piwik-script

Intern
Chair of Computer Science II - Software Engineering

Publications

Journal and Magazine Articles

  • SARDE: A Framework for Co... - Download
    SARDE: A Framework for Continuous and Self-Adaptive Resource Demand Estimation. Grohmann, Johannes; Eismann, Simon; Bauer, André; Spinner, Simon; Blum, Johannes; Herbst, Nikolas; Kounev, Samuel; in ACM Transactions on Autonomous and Adaptive Systems (2021). 15(2) Association for Computing Machinery, New York, NY, USA.
     
  • Serverless Applications:W... - Download
    Serverless Applications:Why, When, and How?. Eismann, Simon; Joel, Scheuner; van Eyk, Erwin; Schwinger, Maximilian; Grohmann, Johannes; Herbst, Nikolas; Abad, Cristina; Iosup, Alexandru; in IEEE Software (2021). 38(1) 32–39.
     
  • A Taxonomy of Techniques ... - Download
    A Taxonomy of Techniques for SLO Failure Prediction in Software Systems. Grohmann, Johannes; Herbst, Nikolas; Chalbani, Avi; Arian, Yair; Peretz, Noam; Kounev, Samuel; in Computers (2020). 9(1) 10. Multidisciplinary Digital Publishing Institute (MDPI).
     
  • The SPEC-RG Reference Arc... - Download
    The SPEC-RG Reference Architecture for FaaS: From Microservices and Containers to Serverless Platforms. van Eyk, Erwin; Grohmann, Johannes; Eismann, Simon; Bauer, André; Versluis, Laurens; Toader, Lucian; Schmitt, Norbert; Herbst, Nikolas; Abad, Cristina L.; Iosup, Alexandru; in IEEE Internet Computing (2019). 23(6) 7–18. IEEE.
     
  • Online model learning for... - Download
    Online model learning for self-aware computing infrastructures. Spinner, Simon; Grohmann, Johannes; Eismann, Simon; Kounev, Samuel; in Journal of Systems and Software (2019). 147 1–16.
     

Full Conference Papers

  • SuanMing: Explainable Pre... - Download
    SuanMing: Explainable Prediction of Performance Degradations in Microservice Applications. Grohmann, Johannes; Straesser, Martin; Chalbani, Avi; Eismann, Simon; Arian, Yair; Herbst, Nikolas; Peretz, Noam; Kounev, Samuel; in Proceedings of the 12th ACM/SPEC International Conference on Performance Engineering (ICPE) (2021). ACM, New York, NY, USA.
    Acceptance Rate: 29%
     
  • Libra: A Benchmark for Ti... - Download
    Libra: A Benchmark for Time Series Forecasting Methods. Bauer, André; Züfle, Marwin; Eismann, Simon; Grohmann, Johannes; Herbst, Nikolas; Kounev, Samuel; in Proceedings of the 12th ACM/SPEC International Conference on Performance Engineering (ICPE) (2021). ACM, New York, NY, USA.
     
  • A Simulation-based Optimi... - Download
    A Simulation-based Optimization Framework for Online Adaptation of Networks. Herrnleben, Stefan; Grohmann, Johannes; Rygielski, Pitor; Lesch, Veronika; Krupitzer, Christian; Kounev, Samuel; in Proceedings of the 12th EAI International Conference on Simulation Tools and Techniques (SIMUtools), H. Song, D. Jiang (eds.) (2021). 513–532. Springer International Publishing, Cham.
     
  • Baloo: Measuring and Mode... - Download
    Baloo: Measuring and Modeling the Performance Configurations of Distributed DBMS. Grohmann, Johannes; Seybold, Daniel; Eismann, Simon; Leznik, Mark; Kounev, Samuel; Domaschka, Jörg; in 2020 28th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS) (2020). 1–8. IEEE.
    Acceptance Rate: 27%
     
  • An IoT Network Emulator f... - Download
    An IoT Network Emulator for Analyzing the Influence of Varying Network Quality. Herrnleben, Stefan; Ailabouni, Rudy; Grohmann, Johannes; Prantl, Thomas; Krupitzer, Christian; Kounev, Samuel; in Proceedings of the 12th EAI International Conference on Simulation Tools and Techniques (SIMUtools) (2020).
     
  • Incremental Calibration o... - Download
    Incremental Calibration of Architectural Performance Models with Parametric Dependencies. Mazkatli, Manar; Monschein, David; Grohmann, Johannes; Koziolek, Anne; in 2020 IEEE International Conference on Software Architecture (ICSA 2020) (2020). 23–34. IEEE.
     
  • To Fail Or Not To Fail: P... - Download
    To Fail Or Not To Fail: Predicting Hard Disk Drive Failure Time Windows. Züfle, Marwin; Krupitzer, Christian; Erhard, Florian; Grohmann, Johannes; Kounev, Samuel; in Proceedings of the 20th International GI/ITG Conference on Measurement, Modelling and Evaluation of Computing Systems (2020). 19–36. Springer, Cham.
     
