Adaptive technique for automatic communication access pattern discovery applied to data prefetching in distributed applications using neural networks and stochastic models (2006)
- Authors:
- Autor USP: MELLO, RODRIGO FERNANDES DE - ICMC
- Unidade: ICMC
- Subjects: SISTEMAS DISTRIBUÍDOS; PROGRAMAÇÃO CONCORRENTE
- Language: Inglês
- Imprenta:
- Source:
- Título: Lecture Notes in Computer Science
- Volume/Número/Paginação/Ano: v. 4330, p. 292-303, 2006
- Conference titles: International Symposium Parallel and Distributed Processing and Applications
-
ABNT
DODONOV, Evgueni e MELLO, Rodrigo Fernandes de e YANG, Laurence Tianruo. Adaptive technique for automatic communication access pattern discovery applied to data prefetching in distributed applications using neural networks and stochastic models. Lecture Notes in Computer Science. Berlim: Springer. Disponível em: http://www.springerlink.com/content/c850460wh50x036g/fulltext.pdf. Acesso em: 12 fev. 2026. , 2006 -
APA
Dodonov, E., Mello, R. F. de, & Yang, L. T. (2006). Adaptive technique for automatic communication access pattern discovery applied to data prefetching in distributed applications using neural networks and stochastic models. Lecture Notes in Computer Science. Berlim: Springer. Recuperado de http://www.springerlink.com/content/c850460wh50x036g/fulltext.pdf -
NLM
Dodonov E, Mello RF de, Yang LT. Adaptive technique for automatic communication access pattern discovery applied to data prefetching in distributed applications using neural networks and stochastic models [Internet]. Lecture Notes in Computer Science. 2006 ; 4330 292-303.[citado 2026 fev. 12 ] Available from: http://www.springerlink.com/content/c850460wh50x036g/fulltext.pdf -
Vancouver
Dodonov E, Mello RF de, Yang LT. Adaptive technique for automatic communication access pattern discovery applied to data prefetching in distributed applications using neural networks and stochastic models [Internet]. Lecture Notes in Computer Science. 2006 ; 4330 292-303.[citado 2026 fev. 12 ] Available from: http://www.springerlink.com/content/c850460wh50x036g/fulltext.pdf - A novel approach to quantify novelty levels applied on ubiquitous music distribution
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