Large-Scale Simulation: Models, Algorithms, and Applications

Organized to facilitate intuitive learning, this step-by-step manual includes basic and advanced models and algorithms, and software architecture for the implementation of large-scale distributed simulation. An indispensible reference, it offers background information on performance evaluation, and it introduces new computing infrastructures such as Grids, SOA, and Clouds, with coverage of parallel and distributed computing technologies. The book also addresses middleware and software architecture, such as Decoupled Federate Architecture, and fault-tolerant mechanisms, grid-enabled simulation, and federation community. The book tackles simulation cloning methods and mechanisms that support quick evaluation of alternative scenarios, as well as important applications used in business processes, social phenomenology, and neuroscience research.