Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Reproducibility of execution environments in computational science using Semantics and Clouds
Year:2016
Research Areas
  • Information technology and adata processing
Information
Abstract
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.
International
Si
JCR
Si
Title
Future Generation Computer Systems-the International Journal of Escience
ISBN
0167-739X
Impact factor JCR
2,43
Impact info
Volume
10.1016/j.future.2015.12.017
Journal number
From page
1
To page
13
Month
SIN MES
Ranking
Participants
  • Autor: Idafen Santana Perez (UPM)
  • Autor: Maria de los Santos Perez Hernandez (UPM)
  • Autor: Oscar Corcho Garcia (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial
S2i 2019 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)