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Marroig, L.; Riverón, C.; Nesmachnow, S.; Mocskos, E.; Navaux P.O.A.; Osthoff C.; Dias P.L.S.; Hernandez C.J.B. "Cloud computing for fluorescence correlation spectroscopy simulations" (2015) 2nd Latin American Conference on High Performance Computing, CARLA 2015. 565:34-49
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Abstract:

Fluorescence microscopy techniques and protein labeling set an inflection point in the way cells are studied. The fluorescence correlation spectroscopy is extremely useful for quantitatively measuring the movement of molecules in living cells. This article presents the design and implementation of a system for fluorescence analysis through stochastic simulations using distributed computing techniques over a cloud infrastructure. A highly scalable architecture, accessible to many users, is proposed for studying complex cellular biological processes. A MapReduce algorithm that allows the parallel execution of multiple simulations is developed over a distributed Hadoop cluster using the Microsoft Azure cloud platform. The experimental analysis shows the correctness of the implementation developed and its utility as a tool for scientific computing in the cloud. © Springer International Publishing Switzerland 2015.

Registro:

Documento: Artículo
Título:Cloud computing for fluorescence correlation spectroscopy simulations
Autor:Marroig, L.; Riverón, C.; Nesmachnow, S.; Mocskos, E.; Navaux P.O.A.; Osthoff C.; Dias P.L.S.; Hernandez C.J.B.
Filiación:Universidad de la República, Montevideo, Uruguay
Departamento de Computación, Universidad de Buenos Aires, Buenos Aires, Argentina
Centro de Simulación Computacional p/Aplic. Tecnológicas/CSC-CONICET, Godoy Cruz 2390, Buenos Aires, C1425FQD, Argentina
Palabras clave:Cloud; Fluorescence analysis; Scientific computing; Clouds; Fluorescence; Fluorescence microscopy; Fluorescence spectroscopy; Natural sciences computing; Spectroscopic analysis; Stochastic models; Stochastic systems; Windows operating system; Cloud infrastructures; Design and implementations; Experimental analysis; Fluorescence analysis; Fluorescence Correlation Spectroscopy; Parallel executions; Scalable architectures; Stochastic simulations; Distributed computer systems
Año:2015
Volumen:565
Página de inicio:34
Página de fin:49
DOI: http://dx.doi.org/10.1007/978-3-319-26928-3_3
Título revista:2nd Latin American Conference on High Performance Computing, CARLA 2015
Título revista abreviado:Commun. Comput. Info. Sci.
ISSN:18650929
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_18650929_v565_n_p34_Marroig

Referencias:

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Citas:

---------- APA ----------
Marroig, L., Riverón, C., Nesmachnow, S., Mocskos, E., Navaux P.O.A., Osthoff C., Dias P.L.S.,..., Hernandez C.J.B. (2015) . Cloud computing for fluorescence correlation spectroscopy simulations. 2nd Latin American Conference on High Performance Computing, CARLA 2015, 565, 34-49.
http://dx.doi.org/10.1007/978-3-319-26928-3_3
---------- CHICAGO ----------
Marroig, L., Riverón, C., Nesmachnow, S., Mocskos, E., Navaux P.O.A., Osthoff C., et al. "Cloud computing for fluorescence correlation spectroscopy simulations" . 2nd Latin American Conference on High Performance Computing, CARLA 2015 565 (2015) : 34-49.
http://dx.doi.org/10.1007/978-3-319-26928-3_3
---------- MLA ----------
Marroig, L., Riverón, C., Nesmachnow, S., Mocskos, E., Navaux P.O.A., Osthoff C., et al. "Cloud computing for fluorescence correlation spectroscopy simulations" . 2nd Latin American Conference on High Performance Computing, CARLA 2015, vol. 565, 2015, pp. 34-49.
http://dx.doi.org/10.1007/978-3-319-26928-3_3
---------- VANCOUVER ----------
Marroig, L., Riverón, C., Nesmachnow, S., Mocskos, E., Navaux P.O.A., Osthoff C., et al. Cloud computing for fluorescence correlation spectroscopy simulations. Commun. Comput. Info. Sci. 2015;565:34-49.
http://dx.doi.org/10.1007/978-3-319-26928-3_3