Publications

2024

1. Prediction of Perceived Exertion Ratings in National Level Soccer Players Us-ing Wearable Sensor Data and Machine Learning Techniques

   Robert Leppich, Philipp Kunz, André Bauer, Samuel Kounev, Billy Sperlich, and Peter Düking

   Journal of Sports Science and Medicine, Dec 2024

   Bib Website

   @article{leppich2024prediction,
     title = {Prediction of Perceived Exertion Ratings in National Level Soccer Players Us-ing Wearable Sensor Data and Machine Learning Techniques},
     author = {Leppich, Robert and Kunz, Philipp and Bauer, André and Kounev, Samuel and Sperlich, Billy and Düking, Peter},
     journal = {Journal of Sports Science and Medicine},
     volume = {23},
     number = {4},
     pages = {744--753},
     year = {2024},
     month = dec,
     publisher = {Department of Sports Medicine, Medical Faculty of Uludag University},
     url = {https://www.jssm.org/researchjssm-23-744.xml.xml}
   }

2. Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing

   Haochen Pan, Ryan Chard, Sicheng Zhou, Alok Kamatar, Rafael Vescovi, Valerie Hayot-Sasson, André Bauer, Maxime Gonthier, Kyle Chard, and Ian Foster

   In Proceedings of the International Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS), Nov 2024

   Bib Website

   @inproceedings{pan2024octopusFTXS,
     title = {Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing},
     author = {Pan, Haochen and Chard, Ryan and Zhou, Sicheng and Kamatar, Alok and Vescovi, Rafael and Hayot-Sasson, Valerie and Bauer, André and Gonthier, Maxime and Chard, Kyle and Foster, Ian},
     year = {2024},
     month = nov,
     booktitle = {Proceedings of the International Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS)},
     url = {},
     publisher = {}
   }

3. Interatrial block is an independent risk factor new-onset atrial fibrillation after cardiac surgery

   Spela Leiler, Andre Bauer, Wolfgang Hitzl, Valentin Guenzler, Matthias Angerer, Theodor Fischlein, Jurij Matija Kalisnik, and  others

   JTCVS Open, Oct 2024

   Bib Website

   @article{leiler2024interatrial,
     title = {Interatrial block is an independent risk factor new-onset atrial fibrillation after cardiac surgery},
     author = {Leiler, Spela and Bauer, Andre and Hitzl, Wolfgang and Guenzler, Valentin and Angerer, Matthias and Fischlein, Theodor and Kalisnik, Jurij Matija and others},
     journal = {JTCVS Open},
     year = {2024},
     month = oct,
     publisher = {Elsevier},
     url = {https://doi.org/10.1016/j.xjon.2024.10.003}
   }

4. An Empirical Investigation of Container Building Strategies and Warm Times to Reduce Cold Starts in Scientific Computing Serverless Functions

   André Bauer, Maxime Gonthier, Ryan Chard, Haochen Pan, Daniel Grzenda, Martin Straesser, J. Gregory Pauloski, Alok Kamatar, Matthew E. Baughman, Nathaniel Hudson, Ian Foster, and Kyle Chard

   In Proceedings of the 20th IEEE International Conference on e-Science (eScience), Sep 2024

   Bib Website

   @inproceedings{bauer2024containerstarts,
     title = {An Empirical Investigation of Container Building Strategies and Warm Times to Reduce Cold Starts in Scientific Computing Serverless Functions},
     author = {Bauer, André and Gonthier, Maxime and Chard, Ryan and Pan, Haochen and Grzenda, Daniel and Straesser, Martin and Pauloski, J. Gregory and Kamatar, Alok and Baughman, Matthew E. and Hudson, Nathaniel and Foster, Ian and Chard, Kyle},
     year = {2024},
     month = sep,
     booktitle = {Proceedings of the 20th IEEE International Conference on e-Science (eScience)},
     publisher = {IEEE},
     pages = {},
     url = {}
   }

5. Network impact analysis on the performance of Secure Group Communication schemes with focus on IoT

   Thomas Prantl, Patrick Amann, Christian Krupitzer, Simon Engel, André Bauer, and Samuel Kounev

   Discover Data, Sep 2024

   Bib Website

   @article{prantl2024network,
     title = {Network impact analysis on the performance of Secure Group Communication schemes with focus on IoT},
     author = {Prantl, Thomas and Amann, Patrick and Krupitzer, Christian and Engel, Simon and Bauer, André and Kounev, Samuel},
     journal = {Discover Data},
     volume = {2},
     number = {1},
     pages = {9},
     year = {2024},
     month = sep,
     publisher = {Springer},
     url = {https://doi.org/10.1007/s44248-024-00015-1}
   }

