Organic Computing: Adaptivity and Self-organization at Runtime @ rue Barrault room E200

Speaker : Prof. Dr.-Ing. C. Müller-Schloer
Date: 04/07/2014
Time: 3:00 pm - 4:00 pm


Organic Computing has emerged almost 10 years ago as a challenging vision for future in-formation processing systems, based on the insight that already in the near future we will be surrounded by large collections of autonomous systems equipped with sensors and actuators to be aware of their environment, to communicate freely, and to organize themselves. The presence of networks of intelligent systems in our environment opens fascinating application areas but, at the same time, bears the problem of their controllability. Hence, we have to construct these systems – which we increasingly depend on – as robust, safe, flexible, and trustworthy as possible. In order to achieve these goals, our technical systems will have to act more independently, flexibly, and autonomously, i.e. they will have to exhibit life-like properties. We call those systems organic. Hence, an Organic Computing System is a technical system, which adapts dynamically to the current conditions of its environment. It will be self-organizing, self-configuring, self-healing, self-protecting, self-explaining, and context-aware.First steps towards adaptive and self-organizing computer systems have already been undertaken. Adaptivity, reconfigurability, emergence of new properties, and self-organisation are topics in a variety of research projects. From 2005 until 2011 the German Science Foundation (DFG) has funded a priority research program on Organic Computing. It has addressed fundamental challenges in the design of complex computing systems; its ojective was a deeper understanding of emergent global behaviour in self-organising systems and the design of specific concepts and tools to support the construction of Organic Computing systems for technical applications.This presentation will briefly recapitulate the basic motivation for Organic Computing, explain key concepts, and illustrate these concepts with some project examples. We will then look into possible future directions of OC research concentrating on (1) Online optimization and (2) Social Organic Computing.

Biography: Christian Müller-Schloer studied EE at the Technical University of Munich and received the Diploma degree in 1975, the Ph. D. in semiconductor physics in 1977. In the same year he joined Siemens Corporate Technology where he worked in a variety of research fields, among them CAD for communication systems, cryptography, simulation accelerators and RISC architectures.From 1980 until 1982 he was a member of the Siemens research labs in Princeton, NJ, U.S.A. In 1991 he was appointed full professor of computer architecture and operating systems at the University of Hannover. His institute, later renamed to Institute of Systems Engineering