The CRS4 DC group's main research interest is developing new computing solutions for heavy duty, data-driven scientific applications. We are interested both in how one should cast the problem at hand so that it will better fit a given computational infrastructure, and in how one can adapt a given computational infrastructure to efficiently solve it.
Representative examples of current active research domains are the following:
- SOA based control planes for the dynamic allocation of computational infrastructures, with the goal of providing a control plane architecture that can handle the allocation and configuration of network and computational resources with a uniform approach;
- virtual clusters for HPC applications. More specifically, we are interested in the use of virtual clusters for large scale data-driven applications, where these flexible tools promise to provide an elegant mechanism to move computation where data reside;
- specialized parallel computing frameworks, map-reduce as an example, designed to handle large scientific data-driven applications with particular emphasis on biomedical data.
Our work is partially supported by the Italian Ministry of Research under the CYBERSAR project.