6. GreenFaaS: Maximizing Energy Efficiency of HPC Workloads with FaaS

   Alok Kamatar, Valerie Hayot-Sasson, Yadu Babuji, André Bauer, Gourav Rattihalli, Ninad Hogade, Dejan Milojicic, Kyle Chard, and Ian Foster

   arXiv preprint arXiv:2406.17710, Jul 2024

   Bib Website

   @article{kamatar2024greenfaas,
     title = {GreenFaaS: Maximizing Energy Efficiency of HPC Workloads with FaaS},
     author = {Kamatar, Alok and Hayot-Sasson, Valerie and Babuji, Yadu and Bauer, André and Rattihalli, Gourav and Hogade, Ninad and Milojicic, Dejan and Chard, Kyle and Foster, Ian},
     year = {2024},
     month = jul,
     journal = {arXiv preprint arXiv:2406.17710},
   }

7. Object Proxy Patterns for Accelerating Distributed Applications

   J Gregory Pauloski, Valerie Hayot-Sasson, Logan Ward, Alexander Brace, André Bauer, Kyle Chard, and Ian Foster

   arXiv preprint arXiv:2407.01764, Jul 2024

   Bib Website

   @article{pauloski2024object,
     title = {Object Proxy Patterns for Accelerating Distributed Applications},
     author = {Pauloski, J Gregory and Hayot-Sasson, Valerie and Ward, Logan and Brace, Alexander and Bauer, André and Chard, Kyle and Foster, Ian},
     year = {2024},
     month = jul,
     journal = {arXiv preprint arXiv:2407.01764},
   }

8. Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing

   Haochen Pan, Ryan Chard, Sicheng Zhou, Alok Kamatar, Rafael Vescovi, Valerie Hayot-Sasson, André Bauer, Maxime Gonthier, Kyle Chard, and Ian Foster

   arXiv preprint arXiv:2407.11432, Jul 2024

   Bib Website

   @article{pan2024octopus,
     title = {Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing},
     author = {Pan, Haochen and Chard, Ryan and Zhou, Sicheng and Kamatar, Alok and Vescovi, Rafael and Hayot-Sasson, Valerie and Bauer, André and Gonthier, Maxime and Chard, Kyle and Foster, Ian},
     year = {2024},
     month = jul,
     journal = {arXiv preprint arXiv:2407.11432},
   }

9. Security Analysis of a Decentralized, Revocable and Verifiable Attribute-Based Encryption Scheme

   Thomas Prantl, Marco Lauer, Lukas Horn, Simon Engel, David Dingel, André Bauer, Christian Krupitzer, and Samuel Kounev

   In Proceedings of the 19th International Conference on Availability, Reliability and Security (ARES), Jul 2024

   Bib Website

   @inproceedings{prantel2024ares,
     title = {Security Analysis of a Decentralized, Revocable and Verifiable Attribute-Based Encryption Scheme},
     author = {Prantl, Thomas and Lauer, Marco and Horn, Lukas and Engel, Simon and Dingel, David and Bauer, André and Krupitzer, Christian and Kounev, Samuel},
     year = {2024},
     month = jul,
     booktitle = {Proceedings of the 19th International Conference on Availability, Reliability and Security (ARES)},
     publisher = {ACM},
     pages = {272--282},
     url = {https://doi.org/10.1145/3664476.3664487}
   }

10. Thinking in Categories: A Survey on Assessing the Quality for Time Series Synthesis

    Michael Stenger, André Bauer, Thomas Prantl, Robert Leppich, Nathaniel Hudson, Kyle Chard, Ian Foster, and Samuel Kounev

    Journal of Data and Information Quality, Jun 2024

    Bib Website

    @article{stenger2024category,
      title = {Thinking in Categories: A Survey on Assessing the Quality for Time Series Synthesis},
      author = {Stenger, Michael and Bauer, André and Prantl, Thomas and Leppich, Robert and Hudson, Nathaniel and Chard, Kyle and Foster, Ian and Kounev, Samuel},
      year = {2024},
      month = jun,
      journal = {Journal of Data and Information Quality},
      publisher = {ACM},
      volume = {16},
      number = {2},
      pages = {32},
      url = {https://doi.org/10.1145/3666006}
    }

11. Unveiling Temporal Performance Deviation: Leveraging Clustering in Microservices Performance Analysis

    André Bauer, Timo Dittus, Martin Straesser, Alok Kamatar, Matt Baughman, Lukas Beierlieb, Marius Hadry, Daniel Grillmeyer, Yannik Lubas, Samuel Kounev, Ian Foster, and Kyle Chard

    In Companion of the 15th ACM/SPEC International Conference on Performance Engineering (ICPE), May 2024

    Bib Website

    @inproceedings{bauer2024Unveiling,
      title = {{Unveiling Temporal Performance Deviation: Leveraging Clustering in Microservices Performance Analysis}},
      author = {Bauer, André and Dittus, Timo and Straesser, Martin and Kamatar, Alok and Baughman, Matt and Beierlieb, Lukas and Hadry, Marius and Grillmeyer, Daniel and Lubas, Yannik and Kounev, Samuel and Foster, Ian and Chard, Kyle},
      year = {2024},
      month = may,
      booktitle = {Companion of the 15th ACM/SPEC International Conference on Performance Engineering (ICPE)},
      publisher = {ACM},
      page = {72--76},
      url = {https://doi.org/10.1145/3629527.3651843}
    }

