Modelling distributed computing workloads to support the study of scheduling decisions (2015)
- Authors:
- Autor USP: MELLO, RODRIGO FERNANDES DE - ICMC
- Unidade: ICMC
- DOI: 10.1504/ijcse.2015.071879
- Subjects: PROGRAMAÇÃO CONCORRENTE; SISTEMAS DISTRIBUÍDOS
- Language: Inglês
- Imprenta:
- Source:
- Título: International Journal of Computational Science and Engineering
- ISSN: 1742-7185
- Volume/Número/Paginação/Ano: v. 11, n. 2, p. 155-166, 2015
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
GABRIEL, Paulo Henrique Ribeiro e MELLO, Rodrigo Fernandes de. Modelling distributed computing workloads to support the study of scheduling decisions. International Journal of Computational Science and Engineering, v. 11, n. 2, p. 155-166, 2015Tradução . . Disponível em: https://doi.org/10.1504/ijcse.2015.071879. Acesso em: 10 fev. 2026. -
APA
Gabriel, P. H. R., & Mello, R. F. de. (2015). Modelling distributed computing workloads to support the study of scheduling decisions. International Journal of Computational Science and Engineering, 11( 2), 155-166. doi:10.1504/ijcse.2015.071879 -
NLM
Gabriel PHR, Mello RF de. Modelling distributed computing workloads to support the study of scheduling decisions [Internet]. International Journal of Computational Science and Engineering. 2015 ; 11( 2): 155-166.[citado 2026 fev. 10 ] Available from: https://doi.org/10.1504/ijcse.2015.071879 -
Vancouver
Gabriel PHR, Mello RF de. Modelling distributed computing workloads to support the study of scheduling decisions [Internet]. International Journal of Computational Science and Engineering. 2015 ; 11( 2): 155-166.[citado 2026 fev. 10 ] Available from: https://doi.org/10.1504/ijcse.2015.071879 - A novel approach to quantify novelty levels applied on ubiquitous music distribution
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Informações sobre o DOI: 10.1504/ijcse.2015.071879 (Fonte: oaDOI API)
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