Using AI Planning to Automate the Performance Analysis of Simulators

Roland Ewald

Seventh International Conference on Simulation Tools and Techniques

Research Article

Using AI Planning to Automate the Performance Analysis of Simulators

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@INPROCEEDINGS{10.4108/icst.simutools.2014.254635,
    author={Roland Ewald},
    title={Using AI Planning to Automate the Performance Analysis of Simulators},
    proceedings={Seventh International Conference on Simulation Tools and Techniques},
    publisher={ICST},
    proceedings_a={SIMUTOOLS},
    year={2014},
    month={8},
    keywords={performance analysis experiments planning simulation},
    doi={10.4108/icst.simutools.2014.254635}
}

Roland Ewald
Year: 2014
Using AI Planning to Automate the Performance Analysis of Simulators
SIMUTOOLS
ICST
DOI: 10.4108/icst.simutools.2014.254635

Roland Ewald¹^,*

1: University of Rostock

*Contact email: roland.ewald@uni-rostock.de

Abstract

Analyzing simulation algorithm performance is cumbersome: execute some runs, observe a performance metric, and analyze the results. Often, the results motivate follow-up experiments, which in turn may lead to additional experiments, and so on. This time-consuming and error-prone process can be automated with planning approaches from artificial intelligence, making simulator performance analysis more convenient and rigorous. This paper introduces Alesia, a prototypical system for automatic simulator performance analysis. It is independent of any specific simulation system and realizes a hypothesis-driven approach to evaluate performance.

Keywords: performance analysis experiments planning simulation

Published: 2014-08-18
Publisher: ICST

: http://dx.doi.org/10.4108/icst.simutools.2014.254635