INVESTIGADORES
MOCSKOS Esteban Eduardo
capítulos de libros
Título:
Cloud Computing for Fluorescence Correlation Spectroscopy Simulations
Autor/es:
L. MARROIG; C. RIVERÓN; S. NESMACHNOW; E. MOCSKOS
Libro:
High Performance Computing
Editorial:
Springer International Publishing
Referencias:
Año: 2015; p. 34 - 49
Resumen:
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.
