Johannes Grohmann

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 52

Top Topics

Reference Architecture

Failure Prediction

Communication Protocol

Adaptive Systems

Top Venues

Publications

Simon Eismann, Joel Scheuner, Erwin Van Eyk, Maximilian Schwinger, Johannes Grohmann, Nikolas Herbst, Cristina L. Abad, Alexandru Iosup
The State of Serverless Applications: Collection, Characterization, and Community Consensus. IEEE Trans. Software Eng. 48 (10) (2022)
Stefan Herrnleben, Johannes Grohmann, Veronika Lesch, Thomas Prantl, Florian Metzger, Tobias Hoßfeld, Samuel Kounev
Investigating the Predictability of QoS Metrics in Cellular Networks. IWQoS (2022)
Mark Leznik, Johannes Grohmann, Nina Kliche, André Bauer, Daniel Seybold, Simon Eismann, Samuel Kounev, Jörg Domaschka
Same, Same, but Dissimilar: Exploring Measurements for Workload Time-series Similarity. ICPE (2022)
Martin Straesser, Johannes Grohmann, Jóakim von Kistowski, Simon Eismann, André Bauer, Samuel Kounev
Why Is It Not Solved Yet?: Challenges for Production-Ready Autoscaling. ICPE (2022)
Simon Eismann, Long Bui, Johannes Grohmann, Cristina L. Abad, Nikolas Herbst, Samuel Kounev
Sizeless: predicting the optimal size of serverless functions. Middleware (2021)
Simon Eismann, Joel Scheuner, Erwin Van Eyk, Maximilian Schwinger, Johannes Grohmann, Nikolas Herbst, Cristina L. Abad, Alexandru Iosup
Serverless Applications: Why, When, and How? IEEE Softw. 38 (1) (2021)
Marwin Züfle, Joachim Agne, Johannes Grohmann, Ibrahim Dörtoluk, Samuel Kounev
A Predictive Maintenance Methodology: Predicting the Time-to-Failure of Machines in Industry 4.0. INDIN (2021)
Johannes Grohmann, Martin Straesser, Avi Chalbani, Simon Eismann, Yair Arian, Nikolas Herbst, Noam Peretz, Samuel Kounev
SuanMing: Explainable Prediction of Performance Degradations in Microservice Applications. ICPE (2021)
Stefan Herrnleben, Maximilian Leidinger, Veronika Lesch, Thomas Prantl, Johannes Grohmann, Christian Krupitzer, Samuel Kounev
ComBench: A Benchmarking Framework for Publish/Subscribe Communication Protocols Under Network Limitations. VALUETOOLS (2021)
André Bauer, Marwin Züfle, Simon Eismann, Johannes Grohmann, Nikolas Herbst, Samuel Kounev
Libra: A Benchmark for Time Series Forecasting Methods. ICPE (2021)
Jörg Domaschka, Mark Leznik, Daniel Seybold, Simon Eismann, Johannes Grohmann, Samuel Kounev
Buzzy: Towards Realistic DBMS Benchmarking via Tailored, Representative, Synthetic Workloads: Vision Paper. ICPE (Companion) (2021)
Johannes Grohmann, Simon Eismann, André Bauer, Simon Spinner, Johannes Blum, Nikolas Herbst, Samuel Kounev
SARDE: A Framework for Continuous and Self-Adaptive Resource Demand Estimation. ACM Trans. Auton. Adapt. Syst. 15 (2) (2021)
Simon Eismann, Johannes Grohmann, Erwin Van Eyk, Nikolas Herbst, Samuel Kounev
Predicting the Costs of Serverless Workflows. ICPE (2020)
Johannes Grohmann, Daniel Seybold, Simon Eismann, Mark Leznik, Samuel Kounev, Jörg Domaschka
Baloo: Measuring and Modeling the Performance Configurations of Distributed DBMS. MASCOTS (2020)
Sonya Voneva, Manar Mazkatli, Johannes Grohmann, Anne Koziolek
Optimizing Parametric Dependencies for Incremental Performance Model Extraction. ECSA Companion (2020)
André Bauer, Marwin Züfle, Johannes Grohmann, Norbert Schmitt, Nikolas Herbst, Samuel Kounev
An Automated Forecasting Framework based on Method Recommendation for Seasonal Time Series. ICPE (2020)
