 |
Organic computing or autonomic computing respectively, tries to transfer principles of biological processes to information technology. This results in self-organizing systems that dynamically adapt to the needs of their respective environment by so called self-x properties, like self-improvement, self-healing, self-organization or self-protection. Consequently, these systems have to observe their environment during run time, in order to determine how they have to adapt themselves.
Self organizing systems have some apparent advantages: they are flexible, robust against (partial) failures and self optimizing and they are able to adapt to the users’ needs. As not each variant of use has to be explicitly implemented, their development effort decreases. Furthermore, also their maintenance and repair effort decreases due to the above mentioned self-x properties.
Nevertheless, such learning technical systems may make mistakes similar to biological systems. That might be a disadvantage, particularly for safety critical applications.
C-LAB has been working on principles of organic computing for several years, especially in the area of embedded systems. We focus on the following topics: Practical applications of our research on organic computing are visible with the Paderkickers, the Paderborn Robot Soccer Team and MEXI, a Robotic Head with Emotions.
But organic computing has also reached industrial applications. Thus, the Siemens AG already offers a solution that increases security and the availability of client server systems, called Auto Immune Systems (AIS). C-LAB supports projects like AIS by technical and economic feasibility studies, system design and implementation of demonstrators.
However, organic computing is not restricted to embedded systems or distributed networks. Also for distributed production processes, administration processes, business processes or logistic processes organic computing principles can help to optimize costs and efficiency.
|
Deutsch
Business Activities
Operation Fields
