Publications - Chair of Computer Science II

PARAGRAPH: Phase-Aware Resource Demand Profiling for HPDA/HPC Jobs. Rohwer, Ivo; Herbst, Nikolas; Schwinger, Maximilian; Friedl, Peter; Stephan, Michael; Kounev, Samuel; in Proceedings of the 16th ACM/SPEC International Conference on Performance Engineering (2025). 3–10.

[ BibTeX ]
[ EndNote ]

@inproceedings{rohwer2025paragraph,
  author = {Rohwer, Ivo and Herbst, Nikolas and Schwinger, Maximilian and Friedl, Peter and Stephan, Michael and Kounev, Samuel},
  booktitle = {Proceedings of the 16th ACM/SPEC International Conference on Performance Engineering},
  keywords = {descartes},
  pages = {3–10},
  title = {PARAGRAPH: Phase-Aware Resource Demand Profiling for HPDA/HPC Jobs},
  year = 2025
}

%0 Conference Paper
%1 rohwer2025paragraph
%A Rohwer, Ivo
%A Herbst, Nikolas
%A Schwinger, Maximilian
%A Friedl, Peter
%A Stephan, Michael
%A Kounev, Samuel
%B Proceedings of the 16th ACM/SPEC International Conference on Performance Engineering
%D 2025
%P 3--10
%T PARAGRAPH: Phase-Aware Resource Demand Profiling for HPDA/HPC Jobs

Microservice Applications and Their Workloads on GitHub. Lubas, Yannik; Straesser, Martin; Rohwer, Ivo; Kounev, Samuel; Bauer, André; in Companion of the 16th ACM/SPEC International Conference on Performance Engineering (2025). 199–205.

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Many cloud applications employ a microservice architecture to reap its various benefits, such as independent scalability and development. However, microservices' distributed nature comes with its own challenges, which the literature tries to combat with various approaches in domains, such as autoscaling or service placement. Researchers, especially performance engineers, need representative microservice applications as a basis to develop and evaluate their approaches. While the literature proposes several reference and benchmark applications, the set of commonly used applications is rather limited. Further, the representativeness of reference applications for industry practices has been challenged, raising questions about the applicability of existing approaches. To investigate possible alternatives to and inspirations for microservice testbeds, we conduct an exploratory search of microservice applications and their workloads by mining GitHub repositories. Our work provides two datasets containing 553 applications and 8 workload dataset repositories, respectively. In addition, we provide a first analysis of the collected data that future work can build upon.

@inproceedings{10.1145/3680256.3721321,
  abstract = {Many cloud applications employ a microservice architecture to reap its various benefits, such as independent scalability and development. However, microservices' distributed nature comes with its own challenges, which the literature tries to combat with various approaches in domains, such as autoscaling or service placement. Researchers, especially performance engineers, need representative microservice applications as a basis to develop and evaluate their approaches. While the literature proposes several reference and benchmark applications, the set of commonly used applications is rather limited. Further, the representativeness of reference applications for industry practices has been challenged, raising questions about the applicability of existing approaches. To investigate possible alternatives to and inspirations for microservice testbeds, we conduct an exploratory search of microservice applications and their workloads by mining GitHub repositories. Our work provides two datasets containing 553 applications and 8 workload dataset repositories, respectively. In addition, we provide a first analysis of the collected data that future work can build upon.},
  address = {New York, NY, USA},
  author = {Lubas, Yannik and Straesser, Martin and Rohwer, Ivo and Kounev, Samuel and Bauer, Andr\'{e}},
  booktitle = {Companion of the 16th ACM/SPEC International Conference on Performance Engineering},
  keywords = {t_workshop},
  pages = {199–205},
  publisher = {Association for Computing Machinery},
  series = {ICPE '25},
  title = {Microservice Applications and Their Workloads on GitHub},
  year = 2025
}

%0 Conference Paper
%1 10.1145/3680256.3721321
%A Lubas, Yannik
%A Straesser, Martin
%A Rohwer, Ivo
%A Kounev, Samuel
%A Bauer, André
%B Companion of the 16th ACM/SPEC International Conference on Performance Engineering
%C New York, NY, USA
%D 2025
%I Association for Computing Machinery
%P 199–205
%R 10.1145/3680256.3721321
%T Microservice Applications and Their Workloads on GitHub
%U https://doi.org/10.1145/3680256.3721321
%X Many cloud applications employ a microservice architecture to reap its various benefits, such as independent scalability and development. However, microservices' distributed nature comes with its own challenges, which the literature tries to combat with various approaches in domains, such as autoscaling or service placement. Researchers, especially performance engineers, need representative microservice applications as a basis to develop and evaluate their approaches. While the literature proposes several reference and benchmark applications, the set of commonly used applications is rather limited. Further, the representativeness of reference applications for industry practices has been challenged, raising questions about the applicability of existing approaches. To investigate possible alternatives to and inspirations for microservice testbeds, we conduct an exploratory search of microservice applications and their workloads by mining GitHub repositories. Our work provides two datasets containing 553 applications and 8 workload dataset repositories, respectively. In addition, we provide a first analysis of the collected data that future work can build upon.
%@ 9798400711305

Towards an Empirical Study on Transient Phases of Microservice Applications Rohwer, Ivo; Straesser, Martin; Lubas, Yannik; Kounev, Samuel; (2024).

[ BibTeX ]
[ EndNote ]

@presentation{rohwer2024transient,
  author = {Rohwer, Ivo and Straesser, Martin and Lubas, Yannik and Kounev, Samuel},
  keywords = {microservice},
  title = {Towards an Empirical Study on Transient Phases of Microservice Applications},
  year = 2024
}

%0 Generic
%1 rohwer2024transient
%A Rohwer, Ivo
%A Straesser, Martin
%A Lubas, Yannik
%A Kounev, Samuel
%D 2024
%T Towards an Empirical Study on Transient Phases of Microservice Applications

Resource Demand Profiling of Monolithic Workflows. Rohwer, Ivo; Schwinger, Maximilian; Herbst, Nikolas; Friedl, Peter; Stephan, Michael; Kounev, Samuel; in Companion of the 15th ACM/SPEC International Conference on Performance Engineering (2024). 222–225.

[ BibTeX ]
[ EndNote ]

@inproceedings{rohwer2024resource,
  author = {Rohwer, Ivo and Schwinger, Maximilian and Herbst, Nikolas and Friedl, Peter and Stephan, Michael and Kounev, Samuel},
  booktitle = {Companion of the 15th ACM/SPEC International Conference on Performance Engineering},
  keywords = {t_workshop},
  pages = {222–225},
  title = {Resource Demand Profiling of Monolithic Workflows},
  year = 2024
}

%0 Conference Paper
%1 rohwer2024resource
%A Rohwer, Ivo
%A Schwinger, Maximilian
%A Herbst, Nikolas
%A Friedl, Peter
%A Stephan, Michael
%A Kounev, Samuel
%B Companion of the 15th ACM/SPEC International Conference on Performance Engineering
%D 2024
%P 222--225
%T Resource Demand Profiling of Monolithic Workflows

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