Autonomic software and systems
Different degrees of autonomy are pervasive in modern ICT systems. The driver towards more autonomy is the need to handle the complexity of the systems while at the same time increase the quality (efficiency, safety, etc) of the resulting system. For example the promise of autonomous vehicles is to increase service levels for customers, while at the same time decreasing the overall carbon-footprint of traffic. Analogously in datacenters autonomy is used to guarantee QoS for services, while optimising the energy-expenditure of the computing infrastructure.
In this course we will study the principles of autonomy for ICT systems using the Mape-K reference architecture. We will present a comprehensive framework for the design of autonomic systems irrespective of their levels of autonomy, and their application areas.
- Autonomic computing examples
- Autonomic computing architectures
- The monitoring function
- Control systems
- The adaptation function
- The decision function
- Evaluation issues
The course consists of lectures, exercises, and a project. The project is either a research project reported in writing, or a programming project using the carla.org simulator. You will need to give a presentation based on the project.
More information in Åbo Akademi’s course page.
You can get a digital badge after completing this course.
NB! You will find this course under the name “Åbo Akademi: FITech ICT courses spring 2020” on the application form.
HUOM! Löydät kurssin hakulomakkeella valitsemalla hakukohteen “Åbo Akademi: FITech-ICT kurssit kevät 2020”
OBS! Du hittar den här kursen på ansökningsblanketten under namnet “Åbo Akademi: FITech-ICT kurser vår 2020”
Further information about the studies
Contact person for applications