Constraints at the Institute due to SARS-CoV-2

Most members of the institute are still in home office. If you cannot reach someone by phone, please use e-mail.

In the Wintersemester 2020/2021 most courses will take place. The details are still worked out and will be published here in this website.

Lab Information Technology will not take place in the Wintersemester 2020/2021.

Institute of Information Resource Management

We currently focus our activities on autonomous Management of Information infrastructures, efficient realisation of Cloud- and Clustersystems and how through tight integration of application, middleware and hardware management service provision can be optimized.

Further information



Our latest publications


M. Leznik, R. Garcia Leiva, T. Le Duc, S. Svorobej, L. Närvä, M. Noya Mariño, P. Willis, K. M. Giannoutakis, R. Loomba, H. Humanes, López, P. Östberg, P. Casari and J. Domaschka, RECAP Artificial Data Traces, Oct. 2019.
D. Seybold, M. Keppler, D. Gründler and J. Domaschka, "Mowgli: Finding Your Way in the DBMS Jungle" , International Conference on Performance Engineering (ICPE), Apr. 2019. ACM.
[english] B. Schanzel, M. Leznik, S. Volpert, J. Domaschka and S. Wesner, "Unified Container Environments for Scientific Cluster Scenarios" in Proceedings of the 5th bwHPC Symposium, bwHPC Symposium, Tübingen, September 2018, Janczyk, Michael; Suchodoletz, Dirk von; Wiebelt, Bernd;, Eds. Apr.2019.
S. Mazumdar, D. Seybold, K. Kritikos and Y. Verginadis, "A Survey on Data Storage and PlacementMethodologies for Cloud-Big Data Ecosystem" , Journal of Big Data, Feb. 2019. Springer.
M. Sarker and S. Wesner, "Statistical Model Based Cloud Resource Management" in Economics of Grids, Clouds, Systems, and Services. GECON 2018, Feb.2019. pp. 107-115.

Click here for an overview of all publications.