Wednesday, March 21, 2012

Austria : Doctoral College Adaptive Distributed Systems


The Doctoral College Adaptive Distributed Systems intends to work on the challenging questions of today's distributed computer systems by bringing together experts from various fields of computer science, mathematics and statistics, thus, fostering a multidisciplinary approach.

Call for applications 2012/2013:

  • Continuous filling has started and new applications are welcome
  • Ultimate closing: March 15th, 2013
  • Start of program: Winter semester 2012 (phase-in)

Overview

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 faculty members are:
  • Prof. Dr. Schahram Dustdar, Institute of Information Systems
  • Prof. Dr. Peter Filzmoser, Institute of Statistics and Probability Theory
  • Prof. Dr. Gerti Kappel, Institute of Software Technology and Interactive Systems
  • 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

Support of female PhD students

The Doctoral College seeks to increase the percentage of female researchers, and applications of qualified women are particularly encouraged. At least 50% of the PhD students will be female.
Further Information
Application Deadline : 15 March 2013
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Posted on 2012-03-20 12:10:33
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