piwik-script

Intern
Chair of Computer Science II - Software Engineering

Publications

Peer Reviewed Journal and Magazine Articles

  • A Survey on Secure Group Communication Schemes with Focus on IoT Communication. Prantl, Thomas; Zeck, Timo; Bauer, André; Ten, Peter; Prantl, Dominik; Ben Yahya, Ala Eddine; Iffländer, Lukas; Dmitrienko, Alexandra; Krupitzer, Christian; Kounev, Samuel; in IEEE Access (2022). IEEE.
    Accepted but not yet published
  • Towards Forecasting Future Snow Cover Dynamics in the European Alps - The Potential of Long Optical Remote-Sensing Time Series. Koehler, Jonas; Bauer, André; Dietz, Andreas J.; Kuenzer, Claudia; in Remote Sensing (2022). 14(18)
  • Artificial Intelligence-Based Early Detection Of Acute Kidney Injury After Cardiac Surgery. Kalisnik, Jurij Matija; Bauer, Andr{é}; Vogt, Ferdinand Aurel; Stickl, Franziska Josephine; Zibert, Janez; Fittkau, Matthias; Bertsch, Thomas; Kounev, Samuel; Fischlein, Theodor; in European Journal of Cardio-Thoracic Surgery (2022).
    Joint first authorship; To be published soon
  • SARDE: A Framework for Co...
    SARDE: A Framework for Continuous and Self-Adaptive Resource Demand Estimation. Grohmann, Johannes; Eismann, Simon; Bauer, Andr\’{e}; 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.
  • {Time Series Forecasting ...
    {Time Series Forecasting for Self-Aware Systems}. Bauer, Andr{\’e}; Z{\"u}fle, Marwin; Herbst, Nikolas; Zehe, Albin; Hotho, Andreas; Kounev, Samuel; in Proceedings of the IEEE (2020). 108(7) 1068–1093.
  • The SPEC-RG Reference Arc...
    The SPEC-RG Reference Architecture for FaaS: From Microservices and Containers to Serverless Platforms. van Eyk, Erwin; Grohmann, Johannes; Eismann, Simon; Bauer, Andr{\’e}; Versluis, Laurens; Toader, Lucian; Schmitt, Norbert; Herbst, Nikolas; Abad, Cristina L.; Iosup, Alexandru; in IEEE Internet Computing (2019). 23(6) 7–18. IEEE.
  • Methodological Principles...
    Methodological Principles for Reproducible Performance Evaluation in Cloud Computing. Papadopoulos, Alessandro Vittorio; Versluis, Laurens; Bauer, Andr{\’e}; Herbst, Nikolas; von Kistowski, J{\’o}akim; Ali-Eldin, Ahmed; Abad, Cristina; Amaral, J. Nelson; Tuma, Petr; Iosup, Alexandru; in IEEE Transactions on Software Engineering (2019). 47(8) 1528–1543.
  • {Modeling of Aggregated I...
    {Modeling of Aggregated IoT Traffic and Its Application to an IoT Cloud}. Metzger, Florian; Ho{\ss}feld, Tobias; Bauer, Andr{\’e}; Kounev, Samuel; Heegaard, Poul. E.; in Proceedings of the IEEE (2019). 107(4) 679–694.
  • {Chameleon: A Hybrid, Pro...
    {Chameleon: A Hybrid, Proactive Auto-Scaling Mechanism on a Level-Playing Field}. Bauer, Andr{\’e}; Herbst, Nikolas; Spinner, Simon; Ali-Eldin, Ahmed; Kounev, Samuel; in IEEE Transactions on Parallel and Distributed Systems (2019). 30(4) 800–813. IEEE.
  • {Quantifying Cloud Perfor...
    {Quantifying Cloud Performance and Dependability: Taxonomy, Metric Design, and Emerging Challenges}. Herbst, Nikolas; Bauer, Andr{\’e}; Kounev, Samuel; Oikonomou, Giorgos; van Eyk, Erwin; Kousiouris, George; Evangelinou, Athanasia; Krebs, Rouven; Brecht, Tim; Abad, Cristina L.; Iosup, Alexandru; in ACM Transactions on Modeling and Performance Evaluation of Computing Systems (ToMPECS) (2018). 3(4) 19:1–19:36. ACM, New York, NY, USA.
  • An Experimental Performan...
    An Experimental Performance Evaluation of Autoscalers for Complex Workflows. Ilyushkin, Alexey; Ali-Eldin, Ahmed; Herbst, Nikolas; Bauer, Andr{\’e}; Papadopoulos, Alessandro V.; Epema, Dick; Iosup, Alexandru; in ACM Transactions on Modeling and Performance Evaluation of Computing Systems (ToMPECS) (2018). 3(2) 8:1–8:32. ACM, New York, NY, USA.

