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André Bauer
André Bauer
Senior Researcher, University of Chicago
Verified email at uchicago.edu
Title
Cited by
Cited by
Year
Modeling of aggregated IoT traffic and its application to an IoT cloud
F Metzger, T Hoßfeld, A Bauer, S Kounev, PE Heegaard
Proceedings of the IEEE 107 (4), 679-694, 2019
1012019
TeaStore: A Micro-Service Reference Application for Benchmarking, Modeling and Resource Management Research
J Kistowski, S Eismann, N Schmitt, A Bauer, J Grohmann, S Kounev
IEEE International Symposium on the Modelling, Analysis, and Simulation of …, 2018
89*2018
Methodological principles for reproducible performance evaluation in cloud computing
AV Papadopoulos, L Versluis, A Bauer, N Herbst, J Von Kistowski, ...
IEEE Transactions on Software Engineering 47 (8), 1528-1543, 2019
642019
Chameleon: A hybrid, proactive auto-scaling mechanism on a level-playing field
A Bauer, N Herbst, S Spinner, A Ali-Eldin, S Kounev
IEEE Transactions on Parallel and Distributed Systems 30 (4), 800-813, 2018
532018
The spec-rg reference architecture for faas: From microservices and containers to serverless platforms
E Van Eyk, J Grohmann, S Eismann, A Bauer, L Versluis, L Toader, ...
IEEE Internet Computing 23 (6), 7-18, 2019
442019
Chamulteon: Coordinated Auto-Scaling of Micro-Services
A Bauer, V Lesch, L Versluis, A Ilyushkin, N Herbst, S Kounev
39th IEEE International Conference on Distributed Computing Systems, 2019
302019
An experimental performance evaluation of autoscalers for complex workflows
A Ilyushkin, A Ali-Eldin, N Herbst, A Bauer, AV Papadopoulos, D Epema, ...
ACM Transactions on Modeling and Performance Evaluation of Computing Systems …, 2018
302018
Quantifying cloud performance and dependability: Taxonomy, metric design, and emerging challenges
N Herbst, A Bauer, S Kounev, G Oikonomou, EV Eyk, G Kousiouris, ...
ACM Transactions on Modeling and Performance Evaluation of Computing Systems …, 2018
292018
Autonomic forecasting method selection: Examination and ways ahead
M Züfle, A Bauer, V Lesch, C Krupitzer, N Herbst, S Kounev, V Curtef
2019 IEEE International Conference on Autonomic Computing (ICAC), 167-176, 2019
282019
Design and evaluation of a proactive, application-aware auto-scaler: Tutorial paper
A Bauer, N Herbst, S Kounev
Proceedings of the 8th ACM/SPEC on International Conference on Performance …, 2017
242017
On the Value of Service Demand Estimation for Auto-Scaling
B André, G Johannes, H Nikolas, K Samuel
Measurement, Modelling and Evaluation of Computing Systems (MMB), 2018
19*2018
Telescope: A Hybrid Forecast Method for Univariate Time Series
M Züfle, A Bauer, N Herbst, V Curtef, S Kounev
International work-conference on Time Series (ITISE 2017), 2017
192017
An automated forecasting framework based on method recommendation for seasonal time series
A Bauer, M Züfle, J Grohmann, N Schmitt, N Herbst, S Kounev
Proceedings of the ACM/SPEC International Conference on Performance …, 2020
172020
Time series forecasting for self-aware systems
A Bauer, M Züfle, N Herbst, A Zehe, A Hotho, S Kounev
Proceedings of the IEEE 108 (7), 1068-1093, 2020
172020
Telescope: An automatic feature extraction and transformation approach for time series forecasting on a level-playing field
A Bauer, M Züfle, N Herbst, S Kounev, V Curtef
2020 IEEE 36th International Conference on Data Engineering (ICDE), 1902-1905, 2020
152020
Toward a definition for serverless computing
S Kounev, C Abad, I Foster, N Herbst, A Iosup, S Al-Kiswany, AAE Hassan, ...
Schloss Dagstuhl--Leibniz-Zentrum fur Informatik, 2021
122021
FOX: Cost-awareness for autonomic resource management in public clouds
V Lesch, A Bauer, N Herbst, S Kounev
Proceedings of the 2018 ACM/SPEC international conference on performance …, 2018
112018
Libra: a benchmark for time series forecasting methods
A Bauer, M Züfle, S Eismann, J Grohmann, N Herbst, S Kounev
Proceedings of the ACM/SPEC International Conference on Performance …, 2021
72021
Kaa: Evaluating elasticity of cloud-hosted dbms
D Seybold, S Volpert, S Wesner, A Bauer, N Herbst, J Domaschka
2019 IEEE International Conference on Cloud Computing Technology and Science …, 2019
72019
Utilizing clustering to optimize resource demand estimation approaches
J Grohmann, S Eismann, A Bauer, M Zuefle, N Herbst, S Kounev
2019 IEEE 4th International Workshops on Foundations and Applications of …, 2019
62019
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