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Activation and termination detection on distributed systems

descriptionPublicationkeyboard_double_arrow_right Article 01 Apr 2004 Argentina English Publisher:Postgraduate Office, School of Computer Science, Universidad Nacional de La PlataJournal:Journal of Computer Science and Technology (issn: 1666-6046, Copyright policy )
Authors: Baraldi, Waldemar A.; Scarpa, Diego; Ponzoni, Ignacio; Ardenghi, Jorge Raúl;

handle: 11336/102239

Activation and termination detection on distributed systems

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.

Fil: Ardenghi, Jorge Raul. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina

Fil: Ponzoni, Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina

Fil: Baraldi, Waldemar. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina

Fil: Scarpa, Diego O.. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina

Country
Argentina
Related Organizations
Keywords

TK7885-7895, Computer engineering. Computer hardware, Electronic computers. Computer science, Ciencias Informáticas, https://purl.org/becyt/ford/1.2, QA75.5-76.95, https://purl.org/becyt/ford/1, centralized models, distributed models

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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gold