Inferring TCP Initial Congestion Window
    12.
    发明申请
    Inferring TCP Initial Congestion Window 失效
    推迟TCP初始拥塞窗口

    公开(公告)号:US20110096662A1

    公开(公告)日:2011-04-28

    申请号:US12607240

    申请日:2009-10-28

    CPC classification number: H04L47/365 H04L47/193 H04L47/27 H04L47/28

    Abstract: A packet trace is received. Inter-arrival times between the multiple packets in the packet trace are determined. An inter-arrival time in the inter-arrival times that is greater than a threshold is identified. An order number of the inter-arrival time is identified. A determination is made as to whether a size of each of at least a portion of the multiple packets is equal to a maximum segment size. When a determination is made that the size of each of at least a portion of the multiple packets is equal to the maximum segment size a size of the ICW as a product of the order number and the maximum segment size is returned.

    Abstract translation: 收到数据包跟踪。 确定分组跟踪中的多个分组之间的到达之间的时间。 确定到达时间之间的到达时间大于阈值。 识别到达时间的订单号。 确定多个分组的至少一部分中的每一个的大小是否等于最大分段大小。 当确定多个分组的至少一部分中的每一个的大小等于最大分段大小时,返回作为订单号和最大分段大小的乘积的ICW的大小。

    METHODS AND APPARATUS TO IMPLEMENT SCALABLE ROUTING IN NETWORK COMMUNICATION SYSTEMS
    13.
    发明申请
    METHODS AND APPARATUS TO IMPLEMENT SCALABLE ROUTING IN NETWORK COMMUNICATION SYSTEMS 有权
    在网络通信系统中实现可扩展路由的方法和设备

    公开(公告)号:US20110069634A1

    公开(公告)日:2011-03-24

    申请号:US12563815

    申请日:2009-09-21

    CPC classification number: H04L45/00 H04L45/123 H04L45/125

    Abstract: Methods and apparatus to implement scalable routing in network communication systems are disclosed. A disclosed example method involves selecting a plurality of virtual private networks in a communication network and selecting a candidate hub router from a plurality of routers in the communication network. The example method also involves determining a plurality of least memory utilization costs associated with assigning different quantities of spoke routers to the candidate hub router. Each of the least memory utilization costs and corresponding quantity of spoke routers is associated with a corresponding one of the plurality of virtual private networks. For each of the least memory utilization costs, a bandwidth usage of a corresponding one of the quantities of spoke routers is identified. The candidate hub router is selected to operate as a hub router for one of the quantities of spoke routers associated with a corresponding one of the bandwidth usages that does not exceed a bandwidth capacity of the candidate hub router.

    Abstract translation: 公开了在网络通信系统中实现可扩展路由的方法和装置。 公开的示例方法包括在通信网络中选择多个虚拟专用网络,并从通信网络中的多个路由器中选择候选集线器。 示例性方法还涉及确定与候选集线器路由器分配不同数量的分支路由器相关联的多个最小存储器利用成本。 每个最小内存利用成本和相应数量的分支路由器都与多个虚拟专用网络中相应的一个相关联。 对于每个最小的存储器利用成本,识别辐射路由器的相应数量的带宽使用。 选择候选集线器路由器作为与不超过候选集线器路由器的带宽容量的相应一个带宽用途相关联的辐射路由器数量之一的集线器路由器。

    Scalable multiprotocol label switching based virtual private networks and methods to implement the same
    14.
    发明授权
    Scalable multiprotocol label switching based virtual private networks and methods to implement the same 有权
    基于可扩展多协议标签交换的虚拟专用网和实现相同的方法

    公开(公告)号:US07796607B2

    公开(公告)日:2010-09-14

    申请号:US12130329

    申请日:2008-05-30

    CPC classification number: H04L45/00 H04L12/4641 H04L45/50

    Abstract: Example scalable multi-protocol label switching (MPLS) based virtual private networks (VPNs) and methods to implement the same are disclosed. A disclosed example spoke provider edge (PE) router for an MPLS-based VPN includes a truncated virtual routing and forwarding (VRF) table containing a first value referencing a hub PE router and a second value referencing a first customer edge (CE) router coupled to the VPN via the PE router, and a forwarding module to forward a packet received from the first CE router to the hub PE router when the packet contains an address referencing a second CE router coupled to the VPN via a second spoke PE router.

