CV

Univ. Prof. Dr. -Ing. Dr. h.c. Stefan Wesner

Academic education

1997 Dipl.-Ing. “Kaskadierbare Simulationsumgebung für ATM-Multiplex“, Universität des Saarlands

Scientific degrees

2008 Dr.-Ing. with distinction: Integrated Management Framework for Dynamic Virtual Organisations, University of Stuttgart, 2008

Scientific career

2022 - present Director IT Centre University of Cologne

Chair of Parallel and Distributed Systems

2018 - 2022 Chief Information Officer (CIO) Ulm University

2013 - 2022 Director Kommunikations- und Informationszentrum (kiz), Ulm University

2013 - 2022 Director Institute/Chair of Information Resource Management, Ulm University

2013 - 2022 Scientific Chairman BelWü

2011 - 2012 Managing Director High Performance Computing Centre Stuttgart (HLRS)

2006 - 2010 Head of Applications and Visualization, HLRS

2004 - 2006 Group Leader Distributed Systems Research, HLRS

1997 - 2004 Scientific employee, Stuttgart University Computing Centre

Honors / Awards / Memberships

2017 DonNTU Donetzk/Prokrowsk Award of the honorary degree Dr. h.c.

Contact Information

Univ.-Prof. Dr.-Ing. Dr. h.c. Stefan Wesner SFB1399
Univ.-Prof. Dr.-Ing. Dr. h.c. Stefan Wesner

Professor (W3), Computer Science/ Chair of Parallel and Distributed Systems

University of Cologne

Regional Computing Center (RRZK)

Curriculum Vitae (CV)

10 most relevant publications

  • Seybold, D., Wesner, S. and Domaschka, J. (2020) ‘King louie: reproducible availability benchmarking of cloud-hosted DBMS’, in Proceedings of the 35th Annual ACM Symposium on Applied Computing. New York, NY, USA: Association for Computing Machinery, pp. 144–153. Available at: doi.org/10.1145/3341105.3373968 (Accessed: 2 February 2022).
     
  • Schanzel, B., Leznik, M., Volpert, S., Domaschka, J., Wesner, S. (2019) ‘Unified Container Environments for Scientific Cluster Scenarios’, in Proceedings of the 5th bwHPC Symposium. bwHPC Symposium, Tübingen: Universität Tübingen. doi:10.15496/publikation-29052.
     
  • Hauser, C.B., Domaschka, J. and Wesner, S. (2018) ‘Predictability of Resource Intensive Big Data and HPC Jobs in Cloud Data Centres’, in 2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C), pp. 358–365. doi:10.1109/QRS-C.2018.00069.
     
  • Hauser, C.B. and Wesner, S. (2018) ‘Reviewing Cloud Monitoring: Towards Cloud Resource Profiling’, in 2018 IEEE 11th International Conference on Cloud Computing (CLOUD), pp. 678–685. doi:10.1109/CLOUD.2018.00093.
     
  • Nikolov, V., Wesner, S., Frasch, E., Hauck, F.J. (2017) ‘A Hierarchical Scheduling Model for Dynamic Soft-Realtime System’, p. 23 pages. Conference: 29th Euromicro Conference on Real-Time Systems (ECRTS 2017). DOI: 10.4230/LIPIcs.ECRTS.2017.7, URN: urn:nbn:de:0030-drops-71691, URL: https://drops.dagstuhl.de/opus/volltexte/2017/7169/
     
  • Salk, J., Berger, H., Focht, E., Mosch, C., Siegmund, K., Kushnarenko, V., Kombrink S., Wesner S. (2016). Motivation and Implementation of a Dynamic Remote Storage System for I/O Demanding HPC Applications. In: Taufer, M., Mohr, B., Kunkel, J. (eds) High Performance Computing. ISC High Performance 2016. Lecture Notes in Computer Science, vol 9945. Springer, Cham. https://doi.org/10.1007/978-3-319-46079-6_42.
     
  • Östberg, P-O., Byrne, J., Casari, P., Eardly, P., Fernandez Anta, A., Forsman, J., Kennedy, J., Le-Duc, T., Noya Mariño, M., Loomba, R., Ángel López Peña, M., Lápez Veiga, J., Lynn, T., Mancuso, V., Svorobej, S., Torneus, T., Wesner, S., Willis, P., Domaschka, J., "Reliable capacity provisioning for distributed cloud/edge/fog computing applications," 2017 European Conference on Networks and Communications (EuCNC), 2017, pp. 1-6, doi: 10.1109/EuCNC.2017.7980667.
     
  • Rotta, J. Nolte, V. Nikolov, L. Schubert, S. Bonfert and S. Wesner, "MyThOS — Scalable OS Design for Extremely Parallel Applications," 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), 2016, pp. 1165-1172, doi: 10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0179.
     
  • Neuer, M., Mosch, C., Salk, J., Siegmund, K., Kushnarenko, V., Kombrink, S., Nau, T. & Wesner, S., ‘Storage Systems for I/O-Intensive Applications in Computational Chemistry’. In: Resch, M., Bez, W., Focht, E., Kobayashi, H., Qi, J., Roller, S. (eds) Sustained Simulation Performance 2015. Springer, Cham. https://doi.org/10.1007/978-3-319-20340-9_5.
     
  • Libin P, Beheydt G, Deforche K, Imbrechts S, Ferreira F, Van Laethem K, Theys K, Carvalho AP, Cavaco-Silva J, Lapadula G, Torti C, Assel M, Wesner S, Snoeck J, Ruelle J, De Bel A, Lacor P, De Munter P, Van Wijngaerden E, Zazzi M, Kaiser R, Ayouba A, Peeters M, de Oliveira T, Alcantara LC, Grossman Z, Sloot P, Otelea D, Paraschiv S, Boucher C, Camacho RJ, Vandamme AM. RegaDB: community-driven data management and analysis for infectious diseases. Bioinformatics. 2013 Jun 1;29(11):1477-80. doi: 10.1093/bioinformatics/btt162. Epub 2013 May 2. PMID: 23645815; PMCID: PMC3661054
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