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.
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