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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.

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Edge Computing: A Comprehensive Survey of Current Initiatives and a Roadmap for a Sustainable Edge Computing Development
Citation key willner2019edgesustainability
Author Hamm, Andrea and Willner, Alexander and Schieferdecker, Ina
Title of Book Proceeding of WI2020
Pages 694–709
Year 2020
DOI 10.30844/wi_2020_g1-hamm
Address Potsdam
Month mar
Publisher GITO Verlag
Abstract Edge Computing is a new distributed Cloud Computing paradigm in which computing and storage capabilities are pushed to the topological edge of a network. However, various standards and implementations are promoted by different initiatives. Lead by a reference architecture model for Edge Computing, current initiatives are analyzed by explorative content analysis. Providing two main contributions to the field, we present, first, how current initiatives are characterized, and second, a roadmap for sustainable Edge Computing relating three dimensions of sustainable development to four cross-concerns of Edge Computing. Findings show that most initiatives are internationally organized software development projects; important branches are currently telecom and industrial sectors; most addressed is the network virtualization layer. The roadmap reveals numerous chances and risks of Edge Computing related to sustainable development; such as the use of renewable energies, biases, new business models, increase and decrease of energy consumption, responsiveness, monitoring and traceability.
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