Research Concept and Fields
The research at the Institute encompasses the measurement, modeling, evaluation and improvement of adaptive systems to solve real world problems in practice. Appropriate models and their parameters are first determined, if possible by means of empirical data. Depending on the concrete problem, models are developed on technical, user - or system level. The models represent the basis for identifying problems in practice and for the evaluation of improved mechanisms. Due to the complexity of the systems, simulations are often required for performance evaluation. Besides optimal solutions, simple deployable heuristics are often needed in practice. For this purpose, relevant practical problems are identified in close cooperation with industry and other research institutes.
Scientific methods and modeling approaches from different areas are applied: queuing theory, probability theory, simulation, machine learning, optimization theory, subjective user studies and objective measurement studies, image and video analysis, social network analysis. Measurements are carried out in field trials as well as special purpose testbeds set up at the chair in order to gain empirical data.
The research areas of the chair are as follows.
- New paradigms for traffic management in the Internet
- Smartphone applications and energy efficiency
- Mobile video delivery in the Internet
- Crowdsourcing applications and systems
- Data sensing and monitoring approaches for distributed services
- Analysis and modeling of social networks
- Enterprise Social Networks
- (Mobile) Cloud Computing and Cloud Applications
- QoE modeling and QoE Management
- Cloud Gaming and Gaming Anywhere
- Network Virtualization and Resource Management
- Cloudification: migration of services and functions to the cloud
- Software defined networking: programmability of networks and entities