Peer Reviewed Full Conference Papers

  • Why Is It Not Solved Yet?...
    Why Is It Not Solved Yet? Challenges for Production-Ready Autoscaling. Straesser, Martin; Grohmann, Johannes; von Kistowski, J\’{o}akim; Eismann, Simon; Bauer, Andr\’{e}; Kounev, Samuel; in Proceedings of the 2022 ACM/SPEC on International Conference on Performance Engineering (2022). 105–115. Association for Computing Machinery, New York, NY, USA.
  • Benchmarking of Pre- and Post-Quantum Group Encryption Schemes with Focus on IoT. Prantl, Thomas; Prantl, Dominik; Bauer, André; Iffländer, Lukas; Dmitrenko, Alexandra; Krupitzer, Christian; Kounev, Samuel; in 2021 IEEE 40th International Performance Computing and Communications Conference (IPCCC) (2021).
  • Libra: A Benchmark for Ti...
    Libra: A Benchmark for Time Series Forecasting Methods. Bauer, Andr{\’e}; Z{\"u}fle, 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.
  • Online Power Consumption ...
    Online Power Consumption Estimation for Functions in Cloud Applications. Schmitt, Norbert; Iffländer, Lukas; Bauer, André; Kounev, Samuel; in Proceedings of the 16th IEEE International Conference on Autonomic Computing (ICAC) (2019). IEEE.
  • {Autonomic Forecasting Me...
    {Autonomic Forecasting Method Selection: Examination and Ways Ahead}. Z{\"u}fle, Marwin; Bauer, Andr{\’e}; Lesch, Veronika; Krupitzer, Christian; Herbst, Nikolas; Kounev, Samuel; Curtef, Valentin; in Proceedings of the 16th {IEEE} International Conference on Autonomic Computing (ICAC) (2019). IEEE.
  • Kaa: Evaluating Elasticit...
    Kaa: Evaluating Elasticity of Cloud-hosted DBMS. Seybold, Daniel; Volpert, Simon; Wesner, Stefan; Bauer, Andr{\’e}; Herbst, Nikolas; Domaschka, J{\"o}rg; in Proceedings of the 11th IEEE International Conference on Cloud Computing (CloudCom) (2019).
  • Chamulteon: Coordinated A...
    Chamulteon: Coordinated Auto-Scaling of Micro-Services. Bauer, Andr{\’e}; Lesch, Veronika; Versluis, Laurens; Ilyushkin, Alexey; Herbst, Nikolas; Kounev, Samuel; in Proceedings of the 39th IEEE International Conference on Distributed Computing Systems (ICDCS) (2019).
  • {FOX: Cost-Awareness for ...
    {FOX: Cost-Awareness for Autonomic Resource Management in Public Clouds}. Lesch, Veronika; Bauer, Andr{\’e}; Herbst, Nikolas; Kounev, Samuel; in Proceedings of the 9th ACM/SPEC International Conference on Performance Engineering (ICPE 2018) (2018). ACM, New York, NY, USA.
    Full Paper Acceptance Ratio: 23,7%
  • {TeaStore: A Micro-Servic...
    {TeaStore: A Micro-Service Reference Application for Benchmarking, Modeling and Resource Management Research}. von Kistowski, J{\’o}akim; Eismann, Simon; Schmitt, Norbert; Bauer, Andr{\’e}; 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)}
  • {On the Value of Service ...
    {On the Value of Service Demand Estimation for Auto-Scaling}. Bauer, Andr{\’e}; 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.

Peer Reviewed Short Conference Papers

  • Automated Triage of Perfo...
    Automated Triage of Performance Change Points Using Time Series Analysis and Machine Learning. Bauer, André; Straesser, Martin; Beierlieb, Lukas; Meissner, Maximilian; Kounev, Samuel; in Proceedings of the 2022 ACM/SPEC on International Conference on Performance Engineering (2022). ACM.
  • Same, Same, but Dissimila...
    Same, Same, but Dissimilar: Exploring Measurements for Workload Time-Series Similarity. Leznik, Mark; Grohmann, Johannes; Kliche, Nina; Bauer, Andr\’{e}; Seybold, Daniel; Eismann, Simon; Kounev, Samuel; Domaschka, J\"{o}rg; in Proceedings of the 2022 ACM/SPEC on International Conference on Performance Engineering (2022). 89–96. Association for Computing Machinery, New York, NY, USA.
  • Change Point Detection for MongoDB Time Series Performance Regression. Leznik, Mark; Iqbal, Md Shahriar; Trubin, Igor A.; Lochner, Arne; Jamshidi, Pooyan; Bauer, André; in Proceedings of the 2022 ACM/SPEC on International Conference on Performance Engineering (2022). ACM.
  • Telescope: An Automatic F...
    Telescope: An Automatic Feature Extraction and Transformation Approach for Time Series Forecasting on a Level-Playing Field. Bauer, Andr{\’e}; Z{\"u}fle, Marwin; Herbst, Nikolas; Kounev, Samuel; Curtef, Valentin; in Proceedings of the 36th International Conference on Data Engineering (ICDE) (2020).
  • {An Automated Forecasting...
    {An Automated Forecasting Framework based on Method Recommendation for Seasonal Time Series}. Bauer, Andr{\’e}; Z{\"u}fle, 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.

