Friday, July 26
3:15-5:15 PM

Traffic Modeling and Control for High Speed Communication Networks

The traffic carried by developing packet-based, high-speed communication networks is statistical and diverse in its nature. Network designers must maintain adequate quality of service to the individual users while efficiently utilizing network resources. Traditional mathematical techniques for modeling traffic and resource allocation methods are proving to be inadequate in effectiveness and/or complexity, so much current research is focusing on emerging techniques. The minisymposium includes talks on self-similar traffic models, performance prediction, feedback rate control design, and fuzzy logic control.

Organizer: David W. Petr
University of Kansas

Models of Fractal Traffic
Arnie Neidhardt, Bellcore
Real-Time Detection of Quality of Service Violations in High-Speed Networks
Victor Frost; and Hongbo Zhu, University of Kansas
Design of a Closed Loop Feedback Control for ABR Service
Aleksandar Kolarov; and G. Ramamurthy, NEC USA Inc.
Self-Tuning Fuzzy Control for Available Bit Rate (ABR) Traffic
David W. Petr, Organizer; and Qingyang Hu, University of Kansas

Registration | Hotel Information | Transportation | Speaker Index | Program Overview

MMD, 5/20/96