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

18.
Keßler R, Volpert S, Wesner S. Towards Improving Resource Allocation for Multi-Tenant HPC Systems: An Exploratory HPC Cluster Utilization Case Study. In: 2024 IEEE International Conference on Cluster Computing Workshops (CLUSTER Workshops). 2024 Sep. 14. p. 66-75.      [DOI] 
17.
Volpert S, Winkelhofer S, Wesner S, Domaschka J. An Empirical Analysis of Common OCI Runtimes' Performance Isolation Capabilities. In: Proceedings of the 15th ACM/SPEC International Conference on Performance Engineering. 2024. p. 60—70.
16.
Volpert S, Winkelhofer S, Wesner S, Seybold D, Domaschka J. Exemplary Determination of Cgroups-Based QoS Isolation for a Database Workload. In: Companion of the 15th ACM/SPEC International Conference on Performance Engineering. 2024. p. 235—241.
15.
Volpert S, Eichhammer P, Held F, Huffert T, Reiser HP, Domaschka J. The view on systems monitoring and its requirements from future Cloud-to-Thing applications and infrastructures. Future Generation Computer Systems. 2023; 141243—257.
14.
Volpert S, Erb B, Eisenhart G, Seybold D, Wesner S, Domaschka J. A Methodology and Framework to Determine the Isolation Capabilities of Virtualisation Technologies. In: Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering. 2023. p. 149—160.
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.

Open Thesis and Projects