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    • 61. 发明申请
    • METHODS AND APPARATUS TO IMPLEMENT SCALABLE ROUTING IN NETWORK COMMUNICATION SYSTEMS
    • 在网络通信系统中实现可扩展路由的方法和设备
    • US20120275344A1
    • 2012-11-01
    • US13531018
    • 2012-06-22
    • Mohammad HajiaghayiMohammad Hossein BateniAlexandre GerberSubhabrata Sen
    • Mohammad HajiaghayiMohammad Hossein BateniAlexandre GerberSubhabrata Sen
    • H04L12/46
    • H04L45/00H04L45/123H04L45/125
    • An example method involves for a first virtual private network (VPN) installed on a candidate hub router, selecting a first spoke-to-hub assignment solution having a first least memory utilization cost to assign the candidate hub router a quantity of first virtual private edge (VPE) routers serving the first VPN; for a second VPN installed on the candidate hub router, selecting a second spoke-to-hub assignment solution having a second least memory utilization cost to assign the candidate hub router a quantity of second VPE routers serving the second VPN; determining third least memory utilization costs to assign the candidate hub router to a quantity of the first VPE routers, and fourth least memory utilization costs to assign the candidate hub router to a quantity of the second VPE routers; and selecting the first or second spoke-to-hub assignment solution for the candidate hub router based on the least memory utilization costs.
    • 示例性方法涉及安装在候选集线器路由器上的第一虚拟专用网络(VPN),选择具有第一最小存储器利用成本的第一分散对集线器分配解决方案以分配候选集线器路由器数量的第一虚拟私有边缘 (VPE)路由器服务第一个VPN; 对于安装在所述候选集线器路由器上的第二VPN,选择具有第二最小存储器利用成本的第二辐射对集线器分配解决方案来为所述候选集线器路由器分配服务于所述第二VPN的第二VPE路由器的数量; 确定将所述候选集线器路由器分配给所述第一VPE路由器的数量的第三最小存储器利用成本以及将所述候选集线器路由器分配给所述第二VPE路由器的数量的第四最小存储器利用成本; 以及基于所述最小存储器利用成本为所述候选集线器路由器选择所述第一或第二辐条对集线器分配解决方案。
    • 62. 发明授权
    • Methods and apparatus to implement scalable routing in network communication systems
    • 在网络通信系统中实现可扩展路由的方法和装置
    • US08218454B2
    • 2012-07-10
    • US12563815
    • 2009-09-21
    • Mohammad HajiaghayiMohammad Hossein BateniAlexandre GerberSubhabrata Sen
    • Mohammad HajiaghayiMohammad Hossein BateniAlexandre GerberSubhabrata Sen
    • H04L12/28
    • H04L45/00H04L45/123H04L45/125
    • 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.
    • 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。
    • 63. 发明授权
    • System and method for spatially consistent sampling of flow records at constrained, content-dependent rates
    • 以受限制的,依赖内容的速率对流记录进行空间一致采样的系统和方法
    • US08064359B2
    • 2011-11-22
    • US12343007
    • 2008-12-23
    • Nicholas DuffieldLee M. BreslauCheng EeAlexandre GerberCarsten LundSubhabrata Sen
    • Nicholas DuffieldLee M. BreslauCheng EeAlexandre GerberCarsten LundSubhabrata Sen
    • H04L12/26
    • H04L43/026H04L43/024Y02D50/30
    • Disclosed herein are systems, computer-implemented methods, and computer-readable media for sampling network traffic. The method includes receiving a desired quantity of flow record to sample, receiving a plurality of network flow record each summarizing a network flow of packets, calculating a hash for each flow record of based on one or more invariant part of a respective flow, generating a quasi-random number from the calculated hash for each respective flow record, generating a priority from the calculated hash for each respective flow record, and sampling exactly the desired quantity of flow records, selecting flow records having a highest priority first. In one aspect, the method further partitions the plurality of flow records into groups based on flow origin and destination, generates an individual priority for each partitioned group, and separately samples exactly the desired quantity of flow records from each partitioned group, selecting flows having a highest individual priority first.
