Process simulation is a powerful analysis tool used in many industries. It allows companies to be proactive in determining what strategies will be successful. For this reason, man...
GPSS/H is a well-known, traditional simulation tool whose user base continues to grow despite the presence of many "new" trends in simulation technology. In GPSS/H, the ...
We consider how to efficiently allocate computing resources in order to infer the best of a finite set of simulated systems, where best means that the system has the maximal expec...
An attractive feature of many simulation packages is their availability on desktop computers and their potential for allowing the user to run a simulation model under different co...
This paper reports simulation methods and results for analyzing a self-adjusting Quality of Service (QoS) control scheme for multimedia/telecommunication systems based on resource...
In simulation modeling and analysis, there are two situations where there is uncertainty about the number of parameters needed to specify a model. The first is in input modeling w...
Simulation models are built with the intent of studying the behavior of the real system represented by the model. However, a simulation model generates random outputs; thus, the d...
The regenerative method of simulation output analysis exploits the regenerative structure of a stochastic process to break up a path into independent and identically distributed c...
The execution of distributed simulations has become increasingly important to the Department of Defense (DOD). This paper compares three architectures for supporting distributed c...
Causality constraints of random discrete simulation make parallel and distributed processing difficult. Methods of applying reconfigurable logic to implement and accelerate simula...