Johannes Grohmann

According to our database, Johannes Grohmann authored at least 49 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Model Learning for Performance Prediction of Cloud-native Microservice Applications.

Johannes Grohmann

PhD thesis, 2022

The State of Serverless Applications: Collection, Characterization, and Community Consensus.

Simon Eismann, Joel Scheuner, Erwin Van Eyk, Maximilian Schwinger, Johannes Grohmann, Nikolas Herbst, Cristina L. Abad, Alexandru Iosup

IEEE Trans. Software Eng., 2022

Why Is It Not Solved Yet?: Challenges for Production-Ready Autoscaling.

Martin Straesser, Johannes Grohmann, Jóakim von Kistowski, Simon Eismann, André Bauer, Samuel Kounev

Proceedings of the ICPE '22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9, 2022

Same, Same, but Dissimilar: Exploring Measurements for Workload Time-series Similarity.

Mark Leznik, Johannes Grohmann, Nina Kliche, André Bauer, Daniel Seybold, Simon Eismann, Samuel Kounev, Jörg Domaschka

Proceedings of the ICPE '22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9, 2022

Investigating the Predictability of QoS Metrics in Cellular Networks.

Stefan Herrnleben, Johannes Grohmann, Veronika Lesch, Thomas Prantl, Florian Metzger, Tobias Hoßfeld, Samuel Kounev

Proceedings of the 30th IEEE/ACM International Symposium on Quality of Service, 2022

2021

SARDE: A Framework for Continuous and Self-Adaptive Resource Demand Estimation.

Johannes Grohmann, Simon Eismann, André Bauer, Simon Spinner, Johannes Blum, Nikolas Herbst, Samuel Kounev

ACM Trans. Auton. Adapt. Syst., 2021

Serverless Applications: Why, When, and How?

Simon Eismann, Joel Scheuner, Erwin Van Eyk, Maximilian Schwinger, Johannes Grohmann, Nikolas Herbst, Cristina L. Abad, Alexandru Iosup

IEEE Softw., 2021

SuanMing: Explainable Prediction of Performance Degradations in Microservice Applications.

Johannes Grohmann, Martin Straesser, Avi Chalbani, Simon Eismann, Yair Arian, Nikolas Herbst, Noam Peretz, Samuel Kounev

Proceedings of the ICPE '21: ACM/SPEC International Conference on Performance Engineering, 2021

Buzzy: Towards Realistic DBMS Benchmarking via Tailored, Representative, Synthetic Workloads: Vision Paper.

Jörg Domaschka, Mark Leznik, Daniel Seybold, Simon Eismann, Johannes Grohmann, Samuel Kounev

Proceedings of the ICPE '21: ACM/SPEC International Conference on Performance Engineering, 2021

Libra: A Benchmark for Time Series Forecasting Methods.

André Bauer, Marwin Züfle, Simon Eismann, Johannes Grohmann, Nikolas Herbst, Samuel Kounev

Proceedings of the ICPE '21: ACM/SPEC International Conference on Performance Engineering, 2021

ComBench: A Benchmarking Framework for Publish/Subscribe Communication Protocols Under Network Limitations.

Stefan Herrnleben, Maximilian Leidinger, Veronika Lesch, Thomas Prantl, Johannes Grohmann, Christian Krupitzer, Samuel Kounev

Proceedings of the Performance Evaluation Methodologies and Tools, 2021

Sizeless: predicting the optimal size of serverless functions.

Simon Eismann, Long Bui, Johannes Grohmann, Cristina L. Abad, Nikolas Herbst, Samuel Kounev

Proceedings of the Middleware '21: 22nd International Middleware Conference, Québec City, Canada, December 6, 2021

A Predictive Maintenance Methodology: Predicting the Time-to-Failure of Machines in Industry 4.0.

Marwin Züfle, Joachim Agne, Johannes Grohmann, Ibrahim Dörtoluk, Samuel Kounev

Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021

2020

Serverless Applications: Why, When, and How?

Simon Eismann, Joel Scheuner, Erwin Van Eyk, Maximilian Schwinger, Johannes Grohmann, Cristina L. Abad, Alexandru Iosup

CoRR, 2020

A Review of Serverless Use Cases and their Characteristics.

Simon Eismann, Joel Scheuner, Erwin Van Eyk, Maximilian Schwinger, Johannes Grohmann, Nikolas Herbst, Cristina L. Abad, Alexandru Iosup

CoRR, 2020

A Taxonomy of Techniques for SLO Failure Prediction in Software Systems.

