Research Article
An experimental analysis environment for logical process simulation algorithms
@INPROCEEDINGS{10.4108/ICST.SIMUTOOLS2009.5678, author={Bing Wang and Jan Himmelspach and Roland Ewald and Yiping Yao and Adelinde M. Uhrmacher}, title={An experimental analysis environment for logical process simulation algorithms}, proceedings={2nd International ICST Conference on Simulation Tools and Techniques}, publisher={ICST}, proceedings_a={SIMUTOOLS}, year={2010}, month={5}, keywords={Parallel and Distributed Simulation Discrete-Event Simulation Logical Process Performance Analysis}, doi={10.4108/ICST.SIMUTOOLS2009.5678} }- Bing Wang
Jan Himmelspach
Roland Ewald
Yiping Yao
Adelinde M. Uhrmacher
Year: 2010
An experimental analysis environment for logical process simulation algorithms
SIMUTOOLS
ICST
DOI: 10.4108/ICST.SIMUTOOLS2009.5678
Abstract
The notion of logical processes (LPs) is a widely used modeling paradigm in parallel and distributed discrete-event simulation (PDES). Nevertheless the comparison among different simulation algorithms for LP models still remains difficult: there are too many combinations of algorithms to be explored, often simulation systems only provide a small subset of available algorithms, and many m&s frameworks blur the boundary between model logic and simulation algorithm, which hampers extensibility and comparability. We present an environment for the experimental analysis of simulation algorithms for logical processes. It separates between model and simulator, is extensible, and facilitates a fair comparison of algorithms. We illustrate the functioning of the environment by presenting experimental results for well-known simulation algorithms and a benchmark model.