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Parallel Execution - How to Improve Performance in Network Simulation

PublisherScalable Network Technologies
Format PDF, requires Acrobat Rdr 5Date added14 Aug 2003
Topics Diagnostics and Analysis, Quality of Service
Downloads18

A historically frustrating tradeoff in discrete event simulation is that modelers must choose fast simulation or accurate results, not both. We discuss commonly used methods of improving performance to avoid this tradeoff, including what the prerequisites are and how optimization is achieved. Parallel execution is arguably the best solution, and this paper discusses how a sequential model is "parallelized" to be executed in parallel. Finally, we present quantitative results from the successful parallellization of models in QualNet, a discrete event simulation software product for modeling networks. After reading this paper, modelers should be equipped to assess their model’s potential for performance gains through parallelization, as well as alternatives for better performance outside of parallel execution.

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