Large-Scale Simulation Models, Algorithms, and Applications [Hardcover]

Large-Scale Simulation: Models, Algorithms, and Applicationsgives 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 mechanismssuch as simulation cloning methods and algorithmsthat 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.

FUNDAMENTALS
Introduction
Background
Organization of the Book

Background and Fundamentals
High Level Architecture and Runtime Infrastructure
Cloning and Replication
Simulation Cloning
Summary of Cloning and Replication Techniques
Fault Tolerance
Time Management Mechanisms for Federation Community

MIDDLEWARE AND SOFTWARE ARCHITECTURES
A Decoupled Federate Architecture
Problem Statement
Virtual Federate and Physical Federate
Inside the Decoupled Architecture
Federate Cloning Procelƒ-