公开(公告)号:US09436917B2

    公开(公告)日:2016-09-06

    申请号:US13937631

    申请日:2013-07-09

    CPC classification number: G06N99/005 H04L29/12 H04L61/00

    Abstract: In one embodiment, variables maintained by each of a plurality of Learning Machines (LMs) are determined. The LMs are hosted on a plurality of Field Area Routers (FARs) in a network, and the variables are sharable between the FARs. A plurality of correlation values defining a correlation between the variables is calculated. Then, a cluster of FARs is computed based on the plurality of correlation values, such that the clustered FARs are associated with correlated variables, and the cluster allows the clustered FARs to share their respective variables.

    Abstract translation: 在一个实施例中,确定由多个学习机器(LM)中的每一个维护的变量。 LM在网络中托管在多个场区域路由器(FAR)上,变量在FAR之间可共享。 计算定义变量之间的相关性的多个相关值。 然后,基于多个相关值计算一组FAR,使得聚类FAR与相关变量相关联,并且该群集允许群集FAR共享其各自的变量。

    DATA VISUALIZATION IN SELF LEARNING NETWORKS
    116.
    发明申请
    DATA VISUALIZATION IN SELF LEARNING NETWORKS 审中-公开
    数据可视化在自学习网络

    公开(公告)号:US20160219071A1

    公开(公告)日:2016-07-28

    申请号:US14990064

    申请日:2016-01-07

    CPC classification number: H04L63/1425 G06N20/00 H04L63/1416

    Abstract: In one embodiment, a first device in a network maintains raw traffic flow information for the network. The first device provides a compressed summary of the raw traffic flow information to a second device in the network. The second device is configured to transform the compressed summary for presentation to a user interface. The first device detects an anomalous traffic flow based on an analysis of the raw traffic flow information using a machine learning-based anomaly detector. The first device provides at least a portion of the raw traffic flow information related to the anomalous traffic flow to the second device for presentation to the user interface.

    Abstract translation: 在一个实施例中,网络中的第一设备维护网络的原始业务流信息。 第一个设备将原始流量信息的压缩摘要提供给网络中的第二个设备。 第二设备被配置为将用于呈现的压缩摘要转换为用户界面。 第一设备使用基于机器学习的异常检测器基于对原始业务流信息的分析来检测异常业务流。 第一设备将与异常业务流相关的原始业务流信息的至少一部分提供给第二设备以呈现给用户接口。

    Remote probing for remote quality of service monitoring
    117.
    发明授权
    Remote probing for remote quality of service monitoring 有权
    远程检测远程服务质量监控

    公开(公告)号:US09385933B2

    公开(公告)日:2016-07-05

    申请号:US13926672

    申请日:2013-06-25

    CPC classification number: H04L43/10

    Abstract: In one embodiment, a targeted node in a computer network receives a probe generation request (PGR), and in response, generates a link-local multicast PGR (PGR-Local) carrying instructions for generating probes based on the PGR. The targeted node then transmits the PGR-Local to neighbors of the targeted node to cause one or more of the neighbors to generate and transmit probes to a collection device in the computer network according to the PGR-Local instructions. In another embodiment, a particular node in a computer network receives a link-local multicast probe generation request (PGR-Local) from a targeted node in the computer network, the targeted node having received the PGR-Local from a remote device, and determines how to generate probes based on instructions carried within the PGR-Local before sending one or more probes to a collection device in the computer network according to the PGR-Local instructions.

    Abstract translation: 在一个实施例中,计算机网络中的目标节点接收探测生成请求(PGR),并且作为响应,生成携带用于基于PGR生成探测的指令的链路本地多播PGR(PGR-Local)。 目标节点然后将PGR-Local发送到目标节点的邻居,以使得一个或多个邻居根据PGR-Local指令在计算机网络中生成探测到发送设备。 在另一个实施例中,计算机网络中的特定节点从计算机网络中的目标节点接收链路本地多播探测生成请求(PGR-Local),目标节点已经从远程设备接收到PGR-Local,并且确定 根据PGR-Local指令,在将一个或多个探针发送到计算机网络中的收集设备之前,如何根据PGR-Local中携带的指令生成探测。

    Providing a backup network topology without service disruption
    120.
    发明授权
    Providing a backup network topology without service disruption 有权
    提供备份网络拓扑,而不会造成服务中断

    公开(公告)号:US09176832B2

    公开(公告)日:2015-11-03

    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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