Simulating Lyme disease using parallel discrete event simulation
WSC '96 Proceedings of the 28th conference on Winter simulation
Breadth-first rollback in spatially explicit simulations
Proceedings of the eleventh workshop on Parallel and distributed simulation
Parallel simulation of the Sharks World problem
WSC' 90 Proceedings of the 22nd conference on Winter simulation
Dynamic component substitution in web-based simulation
Proceedings of the 32nd conference on Winter simulation
Simulating spatially explicit problems on high performance architectures
Journal of Parallel and Distributed Computing - Parallel and Distributed Discrete Event Simulation--An Emerging Technology
Optimizing Costs of Web-based Modeling and Simulation
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Modeling and analysis of global epidemiology of avian influenza
Environmental Modelling & Software
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The factors influencing spread of Lyme disease are often studied using computer-based simulations and spatially explicit models. However, simulating large and complex models is a time consuming task, even when parallel simulation techniques are employed. In an endeavor to accelerate such simulations, an alternative approach involving dynamic (i.e., during simulation) changes to spatial resolution of the model via a novel methodology called Dynamic Component Substitution (DCS) is proposed. Changes to the resolution are performed such that the total number of interactions between the entities in the model is optimized, thereby improving overall performance but introducing minor (