Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/112947
Título: Reproducibility of execution environments in computational science using Semantics and Clouds
Autores/as: Santana Pérez, Idafen 
Ferreira da Silva, Rafael
Rynge, Mats
Deelman, Ewa
Pérez-Hernández, María S.
Corcho, Oscar
Clasificación UNESCO: 1203 Ciencia de los ordenadores
3304 Tecnología de los ordenadores
Palabras clave: Life sciences
Reproducibility
Scientific workflow
Semantic metadata
Fecha de publicación: 2017
Publicación seriada: Future Generation Computer Systems 
Resumen: In the past decades, one of the most common forms of addressing reproducibility in scientific workflow-based computational science has consisted of 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 based on semantic vocabularies that describes the execution environment of scientific workflows, so as to conserve it. 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 different real workflow applications running in three distinct 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.
URI: http://hdl.handle.net/10553/112947
ISSN: 0167-739X
DOI: 10.1016/j.future.2015.12.017
Fuente: Future Generation Computer Systems [ISSN 0167-739X], n. 67, p. 354-367 (Febrero 2017)
Colección:Artículos
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