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dc.date.accessioned 2004-08-23T13:40:16Z
dc.date.available 2004-08-23T03:00:00Z
dc.date.issued 2004-04
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/9477
dc.description.abstract Facing the different approaches to process activation and global termination detection on distributed systems, this paper performs a practical comparison between the mainly opposed centralized and distributed models. Firstly, they were implemented to solve both the activation and termination detection problems. Based on processing performance and communication overhead metrics, both systems were evaluated running on various parametrized environments. As a result, we present the values obtained and the final conclusions. The overall design was made following an object oriented methodology, which was coded using C++. The inter-process communication was carried out using the PVM libraries. en
dc.format.extent 32-37 es
dc.language en es
dc.subject centralized models en
dc.subject distributed models en
dc.title Activation and termination detection on distributed systems en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr04-5.pdf es
sedici.identifier.issn 1666-6038 es
sedici.creator.person Baraldi, Waldemar A. es
sedici.creator.person Scarpa, Diego es
sedici.creator.person Ponzoni, Ignacio es
sedici.creator.person Ardenghi, Jorge Raúl 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-0000000391 es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 4, no. 1 es


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Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)