Prof. Dr.-Ing. Franz J. Hauck
Prof. Hauck studied computer science at the University of Erlangen-Nürnberg. After two years in industry he earnt his dissertation and habilitation also from the University of Erlangen-Nürnberg interrupted by a one year stay at the Vrije Universiteit Amsterdam. Since 2002 he is teaching and doing research at the Ulm University as a professor for distributed systems at the institute with same name.
His research interests are special-purpose middleware systems with focus on fault-tolerant server systems, but currently also on resource management of soft real-time systems, privacy-preserving communication, and mobile crowd sensing. Current projects are OptSCORE, PriCloud and ESIT.
Prof. Hauck is a member of the ACM, the German Computer Society, GI and of its special interest groups on Operating Systems, Communication and Distributed Systems (KuVS), and Fault-tolerant Computer Systems (FERS).
He is also an elected member of the Faculty Coucil of his Faculty, elected member and head of the Doctoral Committee for Dr. rer. nat., and appointed member of the Joint Comission for Teacher Education. As such he is also member of the Academic Affairs Commission, the Examination Board and the Admission Committee for teacher education programmes. He is chairman of the Examination Board.
His three most recent publications:
Scheduling interactive HPC applications
Proc. of the 8th Int. Real-Time Scheduling Open Problems Seminar (RTSOPS)
A hierarchical scheduling model for dynamic soft-realtime systems
Proc. of the 29th Euromicro Conference on Real-Time Systems (ECRTS)
Design of a Privacy-Preserving Decentralized File Storage with Financial Incentives
Proc. of IEEE Security & Privacy on the Blockchain (IEEE S&B) (affiliated with EUROCRYPT 2017)
Abstract: Surveys indicate that users are often afraid to entrust data to cloud storage providers, because these do not offer sufficient privacy. On the other hand, peer-2-peer–based privacy-preserving storage systems like Freenet suffer from a lack of contribution and storage capacity, since there is basically no incentive to contribute own storage capacity to other participants in the network. We address these contradicting requirements by a design which combines a distributed storage with a privacy-preserving blockchain-based payment system to create incentives for participation while maintaining user privacy. By following a Privacy-by-Design strategy integrating privacy throughout the whole system life cycle, we show that it is possible to achieve levels of privacy comparable to state-of-the-art distributed storage technologies, despite integrating a payment mechanism. Our results show that it is possible to combine storage contracts and payments in a privacy-preserving way. Further, our system design may serve as an inspiration for future similar architectures.
A complete list of publications as well as further details to projects, Ph.D. students and given classes can be found on a details page.