Optimising scientific workflow execution using desktops, clusters and clouds (2017)
- Authors:
- USP affiliated authors: ESTRELLA, JÚLIO CEZAR - ICMC ; DELBEM, ALEXANDRE CLÁUDIO BOTAZZO - ICMC
- Unidade: ICMC
- DOI: 10.1109/CANDAR.2017.100
- Subjects: COMPUTAÇÃO EM NUVEM; ALGORITMOS; APRENDIZADO COMPUTACIONAL; BIOINFORMÁTICA
- Keywords: Cluster; HPC; Galaxy Framework
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Los Alamitos
- Date published: 2017
- Source:
- Título do periódico: Proceedings
- ISSN: 2379-1896
- Conference titles: International Symposium on Computing and Networking - CANDAR
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
OLIVEIRA, Edvard Martins de et al. Optimising scientific workflow execution using desktops, clusters and clouds. 2017, Anais.. Los Alamitos: IEEE, 2017. Disponível em: https://doi.org/10.1109/CANDAR.2017.100. Acesso em: 12 maio 2024. -
APA
Oliveira, E. M. de, Estrella, J. C., Costa, F. G. da, Delbem, A. C. B., & Reiff-Marganiec, S. (2017). Optimising scientific workflow execution using desktops, clusters and clouds. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CANDAR.2017.100 -
NLM
Oliveira EM de, Estrella JC, Costa FG da, Delbem ACB, Reiff-Marganiec S. Optimising scientific workflow execution using desktops, clusters and clouds [Internet]. Proceedings. 2017 ;[citado 2024 maio 12 ] Available from: https://doi.org/10.1109/CANDAR.2017.100 -
Vancouver
Oliveira EM de, Estrella JC, Costa FG da, Delbem ACB, Reiff-Marganiec S. Optimising scientific workflow execution using desktops, clusters and clouds [Internet]. Proceedings. 2017 ;[citado 2024 maio 12 ] Available from: https://doi.org/10.1109/CANDAR.2017.100 - Multi-criteria IoT resource discovery: a comparative analysis
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Informações sobre o DOI: 10.1109/CANDAR.2017.100 (Fonte: oaDOI API)
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