Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
Reproducibility of execution environments in computational science using Semantics and Clouds
Año:2016
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
One of the most common forms of addressing reproducibility in scientific workflow-based computational science in the past decades has consisted in tracking the provenance of the produced and published results. Such provenance allows inspecting intermediate and final results, improves understanding, and permits replaying a workflow execution. Nevertheless, this approach does not provide any means for capturing and sharing the very valuable knowledge about the experimental equipment of a computational experiment, i.e., the execution environment in which the experiments are conducted. In this work, we propose a novel approach for describing the execution environment of scientific workflows, so as to conserve them, using semantic vocabularies. We define a process for documenting the workflow application and its related management system, as well as their dependencies. Then we apply this approach over three di erent real workflow applications on three distinguished scenarios, using public, private, and local Cloud platforms. In particular, we study one astronomy workflow and two life science workflows for genomic information analysis. Experimental results show that our approach can reproduce an equivalent execution environment of a predefined virtual machine image on all evaluated computing platforms.
Internacional
Si
JCR del ISI
Si
Título de la revista
Future Generation Computer Systems-the International Journal of Escience
ISSN
0167-739X
Factor de impacto JCR
2,43
Información de impacto
Volumen
DOI
10.1016/j.future.2015.12.017
Número de revista
Desde la página
1
Hasta la página
13
Mes
SIN MES
Ranking
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Participantes
  • Autor: Idafen Santana Perez (UPM)
  • Autor: Maria de los Santos Perez Hernandez (UPM)
  • Autor: Oscar Corcho Garcia (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial
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