Institute of Information Resource Management

About

Simon Volpert manages the IT infrastructure at the institute. As a DevOps enthusiast, he focusses on automating physical and virtual infrastructure to ensuren experimentation happy environment with high availability and performance for research and teaching activities. 

Research

His research focuses on performance engineering, specifically on assessing and quantifying performance isolation among competing workloads. Performance interference, or the so-called "noisy neighbor" effect in cloud and grid infrastructures, is the main focus of his work.

Publications

13.
Volpert S, Eisenhart G, Domaschka J. Holistic Life-Cycle Management of Cloud-To-Thing Compute Entities. In: 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). 2023. p. 50—55.
12.
Domaschka J, Volpert S, Maier K, Eisenhart G, Seybold D. Using eBPF for Database Workload Tracing: An Explorative Study. In: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering. 2023. p. 311—317.
11.
Volpert S, Eisenhart G, Domaschka J. Are Kubernetes CNI solutions ready for> 10 Gbit/s?. 2022;
10.
Eisenhart G, Volpert S, Braitinger J, Domaschka J. Recognition of Similar NetFlow Data in Decentralised Monitoring Environments. 2022;
9.
Domaschka J, Volpert S, Seybold D. Hathi: an MCDM-based approach to capacity planning for cloud-hosted DBMS. In: 2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC). 13 ed. IEE/ACM; 2020 Dec.. p. 143—154.
8.
Seybold D, Volpert S, Domaschka J. Mowgli. SPEC Research Group. 2020 Nov.;      [Weblink] 
7.
Seybold D, Hauser CB, Eisenhart G, Volpert S, Domaschka J. Performance Results of a Containerized MongoDB DBMS. 2020;
6.
Seybold D, Volpert S, Wesner S, Bauer A, Herbst N, Domaschka J. Kaa: Evaluating elasticity of cloud-hosted dbms. In: 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom). 11 ed. IEEE; 2019 Dec.. p. 54—61.
5.
Seybold D, Hauser CB, Eisenhart G, Volpert S, Domaschka J. The impact of the storage tier: A baseline performance analysis of containerized dbms. In: Euro-Par 2018: Parallel Processing Workshops: Euro-Par 2018 International Workshops, Turin, Italy, August 27-28, 2018, Revised Selected Papers 24. 2019 Oct.. p. 93—105.
4.
Schanzel B, Leznik M, Volpert S, Domaschka J, Wesner S. Unified Container Environments for Scientific Cluster Scenarios. 2019 Apr.;      [Weblink] 

Open Thesis and Projects