公开(公告)号：US20080037423A1

公开(公告)日：2008-02-14

申请号：US11835130

申请日：2007-08-07

申请人： Pradeep Singh ,  Kent Hundley ,  David Manowitz ,  David James Boyd ,  Nishant Gupta ,  Vinod Jeyachandran

发明人： Pradeep Singh ,  Kent Hundley ,  David Manowitz ,  David James Boyd ,  Nishant Gupta ,  Vinod Jeyachandran

IPC分类号： G06F11/00

CPC分类号： H04L41/145 ,  H04L45/02 ,  H04L45/122 ,  H04L45/24 ,  H04L45/38

摘要： Traffic flows through an administered network from an off-network source and/or to an off-network destination are simulated and analyzed by selecting an ingress and/or egress node within the administered network, the ingress node capable of collecting traffic from an off-network source, and the egress node capable of routing traffic to an off-network destination. Traffic flow is mapped from the source or ingress node through the administered network to the egress node. The traffic flow may be simulated and analyzed. The ingress and/or egress nodes may be selected in a variety of ways.

摘要翻译： 通过选择管理的网络内的入口和/或出口节点来模拟和分析从网络外的源和/或离网目的地流经管理的网络的流量，所述入口节点能够从离线网络中收集流量， 网络源和能够将流量路由到离网目的地的出口节点。 业务流从源或入节点通过被管理网络映射到出口节点。 可以模拟和分析交通流量。 可以以各种方式来选择入口节点和/或出口节点。

公开(公告)号：US07672238B2

公开(公告)日：2010-03-02

申请号：US11835130

申请日：2007-08-07

申请人： Pradeep Singh ,  Kent Hundley ,  David Manowitz ,  David James Boyd ,  Nishant Gupta ,  Vinod Jeyachandran

发明人： Pradeep Singh ,  Kent Hundley ,  David Manowitz ,  David James Boyd ,  Nishant Gupta ,  Vinod Jeyachandran

IPC分类号： H04L15/00

CPC分类号： H04L41/145 ,  H04L45/02 ,  H04L45/122 ,  H04L45/24 ,  H04L45/38

摘要： Traffic flows through an administered network from an off-network source and/or to an off-network destination are simulated and analyzed by selecting an ingress and/or egress node within the administered network, the ingress node capable of collecting traffic from an off-network source, and the egress node capable of routing traffic to an off-network destination. Traffic flow is mapped from the source or ingress node through the administered network to the egress node. The traffic flow may be simulated and analyzed. The ingress and/or egress nodes may be selected in a variety of ways.

摘要翻译： 通过选择管理的网络内的入口和/或出口节点来模拟和分析从网络外的源和/或离网目的地流经管理的网络的流量，所述入口节点能够从离线网络中收集流量， 网络源和能够将流量路由到离网目的地的出口节点。 业务流从源或入节点通过被管理网络映射到出口节点。 可以模拟和分析交通流量。 可以以各种方式来选择入口节点和/或出口节点。

公开(公告)号：US07844423B2

公开(公告)日：2010-11-30

申请号：US11875900

申请日：2007-10-20

申请人： Karthikeyan Chandrashekar ,  Paul M. Janes ,  Alain J. Cohen ,  Pradeep Singh ,  David James Boyd ,  Ibrahim Utku Moral

发明人： Karthikeyan Chandrashekar ,  Paul M. Janes ,  Alain J. Cohen ,  Pradeep Singh ,  David James Boyd ,  Ibrahim Utku Moral

IPC分类号： G06F17/50 ,  G06F11/30 ,  G06F15/173

CPC分类号： H04L41/145 ,  H04W24/06 ,  H04W74/08

摘要： Channel access delays and reception uncertainty are modeled as protocol-independent generic processes that are optimized for improved simulation performance. The generic process components are designed such that each different protocol can be modeled using an arrangement of these components that is specific to the protocol. In this way, speed and/or accuracy improvements to the generic process components are reflected in each of such protocol models. If an accurate analytic model is not available for the generic process component, a prediction engine, such as a neural network, is preferably used. The prediction engine is trained using the existing detailed models of network devices. Once trained, the prediction engine is used to model the generic process, and the protocol model that includes the generic component is used in lieu of the detailed models, thereby saving substantial processing time.

摘要翻译： 通道访问延迟和接收不确定性被建模为针对改进的仿真性能进行了优化的协议无关的通用进程。 通用过程组件被设计为使得可以使用特定于协议的这些组件的布置来对每个不同的协议进行建模。 以这种方式，通用过程组件的速度和/或精度改进反映在每个这样的协议模型中。 如果准确的分析模型对于通用处理组件不可用，则优选地使用诸如神经网络的预测引擎。 使用现有的网络设备详细模型来训练预测引擎。 一旦被训练，预测引擎用于对通用过程进行建模，并且使用包括通用组件的协议模型来代替详细模型，从而节省大量的处理时间。

公开(公告)号：US20080103738A1

公开(公告)日：2008-05-01

申请号：US11875900

申请日：2007-10-20

申请人： Karthikeyan CHANDRASHEKAR ,  Paul M. Janes ,  Alain J. Cohen ,  Pradeep Singh ,  David James Boyd ,  Ibrahim Utku Moral

发明人： Karthikeyan CHANDRASHEKAR ,  Paul M. Janes ,  Alain J. Cohen ,  Pradeep Singh ,  David James Boyd ,  Ibrahim Utku Moral

IPC分类号： G06G7/48

CPC分类号： H04L41/145 ,  H04W24/06 ,  H04W74/08

摘要： Channel access delays and reception uncertainty are modeled as protocol-independent generic processes that are optimized for improved simulation performance. The generic process components are designed such that each different protocol can be modeled using an arrangement of these components that is specific to the protocol. In this way, speed and/or accuracy improvements to the generic process components are reflected in each of such protocol models. If an accurate analytic model is not available for the generic process component, a prediction engine, such as a neural network, is preferably used. The prediction engine is trained using the existing detailed models of network devices. Once trained, the prediction engine is used to model the generic process, and the protocol model that includes the generic component is used in lieu of the detailed models, thereby saving substantial processing time.

摘要翻译： 通道访问延迟和接收不确定性被建模为针对改进的仿真性能进行了优化的协议无关的通用进程。 通用过程组件被设计为使得可以使用特定于协议的这些组件的布置来对每个不同的协议进行建模。 以这种方式，通用过程组件的速度和/或精度改进反映在每个这样的协议模型中。 如果准确的分析模型对于通用处理组件不可用，则优选地使用诸如神经网络的预测引擎。 使用现有的网络设备详细模型来训练预测引擎。 一旦被训练，预测引擎用于对通用过程进行建模，并且使用包括通用组件的协议模型来代替详细模型，从而节省大量的处理时间。