Using Activity Metrics for DEVS Simulation Profiling

Using Activity Metrics for DEVS Simulation Profiling

Activity metrics can be used to profile DEVS models before and during the simulation. It is critical to get good activity metrics of models before and during their simulation. Having a means to compute a-priori activity of components (analytic activity) may be worth when simulating a model (or part...

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Main Authors: Muzy A., Capocchi L., Santucci J.F.
Format: Article
Language:English
Published: EDP Sciences 2014-01-01
Series:ITM Web of Conferences
Online Access:http://dx.doi.org/10.1051/itmconf/20140301001
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spelling doaj-b66c5ae1577a4886a8723bbe0236cd2d2021-02-02T02:59:48ZengEDP SciencesITM Web of Conferences2271-20972014-01-0130100110.1051/itmconf/20140301001itmconf_actims2014_01001Using Activity Metrics for DEVS Simulation ProfilingMuzy A.0Capocchi L.1Santucci J.F.2UMR CNRS 6070 I3S Laboratory, Team Bio-info, Batiment AlgorithmeSPE UMR CNRS 6134 Laboratory, University of CorsicaSPE UMR CNRS 6134 Laboratory, University of Corsica Activity metrics can be used to profile DEVS models before and during the simulation. It is critical to get good activity metrics of models before and during their simulation. Having a means to compute a-priori activity of components (analytic activity) may be worth when simulating a model (or parts of it) for the first time. After, during the simulation, analytic activity can be corrected using dynamic one. In this paper, we introduce McCabe cyclomatic complexity metric (MCA) to compute analytic activity. Both static and simulation activity metrics have been implemented through a plug-in of the DEVSimPy (DEVS Simulator in Python language) environment and applied to DEVS models. http://dx.doi.org/10.1051/itmconf/20140301001
collection DOAJ
language English
format Article
sources DOAJ
author Muzy A.
Capocchi L.
Santucci J.F.
spellingShingle Muzy A.
Capocchi L.
Santucci J.F.
Using Activity Metrics for DEVS Simulation Profiling
ITM Web of Conferences
author_facet Muzy A.
Capocchi L.
Santucci J.F.
author_sort Muzy A.
title Using Activity Metrics for DEVS Simulation Profiling
title_short Using Activity Metrics for DEVS Simulation Profiling
title_full Using Activity Metrics for DEVS Simulation Profiling
title_fullStr Using Activity Metrics for DEVS Simulation Profiling
title_full_unstemmed Using Activity Metrics for DEVS Simulation Profiling
title_sort using activity metrics for devs simulation profiling
publisher EDP Sciences
series ITM Web of Conferences
issn 2271-2097
publishDate 2014-01-01
description Activity metrics can be used to profile DEVS models before and during the simulation. It is critical to get good activity metrics of models before and during their simulation. Having a means to compute a-priori activity of components (analytic activity) may be worth when simulating a model (or parts of it) for the first time. After, during the simulation, analytic activity can be corrected using dynamic one. In this paper, we introduce McCabe cyclomatic complexity metric (MCA) to compute analytic activity. Both static and simulation activity metrics have been implemented through a plug-in of the DEVSimPy (DEVS Simulator in Python language) environment and applied to DEVS models.
url http://dx.doi.org/10.1051/itmconf/20140301001
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AT santuccijf usingactivitymetricsfordevssimulationprofiling
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