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 authorsâ 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 mechanismsâsuch as simulation cloning methods and algorithmsâthat 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. . Language: English