Research Article
OSIF: A Framework To Instrument, Validate, and Analyze Simulations
@INPROCEEDINGS{10.4108/ICST.SIMUTOOLS2010.8729, author={Judica\`{\i}l Ribault and Olivier Dalle and Denis Conan and S\^{e}bastien Leriche}, title={OSIF: A Framework To Instrument, Validate, and Analyze Simulations}, proceedings={3rd International ICST Conference on Simulation Tools and Techniques}, publisher={ICST}, proceedings_a={SIMUTOOLS}, year={2010}, month={5}, keywords={nstrumentation Observation Context management Aspect Oriented Programming}, doi={10.4108/ICST.SIMUTOOLS2010.8729} }- Judicaël Ribault
Olivier Dalle
Denis Conan
Sébastien Leriche
Year: 2010
OSIF: A Framework To Instrument, Validate, and Analyze Simulations
SIMUTOOLS
ICST
DOI: 10.4108/ICST.SIMUTOOLS2010.8729
Abstract
In most existing simulators, the outputs of a simulation run consist either in a simulation report generated at the end of the run and summarizing the statistics of interest, or in a (set of) trace file(s) containing raw data samples produced and saved regularly during the run, for later post-processing. In this paper, we address issues related to the management of these data and their on-line processing, such as: (i) the instrumentation code is mixed in the modeling code; (ii) the amount of data to be stored may be enormous, and often, a significant part of these data are useless while their collect may consume a significant amount of the computing resources; and (iii) it is difficult to have confidence in the treatment applied to the data and then make comparisons between studies since each user (model developer) builds its own ad-hoc instrumentation and data processing. In this paper, we propose OSIF, a new component-based instrumentation framework designed to solve the above mentioned issues. OSIF is based on several mature software engineering techniques and frameworks, such as COSMOS, Fractal and its ADL, and AOP.