12. Benchmarking of Secure Group Communication schemes with focus on IoT

    Thomas Prantl, André Bauer, Simon Engel, Lukas Horn, Christian Krupitzer, Lukas Iffländer, and Samuel Kounev

    Discover Data, May 2024

    Bib Website

    @article{prantl2024benchmarking,
      title = {Benchmarking of Secure Group Communication schemes with focus on IoT},
      author = {Prantl, Thomas and Bauer, André and Engel, Simon and Horn, Lukas and Krupitzer, Christian and Iffländer, Lukas and Kounev, Samuel},
      year = {2024},
      month = may,
      journal = {Discover Data},
      publisher = {Springer},
      volume = {2},
      number = {1},
      pages = {5},
      url = {https://doi.org/10.1007/s44248-024-00010-6}
    }

13. Evaluation is Key: A Survey on Evaluation Measures for Synthetic Time Series

    Michael Stenger, Robert Leppich, Ian Foster, Samuel Kounev, and André Bauer

    Journal of Big Data, May 2024

    Bib Website

    @article{stenger2024evaluation,
      title = {{Evaluation is Key: A Survey on Evaluation Measures for Synthetic Time Series}},
      author = {Stenger, Michael and Leppich, Robert and Foster, Ian and Kounev, Samuel and Bauer, André},
      year = {2024},
      month = may,
      journal = {Journal of Big Data},
      publisher = {Springer},
      volume = {11},
      number = {1},
      pages = {66},
      url = {https://doi.org/10.1186/s40537-024-00924-7}
    }

14. Oil & Water? Diffusion of AI Within and Across Scientific Fields

    Eamon Duede, William Dolan, André Bauer, Ian Foster, and Karim Lakhani

    arXiv preprint arXiv:2405.15828, May 2024

    Bib Website

    @article{Duede2024AI,
      title = {Oil \& Water? Diffusion of AI Within and Across Scientific Fields},
      author = {Duede, Eamon and Dolan, William and Bauer, André and Foster, Ian and Lakhani, Karim},
      year = {2024},
      month = may,
      journal = {arXiv preprint arXiv:2405.15828},
    }

15. The Globus Compute Dataset: An Open Function-as-a-Service Dataset From the Edge to the Cloud

    André Bauer, Haochen Pan, Ryan Chard, Yadu Babuji, Josh Bryan, Devesh Tiwari, Ian Foster, and Kyle Chard

    Future Generation Computer Systems, Apr 2024

    Read more Bib Website

    @article{Bauer2023Globus,
      title = {The Globus Compute Dataset: An Open Function-as-a-Service Dataset From the Edge to the Cloud},
      author = {Bauer, André and Pan, Haochen and Chard, Ryan and Babuji, Yadu and Bryan, Josh and Tiwari, Devesh and Foster, Ian and Chard, Kyle},
      year = {2024},
      month = apr,
      journal = {Future Generation Computer Systems},
      volume = {153},
      pages = {558--574},
      url = {https://doi.org/10.1016/j.future.2023.12.007},
    }

16. Comprehensive Exploration of Synthetic Data Generation: A Survey

    André Bauer, Simon Trapp, Michael Stenger, Robert Leppich, Samuel Kounev, Mark Leznik, Kyle Chard, and Ian Foster

    arXiv preprint arXiv:2401.02524, Jan 2024

    Bib Website

    @article{bauer2024SynDatacomprehensive,
      title = {{Comprehensive Exploration of Synthetic Data Generation: A Survey}},
      author = {Bauer, André and Trapp, Simon and Stenger, Michael and Leppich, Robert and Kounev, Samuel and Leznik, Mark and Chard, Kyle and Foster, Ian},
      year = {2024},
      month = jan,
      journal = {arXiv preprint arXiv:2401.02524},
      url = {https://doi.org/10.48550/arXiv.2401.02524}
    }

2023

1. Memory Injections: Correcting Multi-Hop Reasoning Failures during Inference in Transformer-Based Language Models

   Mansi Sakarvadia, Aswathy Ajith, Arham Khan, Daniel Grzenda, Nathaniel Hudson, André Bauer, Kyle Chard, and Ian Foster

   In Proceedings of the 6th ACL BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP), Dec 2023

   Read more Bib Website

   @inproceedings{Mansi2023Multi,
     title = {Memory Injections: Correcting Multi-Hop Reasoning Failures during Inference in Transformer-Based Language Models},
     author = {Sakarvadia, Mansi and Ajith, Aswathy and Khan, Arham and Grzenda, Daniel and Hudson, Nathaniel and Bauer, André and Chard, Kyle and Foster, Ian},
     year = {2023},
     month = dec,
     booktitle = {Proceedings of the 6th ACL BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP)},
     publisher = {ACL},
     pages = {342--356},
     url = {https://aclanthology.org/2023.blackboxnlp-1.26/}
   }

2. Attention Lens: A Tool for Mechanistically Interpreting the Attention Head Information Retrieval Mechanism

   Mansi Sakarvadia, Arham Khan, Aswathy Ajith, Daniel Grzenda, Nathaniel Hudson, André Bauer, Kyle Chard, and Ian Foster

   In Proceedings of the 6th ACL BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP), Dec 2023