Johannes Grohmann, Nikolas Herbst, Avi Chalbani, Yair Arian, Noam Peretz, Samuel Kounev

Comput., 2020

Predicting the Costs of Serverless Workflows.

Simon Eismann, Johannes Grohmann, Erwin Van Eyk, Nikolas Herbst, Samuel Kounev

Proceedings of the ICPE '20: ACM/SPEC International Conference on Performance Engineering, 2020

An Automated Forecasting Framework based on Method Recommendation for Seasonal Time Series.

André Bauer, Marwin Züfle, Johannes Grohmann, Norbert Schmitt, Nikolas Herbst, Samuel Kounev

Proceedings of the ICPE '20: ACM/SPEC International Conference on Performance Engineering, 2020

A Simulation-Based Optimization Framework for Online Adaptation of Networks.

Stefan Herrnleben, Johannes Grohmann, Piotr Rygielski, Veronika Lesch, Christian Krupitzer, Samuel Kounev

Proceedings of the Simulation Tools and Techniques - 12th EAI International Conference, 2020

An IoT Network Emulator for Analyzing the Influence of Varying Network Quality.

Stefan Herrnleben, Rudy Ailabouni, Johannes Grohmann, Thomas Prantl, Christian Krupitzer, Samuel Kounev

Proceedings of the Simulation Tools and Techniques - 12th EAI International Conference, 2020

To Fail or Not to Fail: Predicting Hard Disk Drive Failure Time Windows.

Marwin Züfle, Christian Krupitzer, Florian Erhard, Johannes Grohmann, Samuel Kounev

Proceedings of the Measurement, Modelling and Evaluation of Computing Systems, 2020

Model-Based Performance Predictions for SDN-Based Networks: A Case Study.

Stefan Herrnleben, Piotr Rygielski, Johannes Grohmann, Simon Eismann, Tobias Hoßfeld, Samuel Kounev

Proceedings of the Measurement, Modelling and Evaluation of Computing Systems, 2020

Baloo: Measuring and Modeling the Performance Configurations of Distributed DBMS.

Johannes Grohmann, Daniel Seybold, Simon Eismann, Mark Leznik, Samuel Kounev, Jörg Domaschka

Proceedings of the 28th International Symposium on Modeling, 2020

Incremental Calibration of Architectural Performance Models with Parametric Dependencies.

Manar Mazkatli, David Monschein, Johannes Grohmann, Anne Koziolek

Proceedings of the 2020 IEEE International Conference on Software Architecture, 2020

Optimizing Parametric Dependencies for Incremental Performance Model Extraction.

Sonya Voneva, Manar Mazkatli, Johannes Grohmann, Anne Koziolek

Proceedings of the Software Architecture - 14th European Conference, 2020

Learning to Learn in Collective Adaptive Systems: Mining Design Patterns for Data-driven Reasoning.

Mirko D'Angelo, Sona Ghahremani, Simos Gerasimou, Johannes Grohmann, Ingrid Nunes, Sven Tomforde, Evangelos Pournaras

Proceedings of the 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2020

2019

On Learning Parametric Dependencies from Monitoring Data.

Johannes Grohmann, Simon Eismann, Samuel Kounev

Softwaretechnik-Trends, 2019

Online model learning for self-aware computing infrastructures.

Simon Spinner, Johannes Grohmann, Simon Eismann, Samuel Kounev

J. Syst. Softw., 2019

The SPEC-RG Reference Architecture for FaaS: From Microservices and Containers to Serverless Platforms.

Erwin Van Eyk, Alexandru Iosup, Johannes Grohmann, Simon Eismann, André Bauer, Laurens Versluis, Lucian Toader, Norbert Schmitt, Nikolas Herbst, Cristina L. Abad

IEEE Internet Comput., 2019

Predicting Server Power Consumption from Standard Rating Results.

Jóakim von Kistowski, Johannes Grohmann, Norbert Schmitt, Samuel Kounev

Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering, 2019

TeaStore - A Micro-Service Reference Application for Performance Engineers.

Jóakim von Kistowski, Simon Eismann, Johannes Grohmann, Norbert Schmitt, André Bauer, Samuel Kounev

Proceedings of the Companion of the 2019 ACM/SPEC International Conference on Performance Engineering, 2019

How is Performance Addressed in DevOps?

