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dc.date.accessioned 2008-09-24T20:52:41Z
dc.date.available 2008-09-24T03:00:00Z
dc.date.issued 2008-04
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/9621
dc.description.abstract Augmented marked graphs possess a special structure for modelling common resources as well as some desirable properties pertaining to liveness, boundedness, reversibility and conservativeness. This paper investigates the property-preserving composition of augmented marked graphs for the synthesis of distributed systems. It is proposed that distributed system components are specified as augmented marked graphs. An integrated system is obtained by composing these augmented marked graphs via their common resource places. Based on preservation of properties, liveness, boundedness, reversibility and conservativeness of the system can be readily derived. This contributes to resolve the problem of ensuring design correctness in the composition of distributed system components. en
dc.format.extent 34-40 es
dc.language en es
dc.subject Petri nets es
dc.subject Distributed Systems es
dc.title Compositional synthesis of distributed system components based on augmented marked graphs en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr08-6.pdf es
sedici.identifier.issn 1666-6038 es
sedici.creator.person Cheung, K. S. es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc/3.0/
sedici.description.peerReview peer-review es
sedici2003.identifier ARG-UNLP-ART-0000000733 es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 8, no. 1 es


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Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)