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The Computer Science Research (CSR) department researches and develops software for parallel and distributed systems. One focus of our work is Grid computing, a system for efficiently utilizing geographically distributed resources across the network. The varying dynamics and heterogeneity of the resources involved in this system (computing power, storage space and network bandwidth) make the task of integrating and exploiting these resources difficult.

Our research is especially concentrated on one aspect of Grid computing -- the management of distributed data in global systems. In order to counteract the potential unreliability of individual resources in the Grid environment, we must create replicas of data in the system in order to ensure the data is available when it is needed. The number of replicas and their locations on the network should be optimized to facilitate the most efficient access to the data. These are two of the many problems we address with our work.

Another important focus of our research is autonomic and scalable systems, with an emphasis on the design and development of self-controlled system and cluster resource management software.

Our Grid concepts and software are put to the test in complex biotechnology applications. This work is part of our contribution to international research projects, which allow us to exchange knowledge with end users and other research groups.