    Abstract translation: 披露了基于虚拟专用网(VPN)的可扩展多协议标签交换(MPLS)示例及其实现方法。 用于基于MPLS的VPN的公开的示例性分支提供商边缘(PE)路由器包括截断的虚拟路由和转发(VRF)表,其包含引用集线器PE路由器的第一值,以及引用耦合的第一客户边缘(CE)路由器的第二值 通过PE路由器到VPN,以及转发模块,用于当分组包含参考经由第二辐条PE路由器耦合到VPN的第二CE路由器的地址时,将从第一CE路由器接收的分组转发到集线器PE路由器。

    Method for implementing and reporting one-way network measurements
    17.
    发明申请
    Method for implementing and reporting one-way network measurements 有权
    实现和报告单向网络测量的方法

    公开(公告)号:US20070268882A1

    公开(公告)日:2007-11-22

    申请号:US11478948

    申请日:2006-06-30

    CPC classification number: H04L43/10 H04L43/026 H04L43/50 Y02D50/30

    Abstract: A method is disclosed for implementing and reporting network measurements between a source of probe packets and an element, such as a router. The invention exploits commonly implemented features on commercial elements. By exploiting these features, the expense of deploying special purpose measurement devices can be avoided. In one aspect of the invention, a plurality of probe packets is transmitted in a packet network with each of the probe packets having the same key and the same aggregation characteristic. A report is then received from an instructionless element regarding the plurality of probe packets, thereby enabling measurement of a parameter of the packet network.

    Abstract translation: 公开了一种用于实现和报告探测分组的源和诸如路由器的元件之间的网络测量的方法。 本发明利用了商业元素上普遍实现的功能。 通过利用这些功能,可以避免部署专用测量设备的费用。 在本发明的一个方面,在分组网络中发送多个探测分组,每个探测分组具有相同的密钥和相同的聚合特性。 然后从关于多个探测分组的无指令元素接收到报告,从而能够测量分组网络的参数。

    Load balancing techniques for inter-domain traffic engineering
    18.
    发明申请
    Load balancing techniques for inter-domain traffic engineering 有权
    域间流量工程的负载均衡技术

    公开(公告)号:US20050182849A1

    公开(公告)日:2005-08-18

    申请号:US10781542

    申请日:2004-02-17

    Abstract: A method for balancing traffic across paths connecting a network to the Internet using a fractional allocation strategy for distributing the traffic from a congested selected path. The strategy includes: (a) associating the paths j with a counter i; (b) calculating the total initial selected path overload; (c) calculating the selected path load, wherein the load is equal to the initial selected path overload less the sum of the low capacity boundary for i path(s); (d) calculating the portion of the traffic on the selected path to be distributed using a bi-sectional search strategy; (e) distributing a portion of the traffic on the selected path to the other paths; and (f) stopping if there are no more paths (i=j), otherwise increasing the numerical value of the counter by one (1) and go to step (c).

    Abstract translation: 一种用于使用分数分配策略来平衡通过连接网络到因特网的路径之间的流量的方法,用于分配来自拥塞的所选路径的流量。 该策略包括:(a)将路径j与计数器i相关联; (b)计算总初始选择路径过载; (c)计算所选择的路径负载,其中负载等于初始选择的路径过载,减去i路径的低容量边界的和; (d)使用双向搜索策略计算要分配的所选路径上的业务部分; (e)将所选路径上的一部分业务分发到其他路径; 和(f)如果没有更多的路径(i = j)停止,否则将计数器的数值增加1(1)并转到步骤(c)。

    Scalable traffic classifier and classifier training system
    19.
    发明授权
    Scalable traffic classifier and classifier training system 有权
    可扩展流量分类器和分类器训练系统

    公开(公告)号:US09349102B2

    公开(公告)日:2016-05-24

    申请号:US13620668

    申请日:2012-09-14

    CPC classification number: G06N99/005

    Abstract: A traffic classifier has a plurality of binary classifiers, each associated with one of a plurality of calibrators. Each calibrator trained to translate an output score of the associated binary classifier into an estimated class probability value using a fitted logistic curve, each estimated class probability value indicating a probability that the packet flow on which the output score is based belongs to the traffic class associated with the binary classifier associated with the calibrator. The classifier training system configured to generate a training data based on network information gained using flow and packet sampling methods. In some embodiments, the classifier training system configured to generate reduced training data sets, one for each traffic class, reducing the training data related to traffic not associated with the traffic class.

    Abstract translation: 流量分类器具有多个二进制分类器,每个二进制分类器与多个校准器之一相关联。 每个校准器被训练成使用拟合的逻辑曲线将相关联的二进制分类器的输出得分转换成估计的类概率值,每个估计的类概率值指示输出得分所基于的分组流的概率属于相关联的流量类别 与校准器相关联的二进制分类器。 分类器训练系统被配置为基于使用流和分组采样方法获得的网络信息生成训练数据。 在一些实施例中,分类器训练系统被配置为生成减少的训练数据集,每个业务类别一个,减少与业务类别不相关的业务相关的训练数据。

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