  • Model-based Performance P... - Download
    Model-based Performance Predictions for SDN-based Networks: A Case Study. Herrnleben, Stefan; Rygielski, Piotr; Grohmann, Johannes; Eismann, Simon; Hossfeld, Tobias; Kounev, Samuel; in Proceedings of the 20th International GI/ITG Conference on Measurement, Modelling and Evaluation of Computing Systems (2020). Springer, Cham.
     
  • Predicting the Costs of S... - Download
    Predicting the Costs of Serverless Workflows. Eismann, Simon; Grohmann, Johannes; van Eyk, Erwin; Herbst, Nikolas; Kounev, Samuel; in Proceedings of the 2020 ACM/SPEC International Conference on Performance Engineering (ICPE) (2020). 265–276. Association for Computing Machinery (ACM), New York, NY, USA.
    Acceptance Rate: 23.4% (15/64)
     
  • Integrating Statistical R... - Download
    Integrating Statistical Response Time Models in Architectural Performance Models. Eismann, Simon; Grohmann, Johannes; Walter, Jürgen; von Kistowski, Jóakim; Kounev, Samuel; in Proceedings of the 2019 IEEE International Conference on Software Architecture (ICSA) (2019). 71–80. IEEE.
    Acceptance Rate: 21,9% (21/96)
     
  • On Learning in Collective... - Download
    On Learning in Collective Self-Adaptive Systems: State of Practice and a 3D Framework. D’Angelo, M.; Gerasimou, S.; Ghahremani, S.; Grohmann, J.; Nunes, I.; Pournaras, E.; Tomforde, S.; in Proceedings of the 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (2019). 13–24. IEEE Press.
     
  • Predicting Server Power C... - Download
    Predicting Server Power Consumption from Standard Rating Results. von Kistowski, Jóakim; Grohmann, Johannes; Schmitt, Norbert; Kounev, Samuel; in Proceedings of the 19th ACM/SPEC International Conference on Performance Engineering (2019). 301–312. Association for Computing Machinery (ACM), New York, NY, USA.
    Full Paper Acceptance Rate: 18.6% (13/70)
     
  • Monitorless: Predicting P... - Download
    Monitorless: Predicting Performance Degradation in Cloud Applications with Machine Learning. Grohmann, Johannes; Nicholson, Patrick K.; Iglesias, Jesus Omana; Kounev, Samuel; Lugones, Diego; in Proceedings of the 20th International Middleware Conference (2019). 149–162. Association for Computing Machinery (ACM), New York, NY, USA.
     
  • Detecting Parametric Depe... - Download
    Detecting Parametric Dependencies for Performance Models Using Feature Selection Techniques. Grohmann, Johannes; Eismann, Simon; Elflein, Sven; Mazkatli, Manar; von Kistowski, Jóakim; Kounev, Samuel; in 2019 IEEE 27th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS) (2019). 309–322. IEEE Computer Society.
    Acceptance Rate: 23.8% (29/122)
     
  • On the Value of Service D... - Download
    On the Value of Service Demand Estimation for Auto-Scaling. Bauer, André; Grohmann, Johannes; Herbst, Nikolas; Kounev, Samuel; in Proceedings of 19th International GI/ITG Conference on Measurement, Modelling and Evaluation of Computing Systems (MMB 2018) (2018). (Vol. 10740) 142–156. Springer, Cham.
     
  • TeaStore: A Micro-Service... - Download
    TeaStore: A Micro-Service Reference Application for Benchmarking, Modeling and Resource Management Research. von Kistowski, Jóakim; Eismann, Simon; Schmitt, Norbert; Bauer, André; Grohmann, Johannes; Kounev, Samuel; in Proceedings of the 26th IEEE International Symposium on the Modelling, Analysis, and Simulation of Computer and Telecommunication Systems (2018). 223–236. IEEE Computer Society.
    Acceptance Rate: 29.5% (23/78)
     

Short Conference Papers

  • An Automated Forecasting ... - Download
    An Automated Forecasting Framework based on Method Recommendation for Seasonal Time Series. Bauer, André; Züfle, Marwin; Grohmann, Johannes; Schmitt, Norbert; Herbst, Nikolas; Kounev, Samuel; in Proceedings of the ACM/SPEC International Conference on Performance Engineering (2020). 48–55. Association for Computing Machinery (ACM), New York, NY, USA.
     
  • How is Performance Addres... - Download
    How is Performance Addressed in DevOps?. Bezemer, Cor-Paul; Eismann, Simon; Ferme, Vincenzo; Grohmann, Johannes; Heinrich, Robert; Jamshidi, Pooyan; Shang, Weiyi; van Hoorn, André; Villavicencio, Mónica; Walter, Jürgen; Willnecker, Felix; in Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering (2019). 45–50. Association for Computing Machinery (ACM), New York, NY, USA.
     
  • Self-Tuning Resource Dema... - Download
    Self-Tuning Resource Demand Estimation. Grohmann, Johannes; Herbst, Nikolas; Spinner, Simon; Kounev, Samuel; in Proceedings of the 14th IEEE International Conference on Autonomic Computing (ICAC 2017) (2017). 21–26.
     