   Bib

   @inproceedings{Mansi2023AttentionLensExt,
     title = {Attention Lens: A Tool for Mechanistically Interpreting the Attention Head Information Retrieval Mechanism},
     author = {Sakarvadia, Mansi and Khan, Arham and Ajith, Aswathy and Grzenda, Daniel and Hudson, Nathaniel and Bauer, André and Chard, Kyle and Foster, Ian},
     year = {2023},
     month = dec,
     booktitle = {Proceedings of the 6th ACL BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP)},
     publisher = {ACL},
     pages = {}
   }

3. Attention Lens: A Tool for Mechanistically Interpreting the Attention Head Information Retrieval Mechanism (Poster Paper)

   Mansi Sakarvadia, Arham Khan, Aswathy Ajith, Daniel Grzenda, Nathaniel Hudson, André Bauer, Kyle Chard, and Ian Foster

   In Proceedings of the 1st CA Workshop on Attributing Model Behavior at Scale (ATTRIB), Dec 2023

   Bib

   @inproceedings{Mansi2023AttentionLensPoster,
     title = {Attention Lens: A Tool for Mechanistically Interpreting the Attention Head Information Retrieval Mechanism},
     author = {Sakarvadia, Mansi and Khan, Arham and Ajith, Aswathy and Grzenda, Daniel and Hudson, Nathaniel and Bauer, André and Chard, Kyle and Foster, Ian},
     year = {2023},
     month = dec,
     booktitle = {Proceedings of the 1st CA Workshop on Attributing Model Behavior at Scale (ATTRIB)},
     publisher = {ACL},
     pages = {},
     titleaddon = {{(Poster Paper)}}
   }

4. Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision

   Nathaniel C Hudson, J. Gregory Pauloski, Matt Baughman, Alok Kamatar, Mansi Sakarvadia, Logan Ward, Ryan Chard, André Bauer, Maksim Levental, Wenyi Wang, Will Engler, Owen Price Skelly, Ben Blaiszik, Rick Stevens, Kyle Chard, and Ian Foster

   In Proceedings of 10th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT), Dec 2023

   Bib Website

   @inproceedings{Hudson2023UCCInvited,
     title = {Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision},
     author = {Hudson, Nathaniel C and Pauloski, J. Gregory and Baughman, Matt and Kamatar, Alok and Sakarvadia, Mansi and Ward, Logan and Chard, Ryan and Bauer, André and Levental, Maksim and Wang, Wenyi and Engler, Will and Price Skelly, Owen and Blaiszik, Ben and Stevens, Rick and Chard, Kyle and Foster, Ian},
     year = {2023},
     month = dec,
     booktitle = {Proceedings of 10th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)},
     publisher = {IEEE/ACM},
     pages = {},
     url = {https://doi.org/10.1145/3632366.3632396}
   }

5. Towards a Cryptography Encyclopedia: A Survey on Attribute-based Encryption

   Thomas Prantl, Timo Zeck, Lukas Horn, Lukas Iffländer, André Bauer, Alexandra Dmitrienko, Christian Krupitzer, and Samuel Kounev

   Journal of Surveillance, Security and Safety, Dec 2023

   Bib Website

   @article{Prantl2023ABESurvey,
     title = {{Towards a Cryptography Encyclopedia: A Survey on Attribute-based Encryption}},
     author = {Prantl, Thomas and Zeck, Timo and Horn, Lukas and Iffländer, Lukas and Bauer, André and Dmitrienko, Alexandra and Krupitzer, Christian and Kounev, Samuel},
     year = {2023},
     month = dec,
     journal = {Journal of Surveillance, Security and Safety},
     volume = {4},
     pages = {129--154},
     url = {https://doi.org/10.20517/jsss.2023.30}
   }

6. Tournament-Based Pretraining to Accelerate Federated Learning

   Matt Baughman, Nathaniel Hudson, Ryan Chard, André Bauer, Ian Foster, and Kyle Chard

   In Proceedings of the 4th ACM International Workshops on Artificial Intelligence and Machine Learning for Scientific Applications (AI4S), Nov 2023

   Bib Website

   @inproceedings{Baughman2023FL,
     title = {Tournament-Based Pretraining to Accelerate Federated Learning},
     author = {Baughman, Matt and Hudson, Nathaniel and Chard, Ryan and Bauer, André and Foster, Ian and Chard, Kyle},
     year = {2023},
     month = nov,
     booktitle = {Proceedings of the 4th ACM International Workshops on Artificial Intelligence and Machine Learning for Scientific Applications (AI4S)},
     publisher = {ACM},
     pages = {109–115},
     url = {https://doi.org/10.1145/3624062.3626089}
   }

7. De Bello Homomorphico: Investigation of the Extensibility of the OpenFHE Library With Basic Mathematical Functions by Means of Common Approaches Using the Example of the Ckks Cryptosystem

   Thomas Prantl, Lukas Horn, Simon Engel, Lukas Iffländer, Lukas Beierlieb, Christian Krupitzer, André Bauer, Mansi Sakarvadia, Ian Foster, and Samuel Kounev

