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    • 4. 发明申请
    • NETWORK CAPACITY PLANNING
    • 网络容量规划
    • US20110055390A1
    • 2011-03-03
    • US12861832
    • 2010-08-24
    • Patrick J. MalloyDana ZnamovaAlain J. CohenAntoine DunnJohn W. StrohmAbbas Haider AliRussell Mark Elsner
    • Patrick J. MalloyDana ZnamovaAlain J. CohenAntoine DunnJohn W. StrohmAbbas Haider AliRussell Mark Elsner
    • G06F15/16
    • H04L41/145H04L41/22
    • Data representing application deployment attributes, network topology, and network performance attributes based on a reduced set of element attributes is utilized to simulate application deployment. The data may be received from a user directly, a program that models a network topology or application behavior, and a wizard that implies the data based on an interview process. The simulation may be based on application deployment attributes including application traffic pattern, application message sizes, network topology, and network performance attributes. The element attributes may be determined from a lookup table of element operating characteristics that may contain element maximum and minimum boundary operating values utilized to interpolate other operating conditions. Application response time may be derived using an iterative analysis based on multiple instances of one or more applications wherein a predetermined number of iterations is used or until a substantially steady state of network performance is achieved.
    • 利用表示应用程序部署属性,网络拓扑和基于简化的元素属性集合的网络性能属性的数据来​​模拟应用程序部署。 可以直接从用户接收数据,对网络拓扑或应用行为进行建模的程序,以及基于访问过程暗示数据的向导。 模拟可以基于应用部署属性,包括应用流量模式,应用消息大小,网络拓扑和网络性能属性。 可以从可能包含用于内插其他操作条件的元件最大和最小边界操作值的元件操作特性的查找表来确定元素属性。 可以使用基于一个或多个应用的​​多个实例的迭代分析来导出应用响应时间,其中使用预定数量的迭代,或直到达到基本稳定的网络性能状态。
    • 6. 发明授权
    • Network congestion analysis
    • 网络拥塞分析
    • US07839790B2
    • 2010-11-23
    • US11776736
    • 2007-07-12
    • Steve NiemczykPatrick J. MalloyAlain J. CohenRussell Mark Elsner
    • Steve NiemczykPatrick J. MalloyAlain J. CohenRussell Mark Elsner
    • H04L12/56
    • H04L47/10H04L43/0852H04L47/11H04L47/283
    • Application messages are segregated into message paths, and the delays of the transmitted packets associated with each message path are independently analyzed to distinguish propagation, bandwidth, congestion, and protocol delays. To further distinguish the congestion delays, all of the paths of the application messages are assessed to identify delays induced by the application, including self-congestion delay, corresponding to pre-congestion delays caused by attempting to send data from a source device faster than the bandwidth of the channel allows, and cross-congestion delay, corresponding to post-congestion delays caused by varying delays beyond a bottleneck link in the channel. The remaining congestion delay is identified as network congestion delay, corresponding to delays caused by network devices other than the source device. After identifying each of the components of delay, the effect of each component on the overall delay is determined to identify where improvements can best be made.
    • 应用消息被分离成消息路径,并且独立地分析与每个消息路径相关联的传输分组的延迟,以区分传播,带宽,拥塞和协议延迟。 为了进一步区分拥塞延迟,评估应用消息的所有路径以识别由应用引起的延迟,包括自身拥塞延迟,对应于由源设备尝试从源设备发送数据所导致的预拥塞延迟比 信道的带宽允许和交叉拥塞延迟对应于由频道中的瓶颈链路之外的变化延迟引起的后阻塞延迟。 剩余的拥塞延迟被识别为网络拥塞延迟,对应于由源设备以外的网络设备引起的延迟。 在确定延迟的每个组成部分后,确定每个组件对整体延迟的影响,以确定哪里可以最好地进行改进。