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Efficient Fluorescence Microscopy Analysis over a Volunteer Grid/Cloud Infrastructure

2014; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-662-45483-1_9

1865-0937

Miguel Da Silva, Sergio Nesmachnow, Maximiliano Geier, Esteban Mocskos, Juan F. Angiolini, Valeria Levi, Alfredo Cristóbal Cristóbal,

Advanced Fluorescence Microscopy Techniques

This work presents a distributed computing algorithm over volunteer grid/cloud computing systems for Fluorescence Correlation Spectroscopy, a computational biology technique for obtaining quantitative information about the motion of molecules in living cells. High performance computing is needed to cope with large computing times when performing complex simulations, and volunteer grid/cloud computing emerges as a powerful paradigm to solve this kind of problems by coordinately using many computing resources distributed around the world. The proposed algorithm applies a domain decomposition technique for performing many simulations using different cell models at the same time. The experimental evaluation performed on a volunteer distributing computing infrastructure demonstrates that efficient execution times are obtained when using OurGrid middleware.