Bublup, Inc.

Riverbed Technology, Inc.

Opnet Technologies, Inc.

Other

Yevgeny Gurevich

Alain J Cohen

Marc Andrew Cohen

Alberto Morales

John Porter

Mark Johnson

Mitra Yegani

Matthew Barre

Pradeep Singh

Edward A Sykes

Gordon Bolt

Bobby Ninan

Scott Glasser

Carolyne LaSala

Todd Kaloudis

Patrick J Malloy

Jerome Plun

Robert C Mollitor

Vivek Narayanan

Methods of generating websites using any combination of remotely and locally stored content are contemplated. Content is procured by a user on a client computer, and a request to add that content to a source folder is sent to a server. The server adds the content to the source folder, where it is made available for website creation. When a client requests creation of a website using the contents of a source folder, the server then generates that website. In some embodiments, the website can be generated according to a user-selected theme or a default theme.

Methods of website generation

Display screen with a graphical user interface element

Display screen with graphical user interface showing a nanobar element

A user interface of a device for displaying a representation of a network of objects wherein a plurality of selectable objects are rendered, and each of the plurality of selectable objects are rendered having a given positioning relative to each other of the plurality of selectable objects. One or more edges are rendered interconnecting the plurality of selectable objects within a first region of the user interface. A second region is rendered in response to one or more of the selectable objects of the first region being selected. Objects corresponding to the selected objects are depicted in the second region while maintaining the given relative positioning. A number of additional objects may be retrieved from a database that indicates objects that are adjoining the corresponding objects. The adjoining objects are positioned in the second region and are interconnected to the corresponding objects by one or more additional edges.

Visualizing a complex network based on a set of objects of interest

Traffic flow between each pair of nodes in a network may be modeled based on loads measured at each link and based on gravity measures associated with each node. Gravity measures correspond to a relative likelihood of the node being a source or a sink of traffic. Gravity objectives are assigned to nodes to serve as an objective for a node's performance. These gravity objectives may be based on qualitative characteristics associated with each node. Because the assigned gravity objectives may be subjective, the gravity measures are used to generate a quantitative function for determining whether a network can achieve these gravity objectives. In one embodiment, link loads are allocated to traffic flows between nodes and current gravity measures are determined. Changes to link loads and traffic flows may then be modeled to minimize a difference between the assigned gravity measures and the gravity measures.

Traffic flow inference based on link loads and gravity measures

Traffic flow between each pair of nodes in a network are determined based on loads measured at each link and based on gravity measures. The gravity measures correspond to a likelihood of the node being a source or a sink of traffic and may be assigned based on 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. 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.

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.

A simulation system includes a cache structure that stores determined characteristics related to the propagation of an event. If a similar event occurs, and the factors affecting the determination of these characteristics have not changed, the characteristics associated with the new event are retrieved from the cache, rather than being re-determined from the underlying factors. In the example of mobile transceivers, if multiple transceivers share a common set of underlying factors, the determined characteristics of one transceiver can be shared among all of the other transceivers. If the underlying factors are dependent upon geographic area, mobile transceivers that enter a geographic area having associated cached characteristics can use the cached characteristics of other transceivers that are, or had been, in the area. Because the cache process is structured to intercept a call to the routine that determines the characteristics, the modifications to a simulation system to incorporate this caching feature should be minimal.

Wireless link simulation with generic caching

Growing community of inventors

Washington, DC, United States of America

Yevgeny Gurevich