Research priorities form the thematic framework for the continuous (further) development of our service portfolio. Projects and cooperations support us in developing and providing future-oriented and high-performative information services as well as communication and computing systems for our customers.
In the area of cloud infrastructure, we research the interaction of the categories compute - servers needed to provide cloud services, network - data transfer between computers and storage systems, and storage - hard disks and flash memory. The focus is particularly on virtualisation and networking. As a data centre, we can test and use the latest technological approaches in our own operations.
Discovering usefull infomation in data is the core aim of every data analysis process and does require several steps like inspecting, cleansing, transforming and modelling. In the area of data analytics, we focus on questions concerning the improvement of data inputs and outputs as well as the connection of data analytics and high-performance computing to high-performance data analytics.
Virtual research environments, IT-based data platforms and repositories for the publication and long-term preservation of research data are the focus of this core area of our research and development activities. We are aiming to integrate corresponding infrastructures into the work processes of our research clients in a user-oriented manner to support data sharing and data consumption.
Research Data Management
Securing research data in the long term, reliably and in accordance with the FAIR principles and the requirements of research-funding institutions as well as keeping it accessible is one of the central tasks for computing centres. We carry out research and cooperation work along the life cycle of research data in the areas of documentation, analysis, publication and archiving.
High Performance Computing
High Performance Computing is used to answer computationally intensive questions in research. We work in the area of accessibility and efficiency of HPC resources to improve their use. We are also involved in the development and implementation of concepts and solutions for integrated computing environments.
Scheduling & Resource Management
Scheduling & Resource Management extends into many research areas and is especially important in the context of cooperative research projects. We focus our work on system integration and networking of distributed infrastructures. Our results are applied, among others, in high-performance computing.