   International Journal of Information Security, Nov 2023

   Bib Website

   @article{Prantel2023HomomorpicEncryption,
     title = {De Bello Homomorphico: Investigation of the Extensibility of the OpenFHE Library With Basic Mathematical Functions by Means of Common Approaches Using the Example of the Ckks Cryptosystem},
     author = {Prantl, Thomas and Horn, Lukas and Engel, Simon and Iffländer, Lukas and Beierlieb, Lukas and Krupitzer, Christian and Bauer, André and Sakarvadia, Mansi and Foster, Ian and Kounev, Samuel},
     year = {2023},
     month = nov,
     journal = {International Journal of Information Security},
     pages = {1--21},
     url = {https://doi.org/10.1007/s10207-023-00781-0}
   }

8. Memory Injections: Correcting Multi-Hop Reasoning Failures during Inference in Transformer-Based Language Models

   Mansi Sakarvadia, Aswathy Ajith, Arham Khan, Daniel Grzenda, Nathaniel Hudson, André Bauer, Kyle Chard, and Ian Foster

   arXiv preprint arXiv:2309.05605, Sep 2023

   Bib Website

   @article{Sakarvadia2023memoryArxiv,
     title = {Memory Injections: Correcting Multi-Hop Reasoning Failures during Inference in Transformer-Based Language Models},
     author = {Sakarvadia, Mansi and Ajith, Aswathy and Khan, Arham and Grzenda, Daniel and Hudson, Nathaniel and Bauer, André and Chard, Kyle and Foster, Ian},
     year = {2023},
     month = sep,
     journal = {arXiv preprint arXiv:2309.05605},
     url = {https://doi.org/10.48550/arXiv.2309.05605}
   }

9. Telescope: An Automated Hybrid Forecasting Approach on a Level-Playing Field

   André Bauer, Mark Leznik, Michael Stenger, Robert Leppich, Nikolas Herbst, Samuel Kounev, and Ian Foster

   arXiv preprint arXiv:2309.15871, Sep 2023

   Bib Website

   @article{bauer2023telescopeArxiv,
     title = {Telescope: An Automated Hybrid Forecasting Approach on a Level-Playing Field},
     author = {Bauer, André and Leznik, Mark and Stenger, Michael and Leppich, Robert and Herbst, Nikolas and Kounev, Samuel and Foster, Ian},
     year = {2023},
     month = sep,
     journal = {arXiv preprint arXiv:2309.15871},
     url = {https://doi.org/10.48550/arXiv.2309.15871}
   }

10. Performance Impact Analysis of Homomorphic Encryption: A Case Study Using Linear Regression as an Example

    Thomas Prantl, Simon Engel, Lukas Horn, Dennis Kaiser, Lukas Iffländer, André Bauer, Christian Krupitzer, and Samuel Kounev

    In Companion of the 18th International Conference on Information Security Practice and Experience (ISPEC), Aug 2023

    Bib Website

    @inproceedings{Prantl2023HEPerformance,
      title = {Performance Impact Analysis of Homomorphic Encryption: A Case Study Using Linear Regression as an Example},
      author = {Prantl, Thomas and Engel, Simon and Horn, Lukas and Kaiser, Dennis and Iffländer, Lukas and Bauer, André and Krupitzer, Christian and Kounev, Samuel},
      year = {2023},
      month = aug,
      booktitle = {Companion of the 18th  International Conference on Information Security Practice and Experience (ISPEC)},
      publisher = {Springer},
      pages = {284--298},
      url = {https://link.springer.com/chapter/10.1007/978-981-99-7032-2_17}
    }

11. Impact of Prophylactic Intra-Aortic Balloon Pump on Early Outcomes in Patients With Severe Left Ventricular Dysfunction Undergoing Elective Coronary Artery Bypass Grafting With Cardiopulmonary Bypass

    Andrej Kralev, Jurij M. Kalisnik, André Bauer, Joachim Sirch, Matthias Fittkau, and Theodor Fischlein

    International Journal of Cardiology, Aug 2023

    Bib Website

    @article{KRALEV2023ImpactJournal,
      title = {Impact of Prophylactic Intra-Aortic Balloon Pump on Early Outcomes in Patients With Severe Left Ventricular Dysfunction Undergoing Elective Coronary Artery Bypass Grafting With Cardiopulmonary Bypass},
      author = {Kralev, Andrej and Kalisnik, Jurij M. and Bauer, André and Sirch, Joachim and Fittkau, Matthias and Fischlein, Theodor},
      year = {2023},
      month = aug,
      journal = {International Journal of Cardiology},
      volume = {385},
      pages = {8--15},
      url = {https://www.sciencedirect.com/science/article/pii/S0167527323007258}
    }

12. A literature review of IoT and CPS—What they are, and what they are not

    Veronika Lesch, Marwin Züfle, André Bauer, Lukas Iffländer, Christian Krupitzer, and Samuel Kounev

