## Distributed SimulationSimulation is a multi-disciplinary field, and significant simulation research is dispersed across multiple fields of study. Distributed computer systems, software design methods, and new simulation techniques offer synergistic multipliers when joined together in a distributed simulation. Systems of most interest to the simulation practitioner are often the most difficult to model and implement. Distributed Simulation brings together the many complex technologies for distributed simulation. There is strong emphasis on emerging simulation methodologies, including object-oriented, multilevel, and multi-resolution simulation. Finally, one concise text provides a strong foundation for the development of high fidelity simulations in heterogeneous distributed computing environments! |

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aggregation analysis application approach architecture behavior Booch calculated characteristics clock Coad communication complex components computer networks consider coroutines database decomposition defined definition described determine diagrams discrete distributed computing distributed simulation distributed system dynamic environment error estimate Ethernet event-driven example execution expected expert systems fault fidelity FORTRAN gamma distribution implementation inputs integration interactions interest interfaces layer levels of abstraction matrix mean methodologies methods module moment generating function multilevel simulation multiple network simulation node normal distribution notation object-oriented programming observations operating system OSI model output parallel parameters particular partition performance Pooch probability density function problem domain processors programming language protocols queue random number random variable represent resolution result shown in Figure SimBuilder SIMSCRIPT simulation languages simulation model software engineering standard normal statistic strategy structure synchronization task techniques traffic transition validation variance Yourdon