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On Distributed Collaboration for Biomedical Analyses

Boujdad, Fatima-Zahra; Gaignard, Alban; Südholt, Mario; Garzón-Alfonso, Wilmer; Benavides Navarro, Luis Daniel; Redon, Richard (IEEE XploreLarnaca, Cyprus, 2019)

Cooperation of research groups is nowadays common for the development and execution of biomedical analyses. Multiple partners contribute data in this context, data that is often centralized for processing at some cluster-based ...
On Distributed Collaboration for Biomedical Analyses

Boujdad, Fatima-Zahra; Gaignard, Alban; Südholt, Mario; Garzón-Alfonso, Wilmer; Benavides Navarro, Luis Daniel; Redon, Richard (IEEE XploreLárnaca, Chipre., 2019)

Cooperation of research groups is nowadays common for the development and execution of biomedical analyses. Multiple partners contribute data in this context, data that is often centralized for processing at some cluster-based ...
Propuesta de evaluación de herramientas de monitoreo para plataformas tipo nube

Rodríguez Chona, Andrés Ricardo; Patiño Arias, Andrés Mauricio; Santiago Cely, Claudia Patricia (Escuela Colombiana de IngenieríaColombia, 2016)

A lo largo de este articulo se presenta una metodología para la evaluación de herramientas de monitoreo para la nube que se basa en una matriz de evaluación. Dicha matriz de evaluación se compone de dos dimensiones: la ...

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On Distributed Collaboration for Biomedical Analyses
...
Boujdad, Fatima-Zahra | 2019

Cooperation of research groups is nowadays common for the development and execution of biomedical analyses. Multiple partners contribute data in this context, data that is often centralized for processing at some cluster-based or supercomputer-based infrastructure. In contrast, real distributed collaboration that involves processing of data from several partners at different sites is rare. However, such distributed analyses are often very interesting, in particular, for scalability, security and privacy reasons. In this article, we motivate the need for real distributed biomedical analyses in the context of several ongoing projects, including the ICAN project that involves 34 French hospitals and affiliated research groups. We present a set of distributed architectures for such analyses that we have derived from discussions with different medical research groups and a study of related work. These architectures allow for scalability, security/privacy and reproducibility issues to be taken into account. Finally, we illustrate that these architectures can serve as the basis of a development method for biomedical distributed analyses.

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On Distributed Collaboration for Biomedical Analyses
...
Boujdad, Fatima-Zahra | 2019

Cooperation of research groups is nowadays common for the development and execution of biomedical analyses. Multiple partners contribute data in this context, data that is often centralized for processing at some cluster-based or supercomputer-based infrastructure. In contrast, real distributed collaboration that involves processing of data from several partners at different sites is rare. However, such distributed analyses are often very interesting, in particular, for scalability, security and privacy reasons. In this article, we motivate the need for real distributed biomedical analyses in the context of several ongoing projects, including the ICAN project that involves 34 French hospitals and affiliated research groups. We present a set of distributed architectures for such analyses that we have derived from discussions with different medical research groups and a study of related work. These architectures allow for scalability, security/privacy and reproducibility issues to be taken into account. Finally, we illustrate that these architectures can serve as the basis of a development method for biomedical distributed analyses.

LEER
Propuesta de evaluación de herramientas de monitoreo para plataformas tipo nube
...
Rodríguez Chona, Andrés Ricardo | 2016

A lo largo de este articulo se presenta una metodología para la evaluación de herramientas de monitoreo para la nube que se basa en una matriz de evaluación. Dicha matriz de evaluación se compone de dos dimensiones: la primera de perspectivas y la otra de criterios. Dichas dimensiones son parametrizables mediante la definición de los pesos de importancia de cada una y por medio de la definición de tantos criterios como se crean necesarios para obtener una mejor evaluación de las herramientas. Esta matriz se utilizó en una empresa como caso práctico y sirvió para determinar cuál era la herramienta de monitoreo que mejor se adaptaba a las necesidades de dicha empresa en la prestación de servicios en la nube; este caso de estudio se presenta en la parte final de este artículo. Se pretende que con esta propuesta las empresas del área de tecnologías de información (T.I.) puedan hacer la selección de herramientas de monitoreo para ambientes de la nube y puedan brindar una mayor confiabilidad a sus clientes y un mejor nivel de la prestación de servicios.

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