PhD Thesis

  • Automated Hybrid Time Ser...
    Automated Hybrid Time Series Forecasting: Design, Benchmarking, and Use Cases. Bauer, Andr{\’e}; (2020, December). University of W{ü}rzburg, Germany.
    {Distinction, SPEC Kaivalya Dixit Distinguished Dissertation Award 2021}

Book Chapters

  • Automatisierte Hybride Zeitreihenprognose. Bauer, André; in Ausgezeichnete Informatikdissertationen 2020, S. Hölldobler (ed.) (2021). 29–38. Gesellschaft für Informatik e.V., Bonn.
  • {Elasticity of Cloud Platforms}. Herbst, Nikolas; Bauer, Andr{\’e}; Kounev, Samuel; in {Systems Benchmarking: For Scientists and Engineers}, S. Kounev, K.-D. Lange, J. von Kistowski (eds.) (2020). 319–340. Springer.
  • {Challenges and Approache...
    {Challenges and Approaches: Forecasting for Autonomic Computing}. Bauer, Andr{\’e}; in {Organic Computing: Doctoral Dissertation Colloquium 2018}, S. Tomforde, B. Sick (eds.) (2019). kassel university press GmbH.

Peer Reviewed Workshop Papers

  • An Experience Report on the Suitability of a Distributed Group Encryption Scheme for an IoT Use Case. Prantl, Thomas; Engel, Simon; Bauer, Andre; Ben Yahya, Ala Eddine; Herrnleben, Stefan; Iffländer, Lukas; Dmitrienko, Alexandra; Kounev, Samuel; in 2022 IEEE 95th Vehicular Technology Conference (VTC2022) (2022). IEEE.
  • {Utilizing Clustering to ...
    {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.
  • {Systematic Search for Op...
    {Systematic Search for Optimal Resource Configurations of Distributed Applications}. Bauer, Andr{\’e}; 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.

Peer Reviewed Extended Abstracts

  • {Towards Splitting Monolithic Workflows into Serverless Functions and Estimating Their Run-Time in the Earth Observation Domain}. Kaiser, Dennis; Dovhan, Bohdan; Bauer, Andr{\’e}; Kounev, Samuel; in Proceedings of the 12th Symposium on Software Performance (SSP) (2021).
    Extended Abstract
  • {Methodological Principle...
    {Methodological Principles for Reproducible Performance Evaluation in Cloud Computing}. Papadopoulos, Alessandro Vittorio; Versluis, Laurens; Bauer, Andr{{\’e}}; Herbst, Nikolas; von Kistowski, J{{\’o}}akim; Ali{-}Eldin, Ahmed; Abad, Cristina L.; Amaral, Jos{{\’e}} Nelson; Tuma, Petr; Iosup, Alexandru; in Software Engineering 2020, Fachtagung des GI-Fachbereichs Softwaretechnik, 24.-28. Februar 2020, Innsbruck, Austria, M. Felderer, W. Hasselbring, R. Rabiser, R. Jung (eds.) (2020). (Vol. {P-300}) 93–94. Gesellschaft f{{\"u}}r Informatik e.V.
  • {Telescope: A Hybrid Fore...
    {Telescope: A Hybrid Forecast Method for Univariate Time Series}. Z{\"u}fle, Marwin; Bauer, Andr{\’e}; Herbst, Nikolas; Curtef, Valentin; Kounev, Samuel; in {Proceedings of the International work-conference on Time Series (ITISE 2017)} (2017).

