| Teastore: A micro-service reference application for benchmarking, modeling and resource management research J Von Kistowski, S Eismann, N Schmitt, A Bauer, J Grohmann, S Kounev 2018 IEEE 26th International Symposium on Modeling, Analysis, and Simulation …, 2018 | 188* | 2018 |
| Serverless applications: Why, when, and how? S Eismann, J Scheuner, E Van Eyk, M Schwinger, J Grohmann, N Herbst, ... IEEE Software 38 (1), 32-39, 2020 | 160 | 2020 |
| A SPEC RG cloud group's vision on the performance challenges of FaaS cloud architectures E Van Eyk, A Iosup, CL Abad, J Grohmann, S Eismann Companion of the 2018 acm/spec international conference on performance …, 2018 | 113 | 2018 |
| A review of serverless use cases and their characteristics S Eismann, J Scheuner, E Van Eyk, M Schwinger, J Grohmann, N Herbst, ... arXiv preprint arXiv:2008.11110, 2020 | 109 | 2020 |
| The state of serverless applications: Collection, characterization, and community consensus S Eismann, J Scheuner, E Van Eyk, M Schwinger, J Grohmann, N Herbst, ... IEEE Transactions on Software Engineering 48 (10), 4152-4166, 2021 | 106 | 2021 |
| How is performance addressed in DevOps? CP Bezemer, S Eismann, V Ferme, J Grohmann, R Heinrich, P Jamshidi, ... Proceedings of the 2019 ACM/SPEC International Conference on Performance …, 2019 | 95 | 2019 |
| Sizeless: Predicting the optimal size of serverless functions S Eismann, L Bui, J Grohmann, C Abad, N Herbst, S Kounev Proceedings of the 22nd International Middleware Conference, 248-259, 2021 | 92 | 2021 |
| Predicting the costs of serverless workflows S Eismann, J Grohmann, E Van Eyk, N Herbst, S Kounev Proceedings of the ACM/SPEC international conference on performance …, 2020 | 71 | 2020 |
| 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 | 70 | 2019 |
| On learning in collective self-adaptive systems: State of practice and a 3d framework M D'Angelo, S Gerasimou, S Ghahremani, J Grohmann, I Nunes, ... 2019 IEEE/ACM 14th International Symposium on Software Engineering for …, 2019 | 59 | 2019 |
| Monitorless: Predicting performance degradation in cloud applications with machine learning J Grohmann, PK Nicholson, JO Iglesias, S Kounev, D Lugones Proceedings of the 20th international middleware conference, 149-162, 2019 | 48 | 2019 |
| On the value of service demand estimation for auto-scaling A Bauer, J Grohmann, N Herbst, S Kounev Measurement, Modelling and Evaluation of Computing Systems: 19th …, 2018 | 32 | 2018 |
| Why is it not solved yet? challenges for production-ready autoscaling M Straesser, J Grohmann, J von Kistowski, S Eismann, A Bauer, ... Proceedings of the 2022 ACM/SPEC on International Conference on Performance …, 2022 | 26 | 2022 |
| 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 | 25 | 2021 |
| 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 | 21 | 2020 |
| A predictive maintenance methodology: predicting the time-to-failure of machines in industry 4.0 M Züfle, J Agne, J Grohmann, I Dörtoluk, S Kounev 2021 IEEE 19th International Conference on Industrial Informatics (INDIN), 1-8, 2021 | 19 | 2021 |
| Incremental calibration of architectural performance models with parametric dependencies M Mazkatli, D Monschein, J Grohmann, A Koziolek 2020 IEEE International Conference on Software Architecture (ICSA), 23-34, 2020 | 18 | 2020 |
| Online model learning for self-aware computing infrastructures S Spinner, J Grohmann, S Eismann, S Kounev Journal of Systems and Software 147, 1-16, 2019 | 18 | 2019 |
| SARDE: a framework for continuous and self-adaptive resource demand estimation J Grohmann, S Eismann, A Bauer, S Spinner, J Blum, N Herbst, S Kounev ACM Transactions on Autonomous and Adaptive Systems (TAAS) 15 (2), 1-31, 2021 | 17 | 2021 |
| Detecting Parametric Dependencies for Performance Models Using Feature Selection Techniques J Grohmann, S Eismann, S Elflein, M Mazkatli, J Kistowski, S Kounev 2019 IEEE 27th International Symposium on Modeling, Analysis, and Simulation …, 2019 | 16 | 2019 |
Samuel KounevProfessor of Software Engineering, University of WürzburgVerified email at uni-wuerzburg.de
