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Dr.-Ing. Alexander Willner


IIoT Group Manager & Lecturer

Room 425
Einsteinufer 25
10587 Berlin

Phone: +49 30 314 21451
Phone: +49 30 3463 7116

Curriculum Vitae

Dr. Alexander Willner is the head of the Industrial Internet of Things (IIoT) Center at the Fraunhofer Institute for Open Communication Systems (FOKUS) and the head of the IIoT research group at the chair of Next Generation Networks (AV) at the Technical University Berlin (TUB). In joint collaboration with the Berlin Center of Digital Transformation (LZDV) he is working with his groups in applying standard-based Internet of Things (IoT) technologies to industrial domains. With a focus on moving towards the realization of interoperable communication within the Industry 4.0, the most important research areas include industrial real-time networks (TSN), middleware systems (OPC UA), distributed AI (Digital Twins) and distributed Cloud Computing (Edge Computing) including management and orchestration.

Prior research positions include the University Bonn, he holds an M.Sc. and a Ph.D. (Dr.-Ing.) in computer science from the University Göttingen and the Technical University Berlin respectively. His research interests are on distributed information systems, linked data, communication middleware and service-oriented architectures. He is active in relevant standardization activities and alliances and gives a corresponding lecture at the Technical University Berlin; and in the past at the Humboldt University of Berlin as well.

At various occasions Dr. Willner also acts as ambassador for the science capital Berlin.

Tips for Students and Researchers


Design of an Autonomous Management and Orchestration for Fog Computing
Zitatschlüssel Thomas Magedanz 2018-1
Autor Sabelo Diamini; Joyce Mwangama; Thomas Magedanz; Neco Ventura;
Jahr 2018
ISBN 978-1-5386-6477-3
Journal International Conference on Intelligent & Innovative Computing Applications (ICONIC), At Holiday Inn, Plaine Magnien, Mauritius
Monat December 2018
Verlag IEEE
Zusammenfassung Fog computing aims to bring cloud computing capabilities to the edge of the network, closer to the end user, enabling lower latencies, location awareness, and mobility support among other advantages. The combination of IoT and Fog encompasses a highly complex scenario with a huge amount of data and varying number of devices that must cooperate with each other. Fog computing networks may be designed as autonomous networks. In this case, there is a requirement for effective management and orchestration mechanisms to guarantee acceptable performance of applications and services, while still leveraging of cloud capabilities. Mechanisms typically applied to “cloud-only” implementations cannot naturally be migrated to the Fog given its particular characteristics. This calls for the design and development of new management and orchestration mechanisms for the Fog. In this paper we propose a design the use the finite state machine to enhance decision making in an autonomous Fog computing network. The proposed scheme is expected to optimise Fog computing networks autonomy and improve performance and cost.
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