ACM Transactions on Programming Languages and Systems (TOPLAS)
Parallel discrete event simulation
Communications of the ACM - Special issue on simulation
The Stanford GraphBase: a platform for combinatorial computing
The Stanford GraphBase: a platform for combinatorial computing
GTW: a time warp system for shared memory multiprocessors
WSC '94 Proceedings of the 26th conference on Winter simulation
The Department of Defense High Level Architecture
Proceedings of the 29th conference on Winter simulation
TED—a language for modeling telecommunication networks
ACM SIGMETRICS Performance Evaluation Review - Special issue on the telecommunications description language
GloMoSim: a library for parallel simulation of large-scale wireless networks
PADS '98 Proceedings of the twelfth workshop on Parallel and distributed simulation
Parallel and Distribution Simulation Systems
Parallel and Distribution Simulation Systems
A Generic Framework for Parallelization of Network Simulations
MASCOTS '99 Proceedings of the 7th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
SIMULATION OF PACKET COMMUNICATION ARCHITECTURE COMPUTER SYSTEMS
SIMULATION OF PACKET COMMUNICATION ARCHITECTURE COMPUTER SYSTEMS
Experiences parallelizing a commercial network simulator
Proceedings of the 33nd conference on Winter simulation
HLA-based Adaptive Distributed Simulation of Wireless Mobile Systems
Proceedings of the seventeenth workshop on Parallel and distributed simulation
MSWiM '04 Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
A model for estimating the performance of synchronous parallel network simulation
International Journal of Modelling and Simulation
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Parallel discrete event simulation (PDES) techniques have not yet made a substantial impact on the network simulation community because of the need to recast the simulation models using a new set of tools. To address this problem, we present a case study in transparently parallelizing a widely used network simulator, called ns. The use of this parallel ns does not require the modeler to learn any new tools or complex PDES techniques. The paper describes our approach and design choices to build the parallel ns and presents preliminary performance results, which are very encouraging.