Rflow: Uma Abordagem de Reutilização de Workflows Estatísticos Legados
Resumo
Este trabalho apresenta a abordagem RFlow que facilita o gerenciamento dos workflows estatísticos e mitiga limitações dos sistemas estatísticos no que diz respeito ao gerenciamento da proveniência. RFlow é uma solução que permite que os cientistas (re)utilizem scripts R legados sob a forma de meta-workflows facilitando o reuso, compartilhamento, controle de execução com apoio da coleta de proveniência sobre as execuções individualizadas de cada workflow.Referências
Altintas, I. et al (2006), “Provenance Collection Support in the Kepler Scientific Workflow System”, Proc. of IPAW2006, 118-132.
Chambers, J. R (2008) Software Data Analysis Programming with R Software. Springer. 1st edition.
Crawley, M.J. (2002) Statistical Computing to Data Analysis using S-plus. Wiley. 1st edition.
Cruz, S. M. S. , Campos, M L M., Mattoso (2009) “Towards a Taxonomy of Provenance in Scientific Workflow Management Systems”,In: Services, .2009. pp. 259 – 266.
Higgins, D. (2007) ,“Using R in Kepler”, [link].
Kirchkamp, O. (2011) “Workflow of statistical data analysis”. http://www.kirchkamp.de/oekonometrie/pdf/wf-screen2.pdf.
Kumar, A., Wainer, J. (2005) “Meta-workflows as a control and coordination mechanism for exception handling in workflow systems”. Decision Support Systems. v. 40 pp. 89-105.
Ludäscher, B. et al. (2006) "Scientific workflow management and the Kepler system: Research Articles". Concurrency and Computation: Practice & Experience, v. 18, n. 10, pp. 1039-1065.
Mair, P., de Leeuw, J. (2010). “A general framework for multivariate analysis with optimal scaling: The R package aspect”. Journal of Statistical Software, 32(9), pp. 1-12.
Marinho et al (2012) “ProvManager: a provenance management system for scientific workflows” Conc. and Comp.: Practice & Experience. v. 24, n. 13, pp. 1513-1530.
Mattoso, M. et al., (2009), "Desafios no apoio à composição de experimentos científicos em larga escala". In: Seminário Integrado de Software e Hardware (XXXVI SEMISH), pp. 307-321.
Runnalls, A. (2013) “CXXR: an extensible R interpreter “In: Wiley Interdisciplinary Reviews: Computational Statistics. DOI: 10.1002/wics.1251.
Qin, Z., Xing, J., Zheng, X., (2008), Software architecture. Springer. 1st edition. Ranabahu, A., Anderson, P. Sheth, A. P. (2011) “The Cloud Agnostic e-Science Analysis Platform”. IEEE Internet Computing v. 15.pp. 85-89.
Silles, C. A., Runnalls, A. (2010) “Provenance-Awareness in R”. LNCS 6378. Springer, pp. 64-72.
Chambers, J. R (2008) Software Data Analysis Programming with R Software. Springer. 1st edition.
Crawley, M.J. (2002) Statistical Computing to Data Analysis using S-plus. Wiley. 1st edition.
Cruz, S. M. S. , Campos, M L M., Mattoso (2009) “Towards a Taxonomy of Provenance in Scientific Workflow Management Systems”,In: Services, .2009. pp. 259 – 266.
Higgins, D. (2007) ,“Using R in Kepler”, [link].
Kirchkamp, O. (2011) “Workflow of statistical data analysis”. http://www.kirchkamp.de/oekonometrie/pdf/wf-screen2.pdf.
Kumar, A., Wainer, J. (2005) “Meta-workflows as a control and coordination mechanism for exception handling in workflow systems”. Decision Support Systems. v. 40 pp. 89-105.
Ludäscher, B. et al. (2006) "Scientific workflow management and the Kepler system: Research Articles". Concurrency and Computation: Practice & Experience, v. 18, n. 10, pp. 1039-1065.
Mair, P., de Leeuw, J. (2010). “A general framework for multivariate analysis with optimal scaling: The R package aspect”. Journal of Statistical Software, 32(9), pp. 1-12.
Marinho et al (2012) “ProvManager: a provenance management system for scientific workflows” Conc. and Comp.: Practice & Experience. v. 24, n. 13, pp. 1513-1530.
Mattoso, M. et al., (2009), "Desafios no apoio à composição de experimentos científicos em larga escala". In: Seminário Integrado de Software e Hardware (XXXVI SEMISH), pp. 307-321.
Runnalls, A. (2013) “CXXR: an extensible R interpreter “In: Wiley Interdisciplinary Reviews: Computational Statistics. DOI: 10.1002/wics.1251.
Qin, Z., Xing, J., Zheng, X., (2008), Software architecture. Springer. 1st edition. Ranabahu, A., Anderson, P. Sheth, A. P. (2011) “The Cloud Agnostic e-Science Analysis Platform”. IEEE Internet Computing v. 15.pp. 85-89.
Silles, C. A., Runnalls, A. (2010) “Provenance-Awareness in R”. LNCS 6378. Springer, pp. 64-72.
Publicado
23/07/2013
Como Citar
NASCIMENTO, José Antônio Pires do; CRUZ, Sérgio Manuel Serra da.
Rflow: Uma Abordagem de Reutilização de Workflows Estatísticos Legados. In: BRAZILIAN E-SCIENCE WORKSHOP (BRESCI), 7. , 2013, Maceió.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2013
.
p. 1815-1822.
ISSN 2763-8774.
