Research

Our research is aimed at developing novel methods, techniques and tools for the engineering of dependable and efficient computer-based systems, including both classical software systems and cyber-physical systems, spanning the following research areas:

1. Design, modeling and analysis of software systems and IT infrastructures
2. Autonomic and self-aware computing
3. Predictive data analytics, machine learning and artificial intelligence (AI)
4. Benchmarking and experimental analysis

We are focussing on system performance, availability, reliability, security and energy-efficiency, while considering the following application and technology domains:

• Cloud computing, virtualization, software-defined data centers
• Cyber-physical systems, Internet-of-Things, Industry 4.0

Our research is inspired by the vision of Self-Aware Computing Systems, which are a new class of systems designed with built-in model learning and reasoning capabilities enabling autonomic and proactive decision making at run-time. The following pages provide an overview of our long-term vision and research agenda as well as industry cooperations:

• Research Areas and Technology Domains
• Vision
• Industry Cooperations
• Awards and Recognitions
• Publications