METHODS, SYSTEMS, AND COMPUTER PROGRAM PRODUCTS FOR MODELING AND SIMULATING APPLICATION-LEVEL TRAFFIC CHARACTERISTICS IN A NETWORK BASED ON TRANSPORT AND NETWORK LAYER HEADER INFORMATION

Patent №

US 7,447,209

Granted

2008-11-04

Filed 2005

Owner

UNIVERSITY OF NORTH CAROLINA, THE

Lab

AI components

1

hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11075992

Methods, systems, and computer program products are disclosed for determining application-level traffic characteristics in a network based on transport and network layer header information. Transport and network layer header information is collected from packet traffic in a network. Packets are classified to different connections based on the transport and network layer header information. Each connection is modeled using an abstract syntax for characterizing bidirectional interactions between endpoints of each connection and delays between the interactions. Application-level characteristics of the packet traffic are determined based on the modeled connections. Simulated traffic that models application-level traffic behavior in a real network may also be generated by simulating traffic connections based on the modeled connections.

AI hardwareH04L 43/026Y02D 30/50

AI classification

AI hardware0.68
Knowledge representation0.14
Vision0.07
Natural language0.00
Machine learning0.00
Speech0.00
Evolutionary computation0.00
Planning0.00

Ownership

UNIVERSITY OF NORTH CAROLINA, THE

assignment · 161830770

Assignors

JEFFAY, KEVIN, HERNANDEZ-CAMPOS, FELIX, SMITH, FRANK DONELSON, NOBEL, ANDREW B.

On an employer assignment, the assignors are typically the inventors.

From the same owner

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