<P><STRONG>Large-Scale Simulation: Models, Algorithms, and Applications</STRONG> gives you firsthand insight on the latest advances in large-scale simulation techniques. Most of the research results are drawn from the authorsβ papers in top-tier, peer-reviewed, scientific conference proceedings and
Large-Scale Simulation: Models, Algorithms, and Applications
β Scribed by Dan Chen, Lizhe Wang, Jingying Chen
- Publisher
- CRC Press
- Year
- 2012
- Tongue
- English
- Leaves
- 256
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
β¦ Table of Contents
I. Fundamentals. 1. Introduction --
2. Background and fundamentals --
II. Middleware and software architectures. 3. A decoupled federate architecture --
4. Fault-tolerant HLA-based distributed simulations --
5. Synchronization in federation community networks --
III. Evaluation of alternative scenarios --
6. Theory and issues in distributed simulation cloning --
7. Alternative solutions for cloning in HLA-based distributed simulation --
8. Managing scenarios --
9. Algorithms for distributed simulation cloning --
10. Experiments and results of simulation cloning algorithms --
IV. Applications. 11. Hybrid modeling and simulation of a huge crowd overan HGA --
12. Massively parallel modeling & simulation of a large crowd with GPGPU.
β¦ Subjects
Computer simulation science COMPUTERS Software Development Engineering General Simulation
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