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Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.06161.8
URN: urn:nbn:de:0030-drops-7071
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2006/707/
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Hillston, Jane
Population models from PEPA descriptions
Abstract
Stochastic process algebras such as PEPA have enjoyed considerable success as CTMC-based system description languages for performance evaluation of computer and communication systems. However they have not been able to escape the problem of state space explosion, and this problem is exacerbated when other domains such as systems biology are considered. Therefore we have been investigating alternative semantics for PEPA models which give rise to a population view of the system, in terms of a set of nonlinear ordinary differential equations. This extended abstract gives an overview of this mapping.
BibTeX - Entry
@InProceedings{hillston:DagSemProc.06161.8,
author = {Hillston, Jane},
title = {{Population models from PEPA descriptions}},
booktitle = {Simulation and Verification of Dynamic Systems},
pages = {1--6},
series = {Dagstuhl Seminar Proceedings (DagSemProc)},
ISSN = {1862-4405},
year = {2006},
volume = {6161},
editor = {David M. Nicol and Corrado Priami and Hanne Riis Nielson and Adelinde M. Uhrmacher},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2006/707},
URN = {urn:nbn:de:0030-drops-7071},
doi = {10.4230/DagSemProc.06161.8},
annote = {Keywords: Stochastic Process Algebra, Fluid Approximation, Discrete vs Continuous models}
}
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Keywords: |
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Stochastic Process Algebra, Fluid Approximation, Discrete vs Continuous models |
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Collection: |
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06161 - Simulation and Verification of Dynamic Systems |
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Issue Date: |
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2006 |
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Date of publication: |
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07.09.2006 |
