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A Generic Framework for Parallelization of Network Simulations
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Using the OMNeT++ discrete event simulation system in education
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A federated approach to distributed network simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Performance of a mixed shared/distributed memory parallel network simulator
Proceedings of the eighteenth workshop on Parallel and distributed simulation
Conservative synchronization of large-scale network simulations
Proceedings of the eighteenth workshop on Parallel and distributed simulation
Space-parallel network simulations using ghosts
Proceedings of the eighteenth workshop on Parallel and distributed simulation
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Proceedings of the 35th conference on Winter simulation: driving innovation
Mobility Modeling of Outdoor Scenarios for MANETs
ANSS '05 Proceedings of the 38th annual Symposium on Simulation
JiST: an efficient approach to simulation using virtual machines: Research Articles
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WNS2 '06 Proceeding from the 2006 workshop on ns-2: the IP network simulator
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Computer Communications
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ACM Transactions on Computer Systems (TOCS)
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ACM Transactions on Modeling and Computer Simulation (TOMACS)
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We introduce a new network simulation environment, developed by our research group, called the Georgia Tech Network Simulator (GTNetS). Our simulator is designed specifically to allow much larger-scale simulations than can easily be created by existing network simulation tools. The design of the simulator very closely matches the design of real network protocol stacks and hardware. Thus, anyone with a good understanding of networking in general can easily understand how the simulations are constructed. Further, our simulator is implemented completely in object-oriented C++, which leads to easy extension by users to experiment with new or modified behavior of existing simulation models. Our tool is designed from the beginning with scalability in mind, including the support for distributed simulations on a network of workstations as part of the basic design.We give an overview of the features of GTNetS, and present some preliminary scalability results we have obtained by running GTNetS on a computing cluster at the Pittsburgh Supercomputer Center.