Workshop Papers

  • Optimizing Parametric Dep... - Download
    Optimizing Parametric Dependencies for Incremental Performance Model Extraction. Voneva, Sonya; Mazkatli, Manar; Grohmann, Johannes; Koziolek, Anne; in Companion of the 14th European Conference Software Architecture (ECSA 2020), H. Muccini, P. Avgeriou, B. Buhnova, J. Cámara, M. Caporuscio, M. Franzago, A. Koziolek, P. Scandurra, C. Trubiani, D. Weyns, U. Zdun (eds.) (2020). (Vol. 1269) 228–240. Springer, Cham.
     
  • Learning to Learn in Coll... - Download
    Learning to Learn in Collective Adaptive Systems: Mining Design Pattern for Data-driven Reasoning. D’Angelo, Mirko; Ghahremani, Sona; Gerasimou, Simos; Grohmann, Johannes; Nunes, Ingrid; Tomforde, Sven; Pournaras, Evangelos; in 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) (2020). 121–126. IEEE.
     
  • Systematic Search for Opt... - Download
    Systematic Search for Optimal Resource Configurations of Distributed Applications. Bauer, André; Eismann, Simon; Grohmann, Johannes; Herbst, Nikolas; Kounev, Samuel; in 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W) (2019). 120–125. IEEE Computer Society, Los Alamitos, CA, USA.
     
  • On Learning Parametric De... - Download
    On Learning Parametric Dependencies from Monitoring Data. Grohmann, Johannes; Eismann, Simon; Kounev, Samuel; in Proceedings of the 10th Symposium on Software Performance 2019 (SSP’19) (2019).
     
  • Utilizing Clustering to O... - Download
    Utilizing Clustering to Optimize Resource Demand Estimation Approaches. Grohmann, Johannes; Eismann, Simon; Bauer, Andre; Zuefle, Marwin; Herbst, Nikolas; Kounev, Samuel; in 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W) (2019). 134–139. IEEE.
     
  • Black-box Learning of Par... - Download
    Black-box Learning of Parametric Dependencies for Performance Models. Ackermann, Vanessa; Grohmann, Johannes; Eismann, Simon; Kounev, Samuel; in Proceedings of 13th International Workshop on Models@run.time (MRT), co-located with ACM/IEEE 21st International Conference on Model Driven Engineering Languages and Systems (MODELS 2018) (2018).
     

Vision, Position, Demo, and Poster Papers

  • Buzzy: Towards Realistic ... - Download
    Buzzy: Towards Realistic DBMS Benchmarking via Tailored, Representative, Synthetic Workloads. Domaschka, Jörg; Eismann, Simon; Leznik, Mark; Grohmann, Johannes; Kounev, Samuel; Seybold, Daniel; in Companion of the ACM/SPEC International Conference on Performance Engineering (2021). (Vol. ICPE ’21) 175–178. Association for Computing Machinery, New York, NY, USA.
     
  • TeaStore: A Micro-Service... - Download
    TeaStore: A Micro-Service Reference Application for Cloud Researchers. Eismann, Simon; v. Kistowski, Jóakim; Grohmann, Johannes; Bauer, André; Schmitt, Norbert; Herbst, Nikolas; Kounev, Samuel; in Proceedings of 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion) (2018). 11–12. IEEE.
     
  • A SPEC RG Cloud Group's V... - Download
    A SPEC RG Cloud Group’s Vision on the Performance Challenges of FaaS Cloud Architectures. van Eyk, Erwin; Iosup, Alexandru; Abad, Cristina L.; Grohmann, Johannes; Eismann, Simon; in Companion of the 2018 ACM/SPEC International Conference on Performance Engineering (2018). 21–24. Association for Computing Machinery (ACM), New York, NY, USA.
     
  • Tools for Declarative Per... - Download
    Tools for Declarative Performance Engineering. Walter, Jürgen; Eismann, Simon; Grohmann, Johannes; Okanovic, Dusan; Kounev, Samuel; in Companion of the 2018 ACM/SPEC International Conference on Performance Engineering (2018). 53–56. Association for Computing Machinery (ACM), New York, NY, USA.
     
  • The Vision of Self-Aware ... - Download
    The Vision of Self-Aware Performance Models. Grohmann, Johannes; Eismann, Simon; Kounev, Samuel; in 2018 IEEE International Conference on Software Architecture Companion (ICSA-C) (2018). 60–63.
     
  • Using Machine Learning fo... - Download
    Using Machine Learning for Recommending Service Demand Estimation Approaches. Grohmann, Johannes; Herbst, Nikolas; Spinner, Simon; Kounev, Samuel; in Proceedings of the 8th International Conference on Cloud Computing and Services Science (CLOSER 2018) (2018). 473–480. SciTePress.
     

Techreports

  • A Review of Serverless Us... - Download
    A Review of Serverless Use Cases and their Characteristics Eismann, Simon; Scheuner, Joel; van Eyk, Erwin; Schwinger, Maximilian; Grohmann, Johannes; Herbst, Nikolas; Abad, Cristina; Iosup, Alexandru; (2020). SPEC RG.