Cor-Paul Bezemer, Simon Eismann, Vincenzo Ferme, Johannes Grohmann, Robert Heinrich, Pooyan Jamshidi, Weiyi Shang, André van Hoorn, Mónica Villavicencio, Jürgen Walter, Felix Willnecker

Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering, 2019

TeaStore: A Micro-Service Reference Application for Benchmarking, Modeling and Resource Management Research.

Jóakim von Kistowski, Simon Eismann, Norbert Schmitt, André Bauer, Johannes Grohmann, Samuel Kounev

Proceedings of the Software Engineering and Software Management, 2019

Utilizing Clustering to Optimize Resource Demand Estimation Approaches.

Johannes Grohmann, Simon Eismann, André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev

Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems, 2019

TeaStore - A Micro-Service Reference Application.

Simon Eismann, Jóakim von Kistowski, Johannes Grohmann, André Bauer, Norbert Schmitt, Samuel Kounev

Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems, 2019

Systematic Search for Optimal Resource Configurations of Distributed Applications.

André Bauer, Simon Eismann, Johannes Grohmann, Nikolas Herbst, Samuel Kounev

Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems, 2019

Monitorless: Predicting Performance Degradation in Cloud Applications with Machine Learning.

Johannes Grohmann, Patrick K. Nicholson, Jesús Omana Iglesias, Samuel Kounev, Diego Lugones

Proceedings of the 20th International Middleware Conference, 2019

Detecting Parametric Dependencies for Performance Models Using Feature Selection Techniques.

Johannes Grohmann, Simon Eismann, Sven Elflein, Jóakim von Kistowski, Samuel Kounev, Manar Mazkatli

Proceedings of the 27th IEEE International Symposium on Modeling, 2019

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

Proceedings of the 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2019

Integrating Statistical Response Time Models in Architectural Performance Models.

Simon Eismann, Johannes Grohmann, Jürgen Walter, Jóakim von Kistowski, Samuel Kounev

Proceedings of the IEEE International Conference on Software Architecture, 2019

2018

How is Performance Addressed in DevOps? A Survey on Industrial Practices.

Cor-Paul Bezemer, Simon Eismann, Vincenzo Ferme, Johannes Grohmann, Robert Heinrich, Pooyan Jamshidi, Weiyi Shang, André van Hoorn, Mónica Villavicencio, Jürgen Walter, Felix Willnecker

CoRR, 2018

Tools for Declarative Performance Engineering.

Jürgen Walter, Simon Eismann, Johannes Grohmann, Dusan Okanovic, Samuel Kounev

Proceedings of the Companion of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018

A SPEC RG Cloud Group's Vision on the Performance Challenges of FaaS Cloud Architectures.

Erwin Van Eyk, Alexandru Iosup, Cristina L. Abad, Johannes Grohmann, Simon Eismann

Proceedings of the Companion of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018

TeaStore: A Micro-Service Reference Application for Cloud Researchers.

Simon Eismann, Jóakim von Kistowski, Johannes Grohmann, André Bauer, Norbert Schmitt, Nikolas Herbst, Samuel Kounev

Proceedings of the 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion, 2018

Blackbox Learning of Parametric Dependencies for Performance Models.

Vanessa Ackermann, Johannes Grohmann, Simon Eismann, Samuel Kounev

Proceedings of MODELS 2018 Workshops: ModComp, 2018

On the Value of Service Demand Estimation for Auto-scaling.

André Bauer, Johannes Grohmann, Nikolas Herbst, Samuel Kounev

Proceedings of the Measurement, Modelling and Evaluation of Computing Systems, 2018

The Vision of Self-Aware Performance Models.

Johannes Grohmann, Simon Eismann, Samuel Kounev

Proceedings of the 2018 IEEE International Conference on Software Architecture Companion, 2018

Using Machine Learning for Recommending Service Demand Estimation Approaches - Position Paper.

Johannes Grohmann, Nikolas Herbst, Simon Spinner, Samuel Kounev

Proceedings of the 8th International Conference on Cloud Computing and Services Science, 2018

2017

Self-Tuning Resource Demand Estimation.

Johannes Grohmann, Nikolas Herbst, Simon Spinner, Samuel Kounev

Proceedings of the 2017 IEEE International Conference on Autonomic Computing, 2017