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    • 1. 发明申请
    • METHODS AND APPARATUS TO DISTRIBUTE NETWORK IP TRAFFIC
    • 分配网络IP交通的方法和设备
    • US20100008363A1
    • 2010-01-14
    • US12343719
    • 2008-12-24
    • Cheng Tien EeLee M. BreslauKadangode K. Ramakrishnan
    • Cheng Tien EeLee M. BreslauKadangode K. Ramakrishnan
    • H04L12/56
    • H04L45/72H04L43/0864H04L43/10H04L43/50
    • Example methods and apparatus to distribute network IP traffic are disclosed. A disclosed example method includes receiving a first IP control packet at an input of a first server, the first IP control packet being received from a first router, selecting a second router within a router array associated with the first router to send the first IP control packet, the first server selecting the second router by matching a destination IP address of the first IP control packet to a first IP address subspace associated with the second router, transmitting the first IP control packet to the second router, and updating a forwarding table in the first router by associating the destination IP address of the first IP control packet with a first control path from the first router to the second router.
    • 公开了分发网络IP流量的示例方法和设备。 所公开的示例性方法包括在第一服务器的输入处接收第一IP控制分组,从第一路由器接收第一IP控制分组,选择与第一路由器相关联的路由器阵列内的第二路由器以发送第一IP控制 分组,所述第一服务器通过将所述第一IP控制分组的目的地IP地址与与所述第二路由器相关联的第一IP地址子空间匹配来选择所述第二路由器,将所述第一IP控制分组发送到所述第二路由器,并且更新 所述第一路由器通过将所述第一IP控制分组的目的地IP地址与从所述第一路由器到所述第二路由器的第一控制路径相关联。
    • 5. 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。
    • 8. 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。
    • 9. 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。