A semantic-based approach to attain reproducibility of computational environments in scientific workflows: a case study

Santana-Perez, Idafen and Ferreira da Silva, Rafael and Rynge, Mats and Deelman, Ewa and Pérez Hernández, María de los Santos and Corcho, Oscar (2014). A semantic-based approach to attain reproducibility of computational environments in scientific workflows: a case study. In: "Euro-Par 2014 International Workshops", 25-26 Aug 2014, Oporto, Portugal. ISBN 978-3-319-14324-8. pp. 452-463.

Description

Title: A semantic-based approach to attain reproducibility of computational environments in scientific workflows: a case study
Author/s:
  • Santana-Perez, Idafen
  • Ferreira da Silva, Rafael
  • Rynge, Mats
  • Deelman, Ewa
  • Pérez Hernández, María de los Santos
  • Corcho, Oscar
Item Type: Presentation at Congress or Conference (Other)
Event Title: Euro-Par 2014 International Workshops
Event Dates: 25-26 Aug 2014
Event Location: Oporto, Portugal
Title of Book: Euro-Par 2014: Parallel Processing Workshops
Date: 2014
ISBN: 978-3-319-14324-8
Volume: 1
Subjects:
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Reproducible research in scientific workflows is often addressed by tracking the provenance of the produced results. While this approach allows inspecting intermediate and final results, improves understanding, and permits replaying a workflow execution, it does not ensure that the computational environment is available for subsequent executions to reproduce the experiment. In this work, we propose describing the resources involved in the execution of an experiment using a set of semantic vocabularies, so as to conserve the computational environment. We define a process for documenting the workflow application, management system, and their dependencies based on 4 domain ontologies. We then conduct an experimental evaluation using a real workflow application on an academic and a public Cloud platform. Results show that our approach can reproduce an equivalent execution environment of a predefined virtual machine image on both computing platforms.

More information

Item ID: 36785
DC Identifier: http://oa.upm.es/36785/
OAI Identifier: oai:oa.upm.es:36785
Official URL: http://link.springer.com/chapter/10.1007/978-3-319-14325-5_39
Deposited by: Memoria Investigacion
Deposited on: 11 Sep 2015 12:34
Last Modified: 11 Sep 2015 12:34
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