Hybrid cloud and cluster computing paradigms for life science applications

BACKGROUND: Clouds and MapReduce have shown themselves to be a broadly useful approach to scientific computing especially for parallel data intensive applications. However they have limited applicability to some areas such as data mining because MapReduce has poor performance on problems with an ite...

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Detalles Bibliográficos
Autores principales: Qiu, Judy, Ekanayake, Jaliya, Gunarathne, Thilina, Choi, Jong Youl, Bae, Seung-Hee, Li, Hui, Zhang, Bingjing, Wu, Tak-Lon, Ruan, Yang, Ekanayake, Saliya, Hughes, Adam, Fox, Geoffrey
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3040529/
https://www.ncbi.nlm.nih.gov/pubmed/21210982
http://dx.doi.org/10.1186/1471-2105-11-S12-S3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3040529/
https://www.ncbi.nlm.nih.gov/pubmed/21210982
http://dx.doi.org/10.1186/1471-2105-11-S12-S3

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