Abstract--This paper addresses statistical issues that arise in stochastic simulations of the steady-state behavior of queuing processes, when being executed in parallel time streams. This is often a desirable choice since otherwise, computer running times for such simulations tend to be large. A proper statistical methodology, which will enable the simulator to achieve the required statistical precision as quickly as possible, has to be used. A random number generator with a large cycle length has to be chosen, since any correlation across the parallel streams can affect the randomness of the results. Another critical issue is that, no procedure in which the run length is fixed, before the simulation begins, can guarantee accurate results....
In simulating applications for execution on specific computing systems, the simulation performance f...
Stochastic performance models provide a formal way of capturing and analysing the complex dynamic be...
Simple heuristic formulas are developed to estimate the simulation run lengths required to achieve d...
For years computer-based stochastic simulation has been a commonly used tool in the performance eval...
This study shows how the performance of a parallel simulation may be affected by the structure of th...
A simple and effective way to exploit parallel processors in discrete event simulations is to run mu...
The credibility of the final results from stochastic simulation has had limited discussion in the si...
. Distributed and parallel simulation has been a popular research topic in recent years. The researc...
TR-COSC 03/96Quantitative stochastic simulation is a useful tool for studying performance of stocha...
International audienceThere is an increasing interest in the distribution of parallel random number ...
Stochastic simulation of reaction kinetics has emerged as animportant computational tool in molecula...
We have previously shown that the mathematical technique of uniformization can serve as the basis of...
The ability to predict the performance of a simulation application before its implementation is an i...
With traditional event list techniques, evaluating a detailed discrete event simulation model can of...
In simulating applications for execution on specific computing systems, the simulation perfor-mance ...
In simulating applications for execution on specific computing systems, the simulation performance f...
Stochastic performance models provide a formal way of capturing and analysing the complex dynamic be...
Simple heuristic formulas are developed to estimate the simulation run lengths required to achieve d...
For years computer-based stochastic simulation has been a commonly used tool in the performance eval...
This study shows how the performance of a parallel simulation may be affected by the structure of th...
A simple and effective way to exploit parallel processors in discrete event simulations is to run mu...
The credibility of the final results from stochastic simulation has had limited discussion in the si...
. Distributed and parallel simulation has been a popular research topic in recent years. The researc...
TR-COSC 03/96Quantitative stochastic simulation is a useful tool for studying performance of stocha...
International audienceThere is an increasing interest in the distribution of parallel random number ...
Stochastic simulation of reaction kinetics has emerged as animportant computational tool in molecula...
We have previously shown that the mathematical technique of uniformization can serve as the basis of...
The ability to predict the performance of a simulation application before its implementation is an i...
With traditional event list techniques, evaluating a detailed discrete event simulation model can of...
In simulating applications for execution on specific computing systems, the simulation perfor-mance ...
In simulating applications for execution on specific computing systems, the simulation performance f...
Stochastic performance models provide a formal way of capturing and analysing the complex dynamic be...
Simple heuristic formulas are developed to estimate the simulation run lengths required to achieve d...