Peer Reviewed Poster Papers

  • SPEC Research - Introducing the Predictive Data Analytics Working Group. Bauer, André; Leznik, Mark; Seybold, Daniel; Trubin, Igor; Erb, Benjamin; Domaschka, Jörg; Jamshidi, Pooyan; in Companion of the 2022 ACM/SPEC on International Conference on Performance Engineering (2022).
  • SPEC Research - Introduci...
    SPEC Research - Introducing the Predictive Data Analytics Working Group. Bauer, André; Leznik, Mark; Seybold, Daniel; Trubin, Igor; Erb, Benjamin; Domaschka, Jörg; Jamshidi, Pooyan; in Companion of the 2022 ACM/SPEC International Conference on Performance Engineering (2022).
  • TeaStore: A Micro-Service...
    TeaStore: A Micro-Service Reference Application for Cloud Researchers. Eismann, Simon; v. Kistowski, J{\’o}akim; Grohmann, Johannes; Bauer, Andr{\’e}; 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.

Peer Reviewed Tutorial Papers

  • {Best Practices for Time ...
    {Best Practices for Time Series Forecasting}. Bauer, Andr{\’e}; Z{\"u}fle, Marwin; Herbst, Nikolas; Kounev, Samuel; in {2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W)} (2019).
  • {Design and Evaluation of...
    {Design and Evaluation of a Proactive, Application-Aware Auto-Scaler}. Bauer, Andr{\’e}; Herbst, Nikolas; Kounev, Samuel; in {Proceedings of the 8th ACM/SPEC International Conference on Performance Engineering (ICPE 2017)} (2017).

Techreports

  • Performance-feedback auto...
    Performance-feedback autoscaling with budget constraints for cloud-based workloads of workflows. Ilyushkin, Alexey; Bauer, Andr{\’e}; Papadopoulos, Alessandro V; Deelman, Ewa; Iosup, Alexandru; in arXiv preprint arXiv:1905.10270 (2019).
  • {Methodological Principles for Reproducible Performance Evaluation in Cloud Computing - A SPEC Research Technical Report}. (SPEC-RG-2019-04), Papadopoulos, Alessandro Vittorio; Versluis, Laurens; Bauer, Andr{\’e}; Herbst, Nikolas; von Kistowski, J{\’o}akim; Ali-Eldin, Ahmed; Abad, Cristina; Amaral, J. Nelson; Tuma, Petr; Iosup, Alexandru; (2019). SPEC Research Group --- Cloud Working Group, Standard Performance Evaluation Corporation (SPEC).

Newsletter

  • SPEC Research Group Newsl...
    SPEC Research Group Newsletter, Issue 11. Kounev, Samuel; van Hoorn, Andre; Straesser, Martin; Bauer, Andr{é}; (2022, April).
    Published by Standard Performance Evaluation Corporation (SPEC)
  • {SPEC Research Group News...
    {SPEC Research Group Newsletter, vol. 3 no. 2}. Kounev, Samuel; van Hoorn, Andre; Bauer, Andr{\’e}; (2021, April).
    Published by Standard Performance Evaluation Corporation (SPEC)
  • {SPEC Research Group News...
    {SPEC Research Group Newsletter, vol. 3 no. 1}. Kounev, Samuel; van Hoorn, Andre; Bauer, Andr{\’e}; Herbst, Nikolas; (2020, April).
    Published by Standard Performance Evaluation Corporation (SPEC)
  • {SPEC Research Group News...
    {SPEC Research Group Newsletter, vol. 2 no. 4}. Kounev, Samuel; van Hoorn, Andre; Bauer, Andr{\’e}; Herbst, Nikolas; (2019, April).
    Published by Standard Performance Evaluation Corporation (SPEC)
  • {SPEC Research Group News...
    {SPEC Research Group Newsletter, vol. 2 no. 3}. Kounev, Samuel; van Hoorn, Andre; Herbst, Nikolas; Bauer, Andr{\’e}; (2018, April).
    Published by Standard Performance Evaluation Corporation (SPEC)
  • {SPEC Research Group News...
    {SPEC Research Group Newsletter, vol. 2 no. 2}. Kounev, Samuel; van Hoorn, Andre; Rygielski, Piotr; Herbst, Nikolas; Bauer, Andr{\’e}; (2017, April).
    Published by Standard Performance Evaluation Corporation (SPEC)

Talks

  • {Chameleon: A Hybrid, Pro...
    {Chameleon: A Hybrid, Proactive Auto-Scaling Mechanism on a Level-Playing Field}. Bauer, Andr{\’e}; (2019, June).
  • {Extending BUNGEE Elastic...
    {Extending BUNGEE Elasticity Benchmark for Multi-Tier Cloud Applications}. Bauer, Andr{\’e}; (2018, April).
  • {Design and Evaluation of...
    {Design and Evaluation of a Proactive, Application-Aware Elasticity Mechanism}. Bauer, Andr{\’e}; (2016, November).
  • {Chameleon: Design and Evaluation of a Proactive, Application-Aware Elasticity Mechanism}. Bauer, Andr{\’e}; (2016, October).