Simon Eismann

Orcid: 0000-0003-1224-4945

According to our database1, Simon Eismann authored at least 45 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Early Detection of Performance Regressions by Bridging Local Performance Data and Architectural Models.
CoRR, 2024

2023
Performance Engineering of Serverless Applications and Platforms.
PhD thesis, 2023

Autoscaler Evaluation and Configuration: A Practitioner's Guideline.
Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

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

A case study on the stability of performance tests for serverless applications.
J. Syst. Softw., 2022

A fine-grained data set and analysis of tangling in bug fixing commits.
Empir. Softw. Eng., 2022

Let's Trace It: Fine-Grained Serverless Benchmarking using Synchronous and Asynchronous Orchestrated Applications.
CoRR, 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

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

Sizeless: predicting the optimal size of serverless functions.
Proceedings of the Middleware '21: 22nd International Middleware Conference, Québec City, Canada, December 6, 2021

2020
Large-Scale Manual Validation of Bug Fixing Commits: A Fine-grained Analysis of Tangling.
CoRR, 2020

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

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

Beyond Microbenchmarks: The SPEC-RG Vision for a Comprehensive Serverless Benchmark.
Proceedings of the Companion of the 2020 ACM/SPEC International Conference on Performance Engineering, 2020

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

Microservices: A Performance Tester's Dream or Nightmare?
Proceedings of the ICPE '20: ACM/SPEC International Conference on Performance Engineering, 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

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

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

TeaStore: A Micro-Service Reference Application for Benchmarking, Modeling and Resource Management Research.
Proceedings of the Software Engineering and Software Management, 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

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

The Vision of Self-aware Reordering of Security Network Function Chains.
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

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

Modeling of Parametric Dependencies for Performance Prediction of Component-Based Software Systems at Run-Time.
Proceedings of the IEEE International Conference on Software Architecture, 2018

2017
Providing Model-Extraction-as-a-Service for Architectural Performance Models.
Softwaretechnik-Trends, 2017

2016
PAVO: A Framework for the Visualization of Performance Analyses Results.
Softwaretechnik-Trends, 2016

2015
Automated Transformation of Descartes Modeling Language to Palladio Component Model.
Softwaretechnik-Trends, 2015


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