Cluster infrastructure for biological and health related research

Abstract

Researchers in the biological and health industries need powerful and stable systems for their work. These systems must be dependable, fault-tolerant, highly available and easy to use. To cope with these demands we propose the use of computational and data clusters in a fail-over configuration combined with the grid technology and job scheduling. Our infrastructure has been deployed successfully for running time-critical applications in commercial environments. We also present experimental results from this pilot implementation that demonstrate the viability of our approach.