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LargeScale Simulation: Models, Algorithms, and Applications gives you firsthand insight on the latest advances in largescale simulation techniques. Most of the research results are drawn from the authors papers in toptier, peerreviewed, scientific conference proceedings and journals.The first part of the book presents the fundamentals of largescale simulation, including highlevel architecture and runtime infrastructure. The second part covers middleware and software architecture for largescale simulations, such as decoupled federate architecture, fault tolerant mechanisms, gridenabled simulation, and federation communities. In the third part, the authors explore mechanismssuch as simulation cloning methods and algorithmsthat support quick evaluation of alternative scenarios. The final part describes how distributed computing technologies and manycore 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 largescale distributed simulation. These simulation tools will help you gain insight into largescale systems across many disciplines.
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