    Journal of Systems and Software, Jun 2023

    Bib Website

    @article{Lesch2023CPS,
      title = {A literature review of IoT and CPS—What they are, and what they are not},
      author = {Lesch, Veronika and Züfle, Marwin and Bauer, André and Iffländer, Lukas and Krupitzer, Christian and Kounev, Samuel},
      year = {2023},
      month = jun,
      journal = {Journal of Systems and Software},
      publisher = {Elsevier},
      volume = {200},
      number = {6},
      pages = {111631},
      url = {https://doi.org/10.1016/j.jss.2023.111631}
    }

13. An Empirical Study of Container Image Configurations and Their Impact on Start Times

    Martin Straesser, André Bauer, Robert Leppich, Nikolas Herbst, Kyle Chard, Ian Foster, and Samuel Kounev

    In Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), May 2023

    Bib Website

    @inproceedings{strasser2023container,
      title = {{An Empirical Study of Container Image Configurations and Their Impact on Start Times}},
      author = {Straesser, Martin and Bauer, André and Leppich, Robert and Herbst, Nikolas and Chard, Kyle and Foster, Ian and Kounev, Samuel},
      year = {2023},
      month = may,
      booktitle = {Proceedings of the 23rd  IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID)},
      publisher = {ACM},
      pages = {94--105},
      url = {https://ieeexplore.ieee.org/document/10171550},
    }

14. Recommendation of Secure Group Communication Schemes Using Multi-objective Optimization

    Thomas Prantl, André Bauer, Lukas Iffländer, Christian Krupitzer, and Samuel Kounev

    International Journal of Information Security, May 2023

    Bib Website

    @article{Prantl2023RecSGC,
      title = {Recommendation of Secure Group Communication Schemes Using Multi-objective Optimization},
      author = {Prantl, Thomas and Bauer, André and Iffländer, Lukas and Krupitzer, Christian and Kounev, Samuel},
      year = {2023},
      month = may,
      journal = {International Journal of Information Security},
      publisher = {Springer},
      volume = {},
      number = {},
      pages = {},
      url = {https://doi.org/10.1007/s10207-023-00692-0}
    }

15. A Systematic Approach for Benchmarking of Container Orchestration Frameworks

    Martin Straesser, Jonas Mathiasch, André Bauer, and Samuel Kounev

    In Proceedings of the 14th ACM/SPEC International Conference on Performance Engineering (ICPE), Apr 2023

    Bib Website

    @inproceedings{strasser2023benchmark,
      title = {{A Systematic Approach for Benchmarking of Container Orchestration Frameworks}},
      author = {Straesser, Martin and Mathiasch, Jonas and Bauer, André and Kounev, Samuel},
      year = {2023},
      month = apr,
      booktitle = {Proceedings of the 14th ACM/SPEC International Conference on Performance Engineering (ICPE)},
      publisher = {ACM},
      pages = {187–198},
      url = {https://doi.org/10.1145/3578244.3583726}
    }

16. Autoscaler Evaluation and Configuration: A Practitioner’s Guideline

    Martin Straesser, Simon Eismann, Jóakim Kistowski, André Bauer, and Samuel Kounev

    In Proceedings of the 14th ACM/SPEC International Conference on Performance Engineering (ICPE), Apr 2023

    Bib Website

    @inproceedings{strasser2023scaling,
      title = {{Autoscaler Evaluation and Configuration: A Practitioner's Guideline}},
      author = {Straesser, Martin and Eismann, Simon and von Kistowski, Jóakim and Bauer, André and Kounev, Samuel},
      year = {2023},
      month = apr,
      booktitle = {Proceedings of the 14th ACM/SPEC International Conference on Performance Engineering (ICPE)},
      publisher = {ACM},
      pages = {31–41},
      url = {https://doi.org/10.1145/3578244.3583721}
    }

17. Searching for the Ground Truth: Assessing the Similarity of Benchmarking Runs

    André Bauer, Martin Straesser, Mark Leznik, Lukas Beierlieb, Marius Hadry, Nathaniel Hudson, Kyle Chard, Samuel Kounev, and Ian Foster

    In Companion of the 14th ACM/SPEC International Conference on Performance Engineering (ICPE), Apr 2023

    Bib Website

    @inproceedings{bauer2023similiar,
      title = {{Searching for the Ground Truth: Assessing the Similarity of Benchmarking Runs}},
      author = {Bauer, André and Straesser, Martin and Leznik, Mark and Beierlieb, Lukas and Hadry, Marius and Hudson, Nathaniel and Chard, Kyle and Kounev, Samuel and Foster, Ian},
      year = {2023},
      month = apr,
      booktitle = {Companion of the 14th ACM/SPEC International Conference on Performance Engineering (ICPE)},
      publisher = {ACM},
      pages = {95–99},
      url = {https://doi.org/10.1145/3578245.3584693}
    }

18. Efficient Data Processing: Assessing the Performance of Different Programming Languages

    Lukas Beierlieb, André Bauer, Robert Leppich, Lukas Iffländer, and Samuel Kounev

    In Companion of the 14th ACM/SPEC International Conference on Performance Engineering (ICPE), Apr 2023

