Experiences using the UML profile for MARTE to stochastically model postproduction interactive applications
Middleton, Stuart, Servin, Arturo, Zlatev, Zlatko, Nasser, Bassem, Papay, Juri and Boniface, Mike (2010) Experiences using the UML profile for MARTE to stochastically model postproduction interactive applications. In, eChallenges 2010 Conference Proceedings, Warsaw, Poland, (Submitted).
- Published Version
Abstract: We describe a practical approach applying the UML 2.0 standard MARTE profile to model stochastic interactive application workflows, using the PapyrusUML editor. We use the PaStep, PaCommStep, PaLogicalResource and GaCommHost MARTE stereotypes and find them sufficient for stochastic modelling with the exception of being unable to define non-standard probability distributions. We have investigated both Markovian stochastic models and discrete event simulation models, serializing UML deployment and state machine diagrams to automate model creation. The choice between using a stochastic model (e.g. PRISM Markov models) or discrete event simulation model (e.g. Monte Carlo simulations) depends on the complexity of the model, accuracy required and compute time needed. We find that PRISM models are fast to execute if the complexity is small and produce numerically accurate results. Discrete event simulation models are slower to execute but scale much better and are probably the default solution to a model of unknown complexity.
|Item Type:||Conference or Workshop Item (Paper)|
|Additional Information:||Event Dates: October 2010|
|Divisions:||Faculty of Physical Sciences and Engineering > Electronics and Computer Science
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > IT Innovation Centre
|Date Deposited:||13 May 2010 14:58|
|Last Modified:||27 Mar 2014 20:16|
|Further Information:||Google Scholar|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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