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Georg Eisenhart
Georg Eisenhart
Verified email at uni-ulm.de
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Cited by
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Year
The impact of the storage tier: A baseline performance analysis of containerized dbms
D Seybold, CB Hauser, G Eisenhart, S Volpert, J Domaschka
Euro-Par 2018: Parallel Processing Workshops: Euro-Par 2018 International …, 2019
112019
Scalable Shapeoid Recognition on Multivariate Data Streams with Apache Beam
A Tsitsipas, G Eisenhart, D Seybold, S Wesner
Science and Information Conference, 695-714, 2022
22022
A Methodology and Framework to Determine the Isolation Capabilities of Virtualisation Technologies
S Volpert, B Erb, G Eisenhart, D Seybold, S Wesner, J Domaschka
Proceedings of the 2023 ACM/SPEC International Conference on Performance …, 2023
12023
Are Kubernetes CNI solutions ready for> 10 Gbit/s?
S Volpert, G Eisenhart, J Domaschka
Universität Tübingen, 2022
12022
Using eBPF for Database Workload Tracing: An Explorative Study
J Domaschka, S Volpert, K Maier, G Eisenhart, D Seybold
Companion of the 2023 ACM/SPEC International Conference on Performance …, 2023
2023
Holistic Life-Cycle Management of Cloud-To-Thing Compute Entities
S Volpert, G Eisenhart, J Domaschka
2023 IEEE International Conference on Pervasive Computing and Communications …, 2023
2023
Recognition of Similar NetFlow Data in Decentralised Monitoring Environments
G Eisenhart, S Volpert, J Braitinger, J Domaschka
Universität Tübingen, 2022
2022
Performance Results of a Containerized MongoDB DBMS
D Seybold, CB Hauser, G Eisenhart, S Volpert, J Domaschka
Universität Ulm, 2020
2020
Konzeption und Realisierung einer Crowd Sensing Anwendung zur Verarbeitung generischer Fragebögen für Windows Phone
GH Eisenhart
Institute of Databases and Information Systems, 2016
2016
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