     Runner-up for Best Data Challenge Paper

    Bib Website

    @inproceedings{beierlieb2023efficient,
      title = {{Efficient Data Processing: Assessing the Performance of Different Programming Languages}},
      author = {Beierlieb, Lukas and Bauer, André and Leppich, Robert and Iffländer, Lukas and Kounev, Samuel},
      year = {2023},
      month = apr,
      booktitle = {Companion of the 14th ACM/SPEC International Conference on Performance Engineering (ICPE)},
      publisher = {ACM},
      pages = {83–87},
      url = {https://doi.org/10.1145/3578245.3584691},
      note = {Runner-up for Best Data Challenge Paper},
      award = {true}
    }

19. Impact of Prophylactic Preoperative Intra-Aortic Balloon Pump on Early Outcome in Patients with Severe Left Ventricular Dysfunction Undergoing Elective On-Pump Coronary Artery Bypass Grafting

    Andrej Kralev, Jurij M. Kalisnik, André Bauer, Joachim Sirch, Matthias Fittkau, and Theodor Fischlein

    The Thoracic and Cardiovascular Surgeon, Feb 2023

    Bib

    @article{kralev2023impact,
      title = {Impact of Prophylactic Preoperative Intra-Aortic Balloon Pump on Early Outcome in Patients with Severe Left Ventricular Dysfunction Undergoing Elective On-Pump Coronary Artery Bypass Grafting},
      author = {Kralev, Andrej and Kalisnik, Jurij M. and Bauer, André and Sirch, Joachim and Fittkau, Matthias and Fischlein, Theodor},
      year = {2023},
      month = feb,
      journal = {The Thoracic and Cardiovascular Surgeon},
      publisher = {Georg Thieme Verlag KG},
      volume = {71},
      number = {S 01},
      pages = {DGTHG--V06}
    }

20. Association between Postoperative Atrial Fibrillation Recurrences and Interatrial Block by the Time of Open-Heart Surgery

    Spela Leiler, Jurij M. Kalisnik, Rok Bernik, André Bauer, Valentin Günzler, Patrick Sluet, Samuel Kounev, and Theodor Fischlein

    The Thoracic and Cardiovascular Surgeon, Feb 2023

    Bib

    @article{leiler2023association,
      title = {Association between Postoperative Atrial Fibrillation Recurrences and Interatrial Block by the Time of Open-Heart Surgery},
      author = {Leiler, Spela and Kalisnik, Jurij M. and Bernik, Rok and Bauer, André and Günzler, Valentin and Sluet, Patrick and Kounev, Samuel and Fischlein, Theodor},
      year = {2023},
      month = feb,
      journal = {The Thoracic and Cardiovascular Surgeon},
      publisher = {Georg Thieme Verlag KG},
      volume = {71},
      number = {S 01},
      pages = {DGTHG--V130}
    }

2022

1. Libra: A Benchmark for Time Series Forecasting Methods

   André Bauer, and Samuel Kounev

   Oct 2022

   Accepted tool

   Bib Website

   @misc{libra-SPEC,
     title = {{Libra: A Benchmark for Time Series Forecasting Methods}},
     author = {Bauer, André and Kounev, Samuel},
     year = {2022},
     month = oct,
     url = {https://research.spec.org/tools/overview/libra/},
     note = {Accepted tool},
     howpublished = {Standard Performance Evaluation Corporation (SPEC) Research Group}
   }

2. Towards Forecasting Future Snow Cover Dynamics in the European Alps - The Potential of Long Optical Remote-Sensing Time Series

   Jonas Koehler, André Bauer, Andreas J. Dietz, and Claudia Kuenzer

   Remote Sensing, Sep 2022

   Bib Website

   @article{jonas2022,
     title = {Towards Forecasting Future Snow Cover Dynamics in the European Alps - The Potential of Long Optical Remote-Sensing Time Series},
     author = {Koehler, Jonas and Bauer, André and Dietz, Andreas J. and Kuenzer, Claudia},
     year = {2022},
     month = sep,
     journal = {Remote Sensing},
     volume = {14},
     number = {18},
     url = {https://www.mdpi.com/2072-4292/14/18/4461}
   }

3. A Survey on Secure Group Communication Schemes with Focus on IoT Communication

   Thomas Prantl, Timo Zeck, André Bauer, Peter Ten, Dominik Prantl, Ala E. Ben Yahya, Lukas Iffländer, Alexandra Dmitrienko, Christian Krupitzer, and Samuel Kounev

   IEEE Access, Sep 2022

   Bib Website

   @article{Prantl2023SGCSurvey,
     title = {A Survey on Secure Group Communication Schemes with Focus on IoT Communication},
     author = {Prantl, Thomas and Zeck, Timo and Bauer, André and Ten, Peter and Prantl, Dominik and Ben Yahya, Ala E. and Iffländer, Lukas and Dmitrienko, Alexandra and Krupitzer, Christian and Kounev, Samuel},
     year = {2022},
     month = sep,
     journal = {IEEE Access},
     publisher = {IEEE},
     volume = {10},
     number = {},
     pages = {99944--99962},
     url = {https://ieeexplore.ieee.org/document/9889732}
   }

