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 classification
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.