Automatic detection of separators for compression
    51.
    发明授权
    Automatic detection of separators for compression 有权
    自动检测分离器进行压缩

    公开(公告)号:US08051060B1

    公开(公告)日:2011-11-01

    申请号:US12378336

    申请日:2009-02-13

    CPC classification number: G06F17/30908

    Abstract: A method that accepts a data file, iteratively tests different information units as record delimiters and field delimiters, and chooses as the data files record delimiter, R, and field delimiter, F, the information units that result in the lowest generalized entropy that is computed on fields created by use of the chosen delimiter pair R,F.

    Abstract translation: 接受数据文件的方法,迭代地测试不同的信息单元作为记录分隔符和字段分隔符,并选择数据文件记录定界符R和字段分隔符F,导致计算出的最低广义熵的信息单元 在通过使用所选定界符对R,F创建的字段上。

    Method and apparatus for one-way passive loss measurements using sampled flow statistics
    53.
    发明授权
    Method and apparatus for one-way passive loss measurements using sampled flow statistics 有权
    使用采样流统计的单向无源损耗测量的方法和装置

    公开(公告)号:US07924739B2

    公开(公告)日:2011-04-12

    申请号:US12317420

    申请日:2008-12-22

    Abstract: A packet loss estimation technique is disclosed that utilizes the sampled flow level statistics that are routinely collected in operational networks, thereby obviating the need for any new router features or measurement infrastructure. The technique is specifically designed to handle the challenges of sampled flow-level aggregation such as information loss resulting from packet sampling, and generally comprises: receiving a first record of sampled packets for a flow from a first network element; receiving a second record of sampled packets for the flow from a second network element communicating with the first network element; correlating sampled packets from the flow at the first network element and the second network element to a measurement interval; and estimating the packet loss using a count of the sampled packets correlated to the measurement interval.

    Abstract translation: 公开了一种利用在操作网络中常规收集的采样流量统计信息的分组丢失估计技术,从而避免了对任何新的路由器特征或测量基础设施的需要。 该技术专门设计用于处理采样流级聚合的挑战,例如由分组采样导致的信息丢失,并且通常包括:从第一网络元件接收流的第一采样分组记录; 从与第一网络元件通信的第二网络元件接收用于流的采样分组的第二记录; 将来自第一网元和第二网元的流的采样分组相关联到测量间隔; 以及使用与测量间隔相关联的采样分组的计数来估计分组丢失。

    Systems and methods for proactive surge protection
    55.
    发明授权
    Systems and methods for proactive surge protection 有权
    主动浪涌保护的系统和方法

    公开(公告)号:US07860004B2

    公开(公告)日:2010-12-28

    申请号:US12180309

    申请日:2008-07-25

    Abstract: A system for protecting a network from a traffic surge includes a data collection module, an allocation module, and a traffic flow module. The data collection module is configured to obtain network utilization information for a plurality of traffic flows. The allocation module is configured to determine a bandwidth allocation to minimize a drop probability for the plurality of traffic flows. The traffic flow module is configured to preferentially drop network packets for a traffic flow exceeding the optimal bandwidth allocation.

    Abstract translation: 用于保护网络免受流量波动的系统包括数据收集模块,分配模块和业务流模块。 数据采集​​模块被配置为获得多个业务流的网络利用信息。 分配模块被配置为确定带宽分配以最小化多个业务流的丢弃概率。 流量模块配置为优先丢弃超过最优带宽分配的业务流的网络报文。

    SYSTEM AND METHOD FOR SAMPLING NETWORK TRAFFIC
    56.
    发明申请
    SYSTEM AND METHOD FOR SAMPLING NETWORK TRAFFIC 有权
    用于采集网络交通的系统和方法

    公开(公告)号:US20100161791A1

    公开(公告)日:2010-06-24

    申请号:US12342957

    申请日:2008-12-23

    CPC classification number: H04L43/04 H04L43/022 H04L43/026 H04L43/062

    Abstract: 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.

    Abstract translation: 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。

    METHOD AND APPARATUS FOR INFERRING THE PRESENCE OF STATIC INTERNET PROTOCOL ADDRESS ALLOCATIONS
    57.
    发明申请
    METHOD AND APPARATUS FOR INFERRING THE PRESENCE OF STATIC INTERNET PROTOCOL ADDRESS ALLOCATIONS 失效
    感染静态互联网协议地址分配的方法和设备

    公开(公告)号:US20100161535A1

    公开(公告)日:2010-06-24

    申请号:US12338551

    申请日:2008-12-18

    CPC classification number: H04L29/12273 H04L61/2053

    Abstract: A method and apparatus for inferring if an IP address allocation in a remote network is static or dynamic are disclosed. For example, the method contacts at least one remote peer to peer endpoint using a peer to peer application to obtain an IP address of the at least one remote peer to peer endpoint. The method then analyzes characteristics of the at least one remote peer to peer endpoint over a predefined period of time to infer whether the presence of static IP address allocation exists for the at least one remote peer to peer endpoint.

    Abstract translation: 一种用于推断远程网络中的IP地址分配是静态还是动态的方法和装置。 例如,该方法使用对等应用联系至少一个远程对等端点,以获得至少一个远程对等端点的IP地址。 该方法然后在预定义的时间段内分析至少一个远程对等端点的特性,以推断对于至少一个远程对等端点是否存在静态IP地址分配的存在。

    Statistical, Signature-Based Approach to IP Traffic Classification
    58.
    发明申请
    Statistical, Signature-Based Approach to IP Traffic Classification 失效
    统计,基于签名的IP流量分类方法

    公开(公告)号:US20100085889A1

    公开(公告)日:2010-04-08

    申请号:US12635127

    申请日:2009-12-10

    CPC classification number: H04L41/5022 H04L41/142

    Abstract: A signature-based traffic classification method maps traffic into preselected classes of service (CoS). By analyzing a known corpus of data that clearly belongs to identified ones of the preselected classes of service, in a training session the method develops statistics about a chosen set of traffic features. In an analysis session, relative to traffic of the network where QoS treatments are desired (target network), the method obtains statistical information relative to the same chosen set of features for values of one or more predetermined traffic attributes that are associated with connections that are analyzed in the analysis session, yielding a statistical features signature of each of the values of the one ore more attributes. A classification process then establishes a mapping between values of the one or more predetermined traffic attributes and the preselected classes of service, leading to the establishment of QoS treatment rules.

    Abstract translation: 基于签名的流量分类方法将流量映射到预选的服务等级(CoS)。 通过分析明确属于所选择的服务类别的已知数据库,在训练课程中,该方法开发关于所选择的一组交通特征的统计。 在分析会话中,相对于期望QoS处理的网络的业务量(目标网络),该方法获得相对于与所连接的连接相关联的一个或多个预定业务属性的值的相同所选择的特征集的统计信息 在分析会话中进行分析,产生一个或多个属性的每个值的统计特征签名。 然后,分类过程建立一个或多个预定业务属性的值与预选的业务类别之间的映射,导致建立QoS处理规则。

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