Simulation can be an effective way to evaluate alternative decisions in Sense-and-Respond systems prior to taking actions to resolve existing or anticipated business situations. I...
Paul Huang, Young M. Lee, Lianjun An, Markus Ettl,...
In this paper, we consider the fast simulation of traffic groomed optical networks, in which multiple sub-rate traffic streams may be carried on the same wavelength. For real-size...
In this paper we present an architecture for internet-mediated simulation games. The challenge was to use today's state of the art technologies to provide a simulated environ...
Data Farming is a methodology and capability that makes use of high performance computing to run models many times. This capability gives modelers and their clients the enhanced a...
Farm is a distributed simulation environment for modeling the performance of large-scale multi-agent systems. It uses a component-based architecture to distribute the computationa...
Traffic Flow Management (TFM) actions are commonly used to mitigate capacity/demand imbalances within the National Airspace System (NAS). Modeling TFM events has proven challengin...
Using simulated data to develop and study diagnostic tools for data analysis is very beneficial. The user can gain insight about what happens when assumptions are violated since t...
The IAGO Project explores the question of whether a software model, in the form of a computational model of cognitive behavior, can contribute to better anticipation of asymmetric...
Traffic congestion is one of the worst problems in many countries. Traffic congestion wastes a huge portion of the national income for fuel and traffic-related environmental and s...
Creating a simulation of a large enterprise system by manually coding all the details into a simulator tool is not just time consuming, but yields a system that is difficult to ma...
Gregory A. Harrison, David S. Maynard, Eytan Polla...