Constraints at the Institute due to SARS-CoV-2

Most members of the institute are still in home office. If you would like to reach us, please do so by e-mail.

In the Winter Term 2021/2022 most courses will take place. The details will be announced on the according websites.

Lab Information Technology will not take place in the Winter Term 2022.

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

Impressions

  

Our latest publications

2019

93.
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.
DOI:10.1145/3297663.3310303
92.
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.
DOI:10.1186/s40537-019-0178-3
91.
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.
DOI:https://doi.org/10.1007/978-3-030-13342-9_9
ISBN:978-3-030-13341-2
90.
K. Kritikos, C. Zeginis, J. Iranzo, R. S. Gonzalez, D. Seybold, F. Griesinger and J. Domaschka, "Multi-Cloud Provisioning of Business Processes" , Journal of Cloud Computing, 2019. Springer.
89.
M. Sarker and S. Wesner, "Stability analysis of a statistical model for Cloud resource management", 2019.

Click here for an overview of all publications.