The Institute of Distributed Systems is actively researching scalability, reliability, security and privacy, self-organization, and complexity management issues in distributed systems. We apply our research to a wide range of practical use cases, including cloud computing and vehicular communication networks.


Moreover, we offer lectures and projects related to our research, including computer networks, distributed systems, and security and privacy. Open theses and projects can be found on the corresponding web pages. For exams, please refer to corresponding details.

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Our Most Recent Publications

Schillings, C., Meißner, E., Erb, B., Bendig, E., Schultchen, D., Pollatos, O. and others 2024. Effects of a Chatbot-Based Intervention on Stress and Health-Related Parameters in a Stressed Sample: Randomized Controlled Trial. JMIR Mental Health. 11, 1 (May 2024), e50454.
Mehdi, M., Hauck, F.J., Pryss, R. and Schlee, W. 2024. Mobile health solutions for Tinnitus. Textbook on Tinnitus (Mar. 2024), 723–738.
Modern mobile devices are mainstream and ubiquitous devices. The widespread adoption of mobile devices has resulted in surge of mobile applications (apps) hosted on marketplaces (app stores) of several mobile platforms. Besides other benefits, these apps are also applied in healthcare-related and medical use, for instance, in case of tinnitus, where tinnitus disorder is associated with the perception of ringing sound without external sound source. In particular, for tinnitus, these apps allow provision of tinnitus-related relief, self-help, and general management. The collective aim of this chapter is to foster and report on Mobile Health (mHealth) solutions, in particular mobile apps within the tinnitus context. First, this chapter provides an up-to-date overview of existing mHealth apps available for major mobile platforms. Second, this chapter provides deep insights into quality and effectiveness of said mobile apps for tinnitus treatment and management. Finally, this chapter provides discussions in relation to the tinnitus-related mHealth apps.
Hauck, F.J. and Heß, A. 2024. Linearizability and state-machine replication. Workshop on Resilient Oper. - Byz. Fault Tol. and State-Machine Repl. – ROBUST (Mar. 2024).
Heß, A. and Hauck, F.J. 2024. A framework for consensus-agnostic state-machine replication based on threshold signatures. Workshop on Resilient Oper. - Byz. Fault Tol. and State-Machine Repl. – ROBUST (Mar. 2024).
Volpert, S., Erb, B., Eisenhart, G., Seybold, D., Wesner, S. and Domaschka, J. 2023. A Methodology and Framework to Determine the Isolation Capabilities of Virtualisation Technologies. Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering (Coimbra, Portugal, Apr. 2023), 149–160.
The capability to isolate system resources is an essential characteristic of virtualisation technologies and is therefore important for research and industry alike. It allows the co-location of experiments and workloads, the partitioning of system resources and enables multi-tenant business models such as cloud computing. Poor isolation among tenants bears the risk of noisy-neighbour and contention effects which negatively impacts all of those use-cases. These effects describe the negative impact of one tenant onto another by utilising shared resources. Both industry and research provide many different concepts and technologies to realise isolation. Yet, the isolation capabilities of all these different approaches are not well understood; nor is there an established way to measure the quality of their isolation capabilities. Such an understanding, however, is of uttermost importance in practice to elaborately decide on a suited implementation. Hence, in this work, we present a novel methodology to measure the isolation capabilities of virtualisation technologies for system resources, that fulfils all requirements to benchmarking including reliability. It relies on an immutable approach, based on Experiment-as-Code. The complete process holistically includes everything from bare metal resource provisioning to the actual experiment enactment.The results determined by this methodology help in the decision for a virtualisation technology regarding its capability to isolate given resources. Such results are presented here as a closing example in order to validate the proposed methodology.

Click here for an overview of all our publications.

Old news can be found in the archive.


Secretary's Office

Marion Köhler
Phone: +49 731 50-24140
available in the morning
Fax: +49 731 50-24142

Postal Address

Institute of Distributed Systems
Ulm University
Albert-Einstein-Allee 11
89081 Ulm

Visiting Address

Gebäude O27, Raum 349
89081 Ulm
Monday, Wednesday and Thursday all day
Tuesday and Friday mornings only.