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Large-Scale Simulation - Models, Algorithms, and Applications (Paperback)
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Large-Scale Simulation - Models, Algorithms, and Applications (Paperback)
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Large-Scale Simulation: Models, Algorithms, and Applications gives
you firsthand insight on the latest advances in large-scale
simulation techniques. Most of the research results are drawn from
the authors' papers in top-tier, peer-reviewed, scientific
conference proceedings and journals. The first part of the book
presents the fundamentals of large-scale simulation, including
high-level architecture and runtime infrastructure. The second part
covers middleware and software architecture for large-scale
simulations, such as decoupled federate architecture, fault
tolerant mechanisms, grid-enabled simulation, and federation
communities. In the third part, the authors explore mechanisms-such
as simulation cloning methods and algorithms-that support quick
evaluation of alternative scenarios. The final part describes how
distributed computing technologies and many-core architecture are
used to study social phenomena. Reflecting the latest research in
the field, this book guides you in using and further researching
advanced models and algorithms for large-scale distributed
simulation. These simulation tools will help you gain insight into
large-scale systems across many disciplines.
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