    • 本文公开了系统,计算机实现的方法和用于对网络业务进行采样的计算机可读介质。 该方法包括接收所需数量的流记录到采样中,接收多个网络流记录,每个汇总分组的网络流,基于相应流的一个或多个不变部分计算每个流记录的散列, 从每个相应流记录的计算散列中产生准随机数,从每个相应流记录的计算散列生成优先级,并精确地采样所需数量的流记录,首先选择具有最高优先级的流记录。 在一个方面,该方法还基于流源和目的地进一步将多个流记录划分为组,为每个分区组生成一个单独的优先级,并且从每个分区组中分别精确地采集所需数量的流记录,选择具有 最高个人优先。
    • 64. 发明申请
    • SYSTEM AND METHOD FOR SAMPLING NETWORK TRAFFIC
    • 用于采集网络交通的系统和方法
    • US20100161791A1
    • 2010-06-24
    • US12342957
    • 2008-12-23
    • Nicholas DuffieldLee M. BreslauCheng EeAlexandre GerberCarsten LundSubhabrata Sen
    • Nicholas DuffieldLee M. BreslauCheng EeAlexandre GerberCarsten LundSubhabrata Sen
    • G06F15/173
    • H04L43/04H04L43/022H04L43/026H04L43/062
    • Disclosed herein are systems, computer-implemented methods, and computer-readable media for sampling network traffic. The method includes receiving a plurality of flow records, calculating a hash for each flow record based on one or more invariant part of a respective flow, generating a quasi-random number from the calculated hash for each respective flow record, and sampling flow records having a quasi-random number below a probability P. Invariant parts of flow records include destination IP address, source IP address, TCP/UDP port numbers, TCP flags, and network protocol. A plurality of routers can uniformly calculate hashes for flow records. Each router in a plurality of routers can generate a same quasi-random number for each respective flow record and uses different values for probability P. The probability P can depend on a flow size. The method can divide the quasi-random number by a maximum possible hash value.
    • 本文公开了系统,计算机实现的方法和用于对网络业务进行采样的计算机可读介质。 该方法包括:接收多个流记录,基于相应流的一个或多个不变部分计算每个流记录的散列,从针对每个相应流记录的计算出的散列生成准随机数,以及对具有 低于概率P的准随机数。流记录的不变部分包括目的地IP地址,源IP地址,TCP / UDP端口号,TCP标志和网络协议。 多个路由器可以统一计算流记录的哈希值。 多个路由器中的每个路由器可以为每个相应的流记录生成相同的准随机数,并对概率P使用不同的值。概率P可以取决于流量大小。 该方法可以将准随机数除以最大可能的哈希值。
    • 66. 发明申请
    • SYSTEM AND METHOD FOR SPATIALLY CONSISTENT SAMPLING OF FLOW RECORDS AT CONSTRAINED, CONTENT-DEPENDENT RATES
    • 流量记录的空间一致采样的系统和方法在受约束的内容依赖率
    • US20100157809A1
    • 2010-06-24
    • US12343007
    • 2008-12-23
    • Nicholas DuffieldLee M. BreslauCheng EeAlexandre GerberCarsten LundSubhabrata Sen
    • Nicholas DuffieldLee M. BreslauCheng EeAlexandre GerberCarsten LundSubhabrata Sen
    • G06F11/30
    • H04L43/026H04L43/024Y02D50/30
    • Disclosed herein are systems, computer-implemented methods, and computer-readable media for sampling network traffic. The method includes receiving a desired quantity of flow record to sample, receiving a plurality of network flow record each summarizing a network flow of packets, calculating a hash for each flow record of based on one or more invariant part of a respective flow, generating a quasi-random number from the calculated hash for each respective flow record, generating a priority from the calculated hash for each respective flow record, and sampling exactly the desired quantity of flow records, selecting flow records having a highest priority first. In one aspect, the method further partitions the plurality of flow records into groups based on flow origin and destination, generates an individual priority for each partitioned group, and separately samples exactly the desired quantity of flow records from each partitioned group, selecting flows having a highest individual priority first.
    • 本文公开了系统,计算机实现的方法和用于对网络业务进行采样的计算机可读介质。 该方法包括接收所需数量的流记录到采样中,接收多个网络流记录,每个汇总分组的网络流,基于相应流的一个或多个不变部分计算每个流记录的散列, 从每个相应流记录的计算散列中产生准随机数,从每个相应流记录的计算散列生成优先级,并精确地采样所需数量的流记录,首先选择具有最高优先级的流记录。 在一个方面,该方法还基于流源和目的地进一步将多个流记录划分为组,为每个分区组生成一个单独的优先级,并且从每个分区组中分别精确地采集所需数量的流记录,选择具有 最高个人优先。
    • 69. 发明授权
    • Scalable traffic classifier and classifier training system
    • 可扩展流量分类器和分类器训练系统
    • US08311956B2
    • 2012-11-13
    • US12539430
    • 2009-08-11
    • Subhabrata SenNicholas DuffieldPatrick HaffnerJeffrey ErmanYu Jin
    • Subhabrata SenNicholas DuffieldPatrick HaffnerJeffrey ErmanYu Jin
    • G06F15/18
    • G06N99/005
    • 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.
    • 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。