- About IBCN
- Network Modeling, Design and Evaluation
- Mobile and Wireless Networking
- High Performance Multimedia Processing
- Autonomic Computing and Networking
- Service Engineering
- Content Management and Search
- Data Analysis en Machine Learning
- Information Extraction and Retrieval
- Physical Layer Design
- Application Domains
- Facilities and Tools
Autonomic Computing and Networking
For large and complex systems, autonomic behaviour is a key enabler to realize well-performing systems at low operational cost. The scale and complexity of currently deployed distributed systems is becoming prohibitive for pure human intervention, because of the cost associated with such interventions. Also, to guarantee optimal behaviour (e.g. in terms of system throughput, or quality offered to end-users) in changing environments, requires interventions beyond the possibilities of human actors.
The research cluster on Autonomic Computing and Networking is building upon expertise gained during the past 5 years on advanced clusters and grid systems to design and evaluate such autonomic systems. The distributed systems studied typically combine communication resources and computing facilities, leading to advanced co-allocation problems. The autonomic paradigm is also pursued in the mobile computing context, where the harsh wireless environment and the intrinsic limitations of mobile terminals are the key challenges addressed.
Farhan Azmat Ali, Bas Boone, Jens Buysse, Samuel Dauwe, Tim De Pauw, Dieter De Witte, Stein Desmet, Jeroen Famaey, Jan Fostier, Raf Hens, Steven Latré, Stijn Melis, Kevin Mets, Hendrik Moens, Pieter Simoens, Tim Stevens, Wim Van de Meerssche, Bert Vankeirsbilck, Tim Verbelen, Bruno Volckaert, Tim Wauters