Manar Mazkatli, David Monschein, Johannes Grohmann, Anne Koziolek
Incremental Calibration of Architectural Performance Models with Parametric Dependencies. ICSA (2020)
Mirko D'Angelo, Sona Ghahremani, Simos Gerasimou, Johannes Grohmann, Ingrid Nunes, Sven Tomforde, Evangelos Pournaras
Learning to Learn in Collective Adaptive Systems: Mining Design Patterns for Data-driven Reasoning. ACSOS Companion (2020)
Simon Eismann, Long Bui, Johannes Grohmann, Cristina L. Abad, Nikolas Herbst, Samuel Kounev
Sizeless: Predicting the optimal size of serverless functions. CoRR (2020)
Simon Eismann, Joel Scheuner, Erwin Van Eyk, Maximilian Schwinger, Johannes Grohmann, Nikolas Herbst, Cristina L. Abad, Alexandru Iosup
A Review of Serverless Use Cases and their Characteristics. CoRR (2020)
Stefan Herrnleben, Piotr Rygielski, Johannes Grohmann, Simon Eismann, Tobias Hoßfeld, Samuel Kounev
Model-Based Performance Predictions for SDN-Based Networks: A Case Study. MMB (2020)
Simon Eismann, Joel Scheuner, Erwin Van Eyk, Maximilian Schwinger, Johannes Grohmann, Cristina L. Abad, Alexandru Iosup
Serverless Applications: Why, When, and How? CoRR (2020)
Manar Mazkatli, David Monschein, Johannes Grohmann, Anne Koziolek
Incremental Calibration of Architectural Performance Models with Parametric Dependencies. CoRR (2020)
Stefan Herrnleben, Rudy Ailabouni, Johannes Grohmann, Thomas Prantl, Christian Krupitzer, Samuel Kounev
An IoT Network Emulator for Analyzing the Influence of Varying Network Quality. SimuTools (2) (2020)
Stefan Herrnleben, Johannes Grohmann, Piotr Rygielski, Veronika Lesch, Christian Krupitzer, Samuel Kounev
A Simulation-Based Optimization Framework for Online Adaptation of Networks. SimuTools (1) (2020)
Marwin Züfle, Christian Krupitzer, Florian Erhard, Johannes Grohmann, Samuel Kounev
To Fail or Not to Fail: Predicting Hard Disk Drive Failure Time Windows. MMB (2020)
Johannes Grohmann, Nikolas Herbst, Avi Chalbani, Yair Arian, Noam Peretz, Samuel Kounev
A Taxonomy of Techniques for SLO Failure Prediction in Software Systems. Comput. 9 (1) (2020)
Mirko D'Angelo, Sona Ghahremani, Simos Gerasimou, Johannes Grohmann, Ingrid Nunes, Sven Tomforde, Evangelos Pournaras
Learning to Learn in Collective Adaptive Systems: Mining Design Patterns for Data-driven Reasoning. CoRR (2020)
Simon Eismann, Johannes Grohmann, Jürgen Walter, Jóakim von Kistowski, Samuel Kounev
Integrating Statistical Response Time Models in Architectural Performance Models. ICSA (2019)
André Bauer, Simon Eismann, Johannes Grohmann, Nikolas Herbst, Samuel Kounev
Systematic Search for Optimal Resource Configurations of Distributed Applications. FAS*W@SASO/ICAC (2019)
Simon Spinner, Johannes Grohmann, Simon Eismann, Samuel Kounev
Online model learning for self-aware computing infrastructures. J. Syst. Softw. 147 (2019)
Johannes Grohmann, Simon Eismann, Sven Elflein, Jóakim von Kistowski, Samuel Kounev, Manar Mazkatli
Detecting Parametric Dependencies for Performance Models Using Feature Selection Techniques. MASCOTS (2019)
Mirko D'Angelo, Simos Gerasimou, Sona Ghahremani, Johannes Grohmann, Ingrid Nunes, Evangelos Pournaras, Sven Tomforde
On learning in collective self-adaptive systems: state of practice and a 3D framework. SEAMS@ICSE (2019)
Johannes Grohmann, Patrick K. Nicholson, Jesus Omana Iglesias, Samuel Kounev, Diego Lugones
Monitorless: Predicting Performance Degradation in Cloud Applications with Machine Learning. Middleware (2019)
