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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