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Networked systems & scalable computing

Networked systems are computer systems that are interconnected via networks and share data and resources. These systems allow users to access and collaborate on remote devices and data, regardless of time or location. An important aspect of networked systems is their scalability, which allows performance and capacity to increase to meet growing demands. Scalable systems can be scaled horizontally by adding more devices or scaled vertically by increasing the resources on a device.

In our department, different aspects of networked systems and scalable processing are addressed. For example, the research group "Distributed Systems and Intelligent Computing" uses machine learning methods to develop efficient, adaptable, resilient, usable and secure networked systems for problems in the areas of intelligent wireless networking, smart sensor systems and resilient communication in crisis scenarios. Another important feature of networked systems is their security: The "IT Security" group is researching cryptographic methods to protect networked systems, data and cloud infrastructures in order to prevent access by unauthorized users and avoid data loss.

The "Big Data Analytics" group and the "Database Systems" group develop distributed algorithms and systems for complex, data-centric tasks to improve criteria such as efficiency, robustness, elasticity, and energy consumption. The group "Data Science in Biomedicine" investigates high-performance computing techniques for biomedical problems.

The "Algorithmics group" investigates algorithms for complex problems in the analysis of networks, while the "Business Informatics group" deals with the use of the Internet or WWW for digital marketing.