Simon Eismann, Jóakim von Kistowski, Johannes Grohmann, André Bauer, Norbert Schmitt, Samuel Kounev
TeaStore - A Micro-Service Reference Application. FAS*W@SASO/ICAC (2019)
Jóakim von Kistowski, Johannes Grohmann, Norbert Schmitt, Samuel Kounev
Predicting Server Power Consumption from Standard Rating Results. ICPE (2019)
Cor-Paul Bezemer, Simon Eismann, Vincenzo Ferme, Johannes Grohmann, Robert Heinrich, Pooyan Jamshidi, Weiyi Shang, André van Hoorn, Mónica Villavicencio, Jürgen Walter, Felix Willnecker
How is Performance Addressed in DevOps? ICPE (2019)
Johannes Grohmann, Simon Eismann, André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev
Utilizing Clustering to Optimize Resource Demand Estimation Approaches. FAS*W@SASO/ICAC (2019)
Jóakim von Kistowski, Simon Eismann, Johannes Grohmann, Norbert Schmitt, André Bauer, Samuel Kounev
TeaStore - A Micro-Service Reference Application for Performance Engineers. ICPE Companion (2019)
Jóakim von Kistowski, Simon Eismann, Norbert Schmitt, André Bauer, Johannes Grohmann, Samuel Kounev
TeaStore: A Micro-Service Reference Application for Benchmarking, Modeling and Resource Management Research. SE/SWM (2019)
Johannes Grohmann, Simon Eismann, Samuel Kounev
On Learning Parametric Dependencies from Monitoring Data. Softwaretechnik-Trends 39 (4) (2019)
Erwin Van Eyk, Alexandru Iosup, Johannes Grohmann, Simon Eismann, André Bauer, Laurens Versluis, Lucian Toader, Norbert Schmitt, Nikolas Herbst, Cristina L. Abad
The SPEC-RG Reference Architecture for FaaS: From Microservices and Containers to Serverless Platforms. IEEE Internet Comput. 23 (6) (2019)
Simon Eismann, Jóakim von Kistowski, Johannes Grohmann, André Bauer, Norbert Schmitt, Nikolas Herbst, Samuel Kounev
TeaStore: A Micro-Service Reference Application for Cloud Researchers. UCC Companion (2018)
Vanessa Ackermann, Johannes Grohmann, Simon Eismann, Samuel Kounev
Blackbox Learning of Parametric Dependencies for Performance Models. MoDELS (Workshops) (2018)
Jürgen Walter, Simon Eismann, Johannes Grohmann, Dusan Okanovic, Samuel Kounev
Tools for Declarative Performance Engineering. ICPE Companion (2018)
André Bauer, Johannes Grohmann, Nikolas Herbst, Samuel Kounev
On the Value of Service Demand Estimation for Auto-scaling. MMB (2018)
Erwin Van Eyk, Alexandru Iosup, Cristina L. Abad, Johannes Grohmann, Simon Eismann
A SPEC RG Cloud Group's Vision on the Performance Challenges of FaaS Cloud Architectures. ICPE Companion (2018)
Cor-Paul Bezemer, Simon Eismann, Vincenzo Ferme, Johannes Grohmann, Robert Heinrich, Pooyan Jamshidi, Weiyi Shang, André van Hoorn, Mónica Villavicencio, Jürgen Walter, Felix Willnecker
How is Performance Addressed in DevOps? A Survey on Industrial Practices. CoRR (2018)
Johannes Grohmann, Nikolas Herbst, Simon Spinner, Samuel Kounev
Using Machine Learning for Recommending Service Demand Estimation Approaches - Position Paper. CLOSER (2018)
Johannes Grohmann, Simon Eismann, Samuel Kounev
The Vision of Self-Aware Performance Models. ICSA Companion (2018)
Jóakim von Kistowski, Simon Eismann, Norbert Schmitt, André Bauer, Johannes Grohmann, Samuel Kounev
TeaStore: A Micro-Service Reference Application for Benchmarking, Modeling and Resource Management Research. MASCOTS (2018)
Johannes Grohmann, Nikolas Herbst, Simon Spinner, Samuel Kounev
Self-Tuning Resource Demand Estimation. ICAC (2017)