A Semantic-Based Approach to Attain Reproducibility of Computational Environments in Scientic Work ows: A Case Study

Santana-Perez, I; Ferreira da Silva, R; Rynge, M; Deelman, E; Pérez-Hernández, M y Corcho, Oscar (2014). A Semantic-Based Approach to Attain Reproducibility of Computational Environments in Scientic Work ows: A Case Study. En: "1st International Workshop on Reproducibility in Parallel Computing in conjunction with Euro-Par 2014 (REPPAR'14)", 25 - 29 Agosto 2014, Porto, Portugal.

Descripción

Título: A Semantic-Based Approach to Attain Reproducibility of Computational Environments in Scientic Work ows: A Case Study
Autor/es:
  • Santana-Perez, I
  • Ferreira da Silva, R
  • Rynge, M
  • Deelman, E
  • Pérez-Hernández, M
  • Corcho, Oscar
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 1st International Workshop on Reproducibility in Parallel Computing in conjunction with Euro-Par 2014 (REPPAR'14)
Fechas del Evento: 25 - 29 Agosto 2014
Lugar del Evento: Porto, Portugal
Título del Libro: REPPAR'14 proceedings
Fecha: 2014
Materias:
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Inteligencia Artificial
Grupo Investigación UPM: oeg
Licencias Creative Commons: Ninguna

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Resumen

Reproducible research in scientic work ows is often addressed by tracking the provenance of the produced results. While this approach allows inspecting intermediate and nal results, improves understanding, and permits replaying a work ow 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 dene a process for documenting the work ow application, management system, and their dependencies based on 4 domain ontologies. We then conduct an experimental evaluation sing a real work ow application on an academic and a public Cloud platform. Results show that our approach can reproduce an equivalent execution environment of a predened virtual machine image on both computing platforms.

Más información

ID de Registro: 30906
Identificador DC: http://oa.upm.es/30906/
Identificador OAI: oai:oa.upm.es:30906
Depositado por: Dr Oscar Corcho
Depositado el: 15 Sep 2014 08:33
Ultima Modificación: 26 Feb 2015 07:29
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