Large-Scale Simulation: Models, Algorithms, and Applications

Dan Chen, Lizhe Wang, Jingying Chen

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May 29, 2012 by CRC Press
Reference - 259 Pages - 107 B/W Illustrations
ISBN 9781439868867 - CAT# K13152

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Features

  • Summarizes the authors’ vast research on large-scale simulations
  • Presents advanced models, algorithms, and architectures for large-scale distributed simulation
  • Covers important applications of large-scale simulation for studying social phenomena
  • Describes related work, including simulation cloning, fault tolerance, and synchronization in federation communities

Summary

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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