Johannes Grohmann
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
10
Active years
2018–2022
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | IWQoS | Investigating the Predictability of QoS Metrics in Cellular Networks. | Stefan Herrnleben, Johannes Grohmann, Veronika Lesch, Thomas Prantl, Florian Metzger, Tobias Hofeld, Samuel Kounev |
| 2021 | INDIN | A Predictive Maintenance Methodology: Predicting the Time-to-Failure of Machines in Industry 4.0. | Marwin Zfle, Joachim Agne, Johannes Grohmann, Ibrahim Drtoluk, Samuel Kounev |
| 2021 | Middleware | Sizeless: predicting the optimal size of serverless functions. | Simon Eismann, Long Bui, Johannes Grohmann, Cristina L. Abad, Nikolas Herbst, Samuel Kounev |
| 2020 | ECSA | Optimizing Parametric Dependencies for Incremental Performance Model Extraction. | Sonya Voneva, Manar Mazkatli, Johannes Grohmann, Anne Koziolek |
| 2020 | ICSA | Incremental Calibration of Architectural Performance Models with Parametric Dependencies. | Manar Mazkatli, David Monschein, Johannes Grohmann, Anne Koziolek |
| 2020 | MASCOTS | Baloo: Measuring and Modeling the Performance Configurations of Distributed DBMS. | Johannes Grohmann, Daniel Seybold, Simon Eismann, Mark Leznik, Samuel Kounev, Jrg Domaschka |
| 2019 | ICSA | Integrating Statistical Response Time Models in Architectural Performance Models. | Simon Eismann, Johannes Grohmann, Jrgen Walter, Jakim von Kistowski, Samuel Kounev |
| 2019 | ICSE | On learning in collective self-adaptive systems: state of practice and a 3D framework. | Mirko D'Angelo, Simos Gerasimou, Sona Ghahremani, Johannes Grohmann, Ingrid Nunes, Evangelos Pournaras, Sven Tomforde |
| 2019 | MASCOTS | Detecting Parametric Dependencies for Performance Models Using Feature Selection Techniques. | Johannes Grohmann, Simon Eismann, Sven Elflein, Jakim von Kistowski, Samuel Kounev, Manar Mazkatli |
| 2019 | Middleware | Monitorless: Predicting Performance Degradation in Cloud Applications with Machine Learning. | Johannes Grohmann, Patrick K. Nicholson, Jesus Omaa Iglesias, Samuel Kounev, Diego Lugones |
| 2018 | CLOSER | Using Machine Learning for Recommending Service Demand Estimation Approaches - Position Paper. | Johannes Grohmann, Nikolas Herbst, Simon Spinner, Samuel Kounev |
| 2018 | ICSA | The Vision of Self-Aware Performance Models. | Johannes Grohmann, Simon Eismann, Samuel Kounev |
| 2018 | MASCOTS | TeaStore: A Micro-Service Reference Application for Benchmarking, Modeling and Resource Management Research. | Jakim von Kistowski, Simon Eismann, Norbert Schmitt, Andr Bauer, Johannes Grohmann, Samuel Kounev |
| 2018 | MODELS | Blackbox Learning of Parametric Dependencies for Performance Models. | Vanessa Ackermann, Johannes Grohmann, Simon Eismann, Samuel Kounev |
| 2018 | UCC | TeaStore: A Micro-Service Reference Application for Cloud Researchers. | Simon Eismann, Jakim von Kistowski, Johannes Grohmann, Andr Bauer, Norbert Schmitt, Nikolas Herbst, Samuel Kounev |