Large-Scale Simulation: Models, Algorithms, and Applications

ISBN-13: 9781138071971 / Miękka / 2017 / 259 str.

Opis

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.

Spis treści

FUNDAMENTALS: Introduction. Background and Fundamentals. MIDDLEWARE AND SOFTWARE ARCHITECTURES: A Decoupled Federate Architecture. Fault-Tolerant HLA-Based Distributed Simulations. Synchronization in Federation Community Networks. EVALUATION OF ALTERNATIVE SCENARIOS: Theory and Issues in Distributed Simulation Cloning. Alternative Solutions for Cloning in HLA-Based Distributed Simulation. Managing Scenarios. Algorithms for Distributed Simulation Cloning. Experiments and Results of Simulation Cloning Algorithms. APPLICATIONS: Hybrid Modeling and Simulation of a Huge Crowd over an HGA. Massively Parallel M&S of a Large Crowd with GPGPU. Index.