- The admission to the Doctoral College is officially closed
- The successful kick-off event was held on October 11th, 2012
Description of the Doctoral College
Computing has tremendously evolved since the starting days of the von Neuman architecture. For decades, we have been trained in the von Neumann principle of sequential computing. With the advent of more expressive programming language concepts, such as agents and active objects, and network technology, ranging from the Internet protocol to sensor networks, we have been able to think in terms of distributed computing.
Nowadays, distributed systems are kind of omnipresent, ranging from the hardware level over networks to applications, such as multi-core hardware systems, cloud computing, social networks, interorganizational systems, and swarm intelligence, to mention just a few. At the same time the need for building adaptive systems taking changes as primary artifacts in system development into account has become one of the prevailing design principles in engineering and technology. To this end, adaptive distributed systems are among the cornerstones of our modern society, at the same time covering a plethora of open research questions.
What are the theoretical foundations covering adaptiveness and distribution? When to use which technology (middleware) to build the systems? How to cope with the ever increasing application domains, with their peculiarities and idiosyncrasies? All of these research questions are theoretically challenging and at the same time of growing impact to our society.
The Doctoral College "Adaptive Distributed Systems" intends to work on those questions by bringing together experts from various fields of computer science, mathematics and statistics, thus, fostering a multidisciplinary approach. The conceptual framework of the Doctoral College, as depicted in the figure above, consists of four interdependent layers. Based on the theoretical foundations covering algorithms, verification, and validation (A), the middleware layer investigates current technology ranging from service-oriented cloud-based computing to quality-of-service aspects such as dependability and adaptability (B). Model-driven development as third and cross-cutting layer provides appropriate abstraction mechanisms over the other three layer to specify adaptive distributed systems in terms of platform independent models ensuring interoperability and reuse at the same time (C). Various applications comprise the fourth layer demonstrating the pervasive character of adaptive distributed systems, ranging from robotics to computational science to Web science and interorganizational systems (D).
The program is jointly organized by the faculties of Informatics, Mathematics and Geoinformation, reflecting the interdisciplinary character of distributed systems.
The participating key faculty members are:
- Head of the Doctoral College
Prof. Dr. Gerti Kappel, Institute of Software Technology and Interactive Systems
- Prof. Dr. Schahram Dustdar, Institute of Information Systems
- Prof. Dr. Peter Filzmoser, Institute of Statistics and Probability Theory
- Prof. Dr. Jens Knoop, Institute of Computer Languages
- Prof. Dr. Günther Raidl, Institute of Computer Graphics and Algorithms
- Prof. Dr. Joachim Schöberl, Institute of Analysis and Scientific Computing
- Prof. Dr. Jesper Larsson Träff, Institute of Information Systems
- Prof. Dr. Helmut Veith, Institute of Information Systems
- Prof. Dr. Hannes Werthner, Institute of Software Technology and Interactive Systems
The participating doctoral students are:
The Doctoral College Adaptive Distributed Systems is co-sponsored by the Federation of Austrian Industries. We thank our sponsors for their support!