Network Simulation

Introduction.- Network Simulators.- Wire-Line Network Simulation.- Wireless Network Simulation.- Performance, Scalability, and Parallel Model Execution.- The Future.

Richard M. Fujimoto is a Professor and Chair of the Computational Science and Engineering Division in the College of Computing at the Georgia Institute of Technology. He received the Ph.D. and M.S. degrees from the University of California (Berkeley) in 1980 and 1983 (Computer Science and Electrical Engineering) and the B.S. degrees from the University of Illinois (Urbana) in 1977 and 1978 (Computer Science and Computer Engineering). He has been an active researcher in the parallel and distributed simulation community since 1985. Among his current activities he is the technical lead concerning time management issues for the DoD high level architecture (HLA) effort. He served as an area editor for ACM Transactions on Modeling and Computer Simulation and Co-Editor-in-Chief of the journal Simulation: Transactions of the SCS, and has also been chair of the steering committee for the Workshop on Parallel and Distributed Simulation (PADS) since 1990. He also served as a member of the Conference Committee for the Simulation Interoperability Workshop.Kalyan S. Perumalla is a senior researcher in the Computational Sciences and Engineering Division at the Oak Ridge National Laboratory. He also holds an adjunct faculty appointment with the College of Computing, Georgia Tech. Dr. Perumalla has over 10 years of research and development experience in the area of parallel and distributed simulation systems, and has published widely on these topics. He was instrumental in developing widely disseminated tools such as the μ sik scalable simulation engine for simulations using 1000 or more processors, the Telecommunications Description Language (TeD) for automatically simulating networks in parallel, and the Federated Simulations Development Kit (FDK), a high-performance run-time infrastructure. He has also built several additional research prototype systems and tools (e.g., for distributed debugging, network modeling and parallel optimization). He received a Ph.D. in Computer