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

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

Description

Title: A Semantic-Based Approach to Attain Reproducibility of Computational Environments in Scientic Work ows: A Case Study
Author/s:
  • Santana-Perez, I
  • Ferreira da Silva, R
  • Rynge, M
  • Deelman, E
  • Pérez-Hernández, M
  • Corcho, Oscar
Item Type: Presentation at Congress or Conference (Article)
Event Title: 1st International Workshop on Reproducibility in Parallel Computing in conjunction with Euro-Par 2014 (REPPAR'14)
Event Dates: 25 - 29 Agosto 2014
Event Location: Porto, Portugal
Title of Book: REPPAR'14 proceedings
Date: 2014
Subjects:
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
UPM's Research Group: oeg
Creative Commons Licenses: None

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Abstract

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.

More information

Item ID: 30906
DC Identifier: http://oa.upm.es/30906/
OAI Identifier: oai:oa.upm.es:30906
Deposited by: Dr Oscar Corcho
Deposited on: 15 Sep 2014 08:33
Last Modified: 26 Feb 2015 07:29
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