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Colloquium - Liu

Parallel Real-time Immersive network Modeling Environment (PRIME)
Colorado School of Mines

In this talk, I will present an overview of PRIME, an ongoing research project at Colorado School of Mines. The design goal of PRIME is to provide a self-sustained large-scale virtual network environment for researchers to prototype, evaluate, and analyze distributed applications and network services. Built on the previous success of SSFNet, PRIME achieves high-performance real-time network simulation by taking advantage of both parallel simulation and multi-resolution network modeling techniques. I will focus on two problems at hand and present our solutions. One is the integration of an efficient fluid TCP model with the packet-level simulation. Our scheme allows packet flows to interact with fluid flows within each network queue allowing simulation to dynamically change the composition of traffic flows in order for the system to keep up with the wall-clock time and at the same time maintain as much modeling fidelity as possible. The other area is the design of an open and scalable emulation infrastructure that can easily incorporate real-world distributed applications and network services to interact with the simulated network. A prototype of the emulation infrastructure has been implemented based on Virtual Private Network (VPN) customized to function as a gateway to bridge traffic between the physical entities and the virtual network. Our approach has been shown to be both flexible and scalable.

Jason Liu is an assistant professor of Computer Science at the Colorado School of Mines. Prior to that he was a post-doctoral student at the Coordinated Sciences Laboratory, at the University of Illinois, Urbana-Champaign. He received a BA degree in Computer Science from Beijing Polytechnic University in China in 1993, an MS in Computer Science from College of William and Mary in 2000, and a PhD in Computer Science from Dartmouth College in 2003. His research interests include parallel discrete-event simulation, high-performance modeling and simulation of communication networks and computer systems. His current research focuses on applying real-time computation techniques for adaptive network simulation models, designing and building scalable emulation infrastructure for large-scale network simulations, and investigating co-simulation techniques using graphics processors. He is the recipient of an NSF CAREER award in 2006. His past research includes the development of the DaSSF simulator, a high-performance simulator for large and complex models.

Department of Computer Science
University of Colorado Boulder
Boulder, CO 80309-0430 USA
May 5, 2012 (14:13)