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    • 3. 发明申请
    • Wireless MAC and link-layer simulation modeling
    • 无线MAC和链路层仿真建模
    • US20070036088A1
    • 2007-02-15
    • US11501388
    • 2006-08-09
    • Pradeep SinghAlain CohenAlejandro Talavera-MartinezArun PasupathyPoonam SinghIbrahim Moral
    • Pradeep SinghAlain CohenAlejandro Talavera-MartinezArun PasupathyPoonam SinghIbrahim Moral
    • H04J1/16H04L12/413
    • H04W16/225H04W74/00
    • Simulation models of media access control and physical layer characteristics facilitate the simulation/emulation of a variety of phenomena that affect transmissions via a wireless media. Such phenomena include media access contention delays, packet drops, and retransmissions that are generally dependent upon changes in transmitter/receiver locations. Each wireless environment is characterized by a model of the communication channel that characterizes transmission effects based on the number of competing transmitters in the environment, which is dynamically determined based on the location of each node in the environment. Additionally, the location of nodes is used to simulate the effects of ‘hidden nodes’, nodes that are unknown to a transmitting node but can interfere with the reception of transmissions at a receiving node. Each device/node model in the wireless environment preferably accesses the same model of the communication channel, thereby minimizing the amount of detail required at each device model.
    • 介质访问控制和物理层特性的仿真模型有助于模拟/仿真影响通过无线介质传输的各种现象。 这种现象包括通常取决于发射机/接收机位置的改变的媒体接入争用延迟,分组丢弃和重传。 每个无线环境的特征在于基于环境中的竞争发射机的数量来表征传输效应的通信信道的模型,其基于环境中的每个节点的位置动态地确定。 另外,节点的位置用于模拟“隐藏节点”,发送节点未知的节点的影响,但可能会干扰接收节点的传输接收。 无线环境中的每个设备/节点模型优选地访问通信信道的相同模型,从而最小化每个设备模型所需的细节量。
    • 8. 发明授权
    • Traffic flow inference based on link loads and gravity measures
    • 基于链路负载和重力测量的交通流推理
    • US08095645B2
    • 2012-01-10
    • US11755089
    • 2007-05-30
    • Bobby NinanGordon M. BoltEdward SykesScott GlasserAlain CohenYevgeny Gurevich
    • Bobby NinanGordon M. BoltEdward SykesScott GlasserAlain CohenYevgeny Gurevich
    • G06F15/173
    • H04L41/22H04L43/0882
    • Traffic flow between each pair of nodes in a network are determined based on loads measured at each link and based on gravity measures associated with each node. The gravity measures correspond to a relative likelihood of the node being a source or a sink of traffic, and may be assigned based on ‘soft’ characteristics associated with each node, such as the demographics of the region in which the node is located, prior sinking and sourcing statistics, and so on. Because the assigned gravities are relatively subjective, the gravity measures are used to generate an objective function for solving a system of linear equations, rather than as criteria that must be satisfied in the solution. The measured link loads are allocated among the traffic flows between nodes to at least a given allocation efficiency criteria by solving a system of linear equations with an objective of minimizing a difference between the assigned gravities and the resultant gravities corresponding to the determined flows.
    • 基于在每个链路处测量的负载并且基于与每个节点相关联的重力测量来确定网络中每对节点之间的业务流。 重力测量对应于节点是业务的源或信宿的相对似然性,并且可以基于与每个节点相关联的“软”特性来分配,诸如节点所在的区域的人口统计 下沉和采购统计等等。 由于分配的重力是相对主观的,所以使用重力测量来产生用于求解线性方程组的目标函数,而不是解决方案中必须满足的标准。 测量的链路负载在节点之间的业务流中被分配到至少给定的分配效率标准,通过求解线性方程组的系统,目的是最小化与所确定的流对应的所分配的重力与所得到的重力之间的差异。
    • 9. 发明申请
    • Identifying a transaction of interest within a network
    • 识别网络中的兴趣交易
    • US20070047438A1
    • 2007-03-01
    • US11506649
    • 2006-08-18
    • Patrick MalloyRussell ElsnerJohn StrohmAlain CohenSteven NiemczykMarc Schneider
    • Patrick MalloyRussell ElsnerJohn StrohmAlain CohenSteven NiemczykMarc Schneider
    • H04L12/26
    • H04L41/5067H04L41/22
    • Transactions within a transmission stream are identified that are related to an activity. The transactions are classified utilizing characteristics that identify the activity. Packets of the transaction are extracted from the transmission stream that corresponds to the activity. The extracted packets are presented in a visualization that identifies the packets and source and sink devices of the packets. The packets may be identified from a network trace. Classifying transactions includes identifying patterns present in packets to identify related transactions and/or packets that are temporally correlated. The characteristics may include heuristics related to a communication protocol of the transactions, examining temporal relationships of the packets, and/or identifying DNS requests related to the packets. The extracted packets may be presented as a tier pair circle wherein related devices are presented around a circumference of the tier pair circle and packet traffic between devices is indicated by a joining line.
    • 识别与活动相关的传输流内的事务。 交易根据识别活动的特征进行分类。 从与活动相对应的传输流中提取事务的分组。 提取的分组被呈现在标识分组的分组和分组的源和宿设备的可视化中。 可以从网络迹线识别分组。 分类事务包括识别分组中存在的模式以识别与时间上相关的相关事务和/或分组。 特征可以包括与交易的通信协议相关的启发式,检查分组的时间关系和/或识别与分组相关的DNS请求。 提取的分组可以呈现为层对圆,其中相关设备围绕层对圆的周围呈现,并且设备之间的分组业务由连接线指示。
    • 10. 发明申请
    • Tracing routing differences
    • 跟踪路由差异
    • US20070025328A1
    • 2007-02-01
    • US11494692
    • 2006-07-27
    • Alain CohenPradeep SinghVinod JeyachandranNitin Gupta
    • Alain CohenPradeep SinghVinod JeyachandranNitin Gupta
    • H04L12/28H04L12/56
    • H04L45/28H04L45/02H04L45/54
    • A routing validation method and system identifies routers that are likely to be the cause of differences in forwarding tables associated with two versions of a network. Each destination sub-network prefix is processed to identify all the routers that exhibit differences in their forwarding table for this prefix. Each router exhibiting a difference is assessed to determine whether the difference may have been propagated to this router from another router. If the difference could not have been propagated from another router, this router is identified as a potential source of the observed difference. By eliminating routers that could have received the effects of the differences from another router, the task of identifying the root cause of the observed differences is substantially reduced in complexity.
    • 路由验证方法和系统识别可能是与两个网络版本相关联的转发表中的差异的原因的路由器。 处理每个目标子网络前缀以标识在其前缀的转发表中表现出差异的所有路由器。 评估每个出现差异的路由器,以确定差异是否可能已经从另一个路由器传播到该路由器。 如果差异不能从另一个路由器传播,则该路由器被识别为观察到的差异的潜在来源。 通过消除可能已经接收到来自另一个路由器的差异的影响的路由器,识别所观察到的差异的根本原因的任务在复杂性上显着降低。