Johannes Grohmann

According to our database1, Johannes Grohmann authored at least 49 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Model Learning for Performance Prediction of Cloud-native Microservice Applications.
PhD thesis, 2022

The State of Serverless Applications: Collection, Characterization, and Community Consensus.
IEEE Trans. Software Eng., 2022

Why Is It Not Solved Yet?: Challenges for Production-Ready Autoscaling.
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.
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.
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.
ACM Trans. Auton. Adapt. Syst., 2021

Serverless Applications: Why, When, and How?
IEEE Softw., 2021

SuanMing: Explainable Prediction of Performance Degradations in Microservice Applications.
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.
Proceedings of the ICPE '21: ACM/SPEC International Conference on Performance Engineering, 2021

Libra: A Benchmark for Time Series Forecasting Methods.
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.
Proceedings of the Performance Evaluation Methodologies and Tools, 2021

Sizeless: predicting the optimal size of serverless functions.
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.
Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021

2020
Serverless Applications: Why, When, and How?
CoRR, 2020

A Review of Serverless Use Cases and their Characteristics.
CoRR, 2020

A Taxonomy of Techniques for SLO Failure Prediction in Software Systems.
Comput., 2020

Predicting the Costs of Serverless Workflows.
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.
Proceedings of the ICPE '20: ACM/SPEC International Conference on Performance Engineering, 2020

A Simulation-Based Optimization Framework for Online Adaptation of Networks.
Proceedings of the Simulation Tools and Techniques - 12th EAI International Conference, 2020

An IoT Network Emulator for Analyzing the Influence of Varying Network Quality.
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.
Proceedings of the Measurement, Modelling and Evaluation of Computing Systems, 2020

Model-Based Performance Predictions for SDN-Based Networks: A Case Study.
Proceedings of the Measurement, Modelling and Evaluation of Computing Systems, 2020

Baloo: Measuring and Modeling the Performance Configurations of Distributed DBMS.
Proceedings of the 28th International Symposium on Modeling, 2020

Incremental Calibration of Architectural Performance Models with Parametric Dependencies.
Proceedings of the 2020 IEEE International Conference on Software Architecture, 2020

Optimizing Parametric Dependencies for Incremental Performance Model Extraction.
Proceedings of the Software Architecture - 14th European Conference, 2020

Learning to Learn in Collective Adaptive Systems: Mining Design Patterns for Data-driven Reasoning.
Proceedings of the 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2020

2019
On Learning Parametric Dependencies from Monitoring Data.
Softwaretechnik-Trends, 2019

Online model learning for self-aware computing infrastructures.
J. Syst. Softw., 2019

The SPEC-RG Reference Architecture for FaaS: From Microservices and Containers to Serverless Platforms.
IEEE Internet Comput., 2019

Predicting Server Power Consumption from Standard Rating Results.
Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering, 2019

TeaStore - A Micro-Service Reference Application for Performance Engineers.
Proceedings of the Companion of the 2019 ACM/SPEC International Conference on Performance Engineering, 2019

How is Performance Addressed in DevOps?
Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering, 2019

Utilizing Clustering to Optimize Resource Demand Estimation Approaches.
Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems, 2019

TeaStore - A Micro-Service Reference Application.
Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems, 2019

Systematic Search for Optimal Resource Configurations of Distributed Applications.
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.
Proceedings of the 20th International Middleware Conference, 2019

Detecting Parametric Dependencies for Performance Models Using Feature Selection Techniques.
Proceedings of the 27th IEEE International Symposium on Modeling, 2019

On learning in collective self-adaptive systems: state of practice and a 3D framework.
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.
Proceedings of the IEEE International Conference on Software Architecture, 2019

2018
How is Performance Addressed in DevOps? A Survey on Industrial Practices.
CoRR, 2018

Tools for Declarative Performance Engineering.
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.
Proceedings of the Companion of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018

TeaStore: A Micro-Service Reference Application for Cloud Researchers.
Proceedings of the 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion, 2018

Blackbox Learning of Parametric Dependencies for Performance Models.
Proceedings of MODELS 2018 Workshops: ModComp, 2018

On the Value of Service Demand Estimation for Auto-scaling.
Proceedings of the Measurement, Modelling and Evaluation of Computing Systems, 2018

TeaStore: A Micro-Service Reference Application for Benchmarking, Modeling and Resource Management Research.
Proceedings of the 26th IEEE International Symposium on Modeling, 2018

The Vision of Self-Aware Performance Models.
Proceedings of the 2018 IEEE International Conference on Software Architecture Companion, 2018

Using Machine Learning for Recommending Service Demand Estimation Approaches - Position Paper.
Proceedings of the 8th International Conference on Cloud Computing and Services Science, 2018

2017
Self-Tuning Resource Demand Estimation.
Proceedings of the 2017 IEEE International Conference on Autonomic Computing, 2017


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