4. An Experience Report on the Suitability of a Distributed Group Encryption Scheme for an IoT Use Case

   Thomas Prantl, Simon Engel, André Bauer, Ala E. Ben Yahya, Stefan Herrnleben, Lukas Iffländer, Alexandra Dmitrienko, and Samuel Kounev

   In Proceedings of the 95th IEEE Vehicular Technology Conference (VTC), Jun 2022

   Bib Website

   @inproceedings{PrEnBaAlHeIfDmKo2022,
     title = {An Experience Report on the Suitability of a Distributed Group Encryption Scheme for an IoT Use Case},
     author = {Prantl, Thomas and Engel, Simon and Bauer, André and Ben Yahya, Ala E. and Herrnleben, Stefan and Iffländer, Lukas and Dmitrienko, Alexandra and Kounev, Samuel},
     year = {2022},
     month = jun,
     booktitle = {Proceedings of the 95th IEEE Vehicular Technology Conference (VTC)},
     publisher = {IEEE},
     pages = {1--7},
     url = {https://ieeexplore.ieee.org/document/9860762}
   }

5. Artificial Intelligence-Based Early Detection Of Acute Kidney Injury After Cardiac Surgery

   Jurij M. Kalisnik, André Bauer, Ferdinand A. Vogt, Franziska J. Stickl, Janez Zibert, Matthias Fittkau, Thomas Bertsch, Samuel Kounev, and Theodor Fischlein

   European Journal of Cardio-Thoracic Surgery (EJCTS), May 2022

   Joint first authorship

   Bib Website

   @article{kalisnik2022artificial,
     title = {Artificial Intelligence-Based Early Detection Of Acute Kidney Injury After Cardiac Surgery},
     author = {Kalisnik, Jurij M. and Bauer, André and Vogt, Ferdinand A. and Stickl, Franziska J. and Zibert, Janez and Fittkau, Matthias and Bertsch, Thomas and Kounev, Samuel and Fischlein, Theodor},
     year = {2022},
     month = may,
     journal = {European Journal of Cardio-Thoracic Surgery (EJCTS)},
     volume = {62},
     number = {5},
     note = {Joint first authorship}
   }

6. Same, Same, but Dissimilar: Exploring Measurements for Workload Time-series Similarity

   Mark Leznik, Johannes Grohmann, Nina Kliche, André Bauer, Daniel Seybold, Simon Eismann, Samuel Kounev, and Jörg Domaschka

   In Proceedings of the 13th ACM/SPEC International Conference on Performance Engineering (ICPE), Apr 2022

   Read more Bib Website

   @inproceedings{leznik2022same,
     title = {{Same, Same, but Dissimilar: Exploring Measurements for Workload Time-series Similarity}},
     author = {Leznik, Mark and Grohmann, Johannes and Kliche, Nina and Bauer, André and Seybold, Daniel and Eismann, Simon and Kounev, Samuel and Domaschka, J{\"o}rg},
     year = {2022},
     month = apr,
     booktitle = {Proceedings of the 13th ACM/SPEC International Conference on Performance Engineering (ICPE)},
     publisher = {ACM},
     pages = {89–96},
     url = {https://dl.acm.org/doi/10.1145/3489525.3511699},
     numpages = {8}
   }

7. Why Is It Not Solved Yet? Challenges for Production-Ready Autoscaling

   Martin Straesser, Johannes Grohmann, Jóakim Kistowski, Simon Eismann, André Bauer, and Samuel Kounev

   In Proceedings of the 13th ACM/SPEC International Conference on Performance Engineering (ICPE), Apr 2022

    Best Industry Paper

   Read more Bib Website

   @inproceedings{strasser2022autoscaling,
     title = {{Why Is It Not Solved Yet? Challenges for Production-Ready Autoscaling}},
     author = {Straesser, Martin and Grohmann, Johannes and von Kistowski, Jóakim and Eismann, Simon and Bauer, André and Kounev, Samuel},
     year = {2022},
     month = apr,
     booktitle = {Proceedings of the 13th ACM/SPEC International Conference on Performance Engineering (ICPE)},
     publisher = {ACM},
     pages = {105–115},
     url = {https://dl.acm.org/doi/10.1145/3489525.3511680},
     note = {Best Industry Paper},
     numpages = {11},
     award = {true}
   }

8. Automated Triage of Performance Change Points Using Time Series Analysis and Machine Learning: Data Challenge Paper

   André Bauer, Martin Straesser, Lukas Beierlieb, Maximilian Meissner, and Samuel Kounev

   In Companion of the 13th ACM/SPEC on International Conference on Performance Engineering (ICPE), Apr 2022

   Bib Website

   @inproceedings{bauer2022automated,
     title = {Automated Triage of Performance Change Points Using Time Series Analysis and Machine Learning: Data Challenge Paper},
     author = {Bauer, André and Straesser, Martin and Beierlieb, Lukas and Meissner, Maximilian and Kounev, Samuel},
     year = {2022},
     month = apr,
     booktitle = {Companion of the 13th ACM/SPEC on International Conference on Performance Engineering (ICPE)},
     publisher = {ACM},
     pages = {29–32},
     url = {https://dl.acm.org/doi/abs/10.1145/3491204.3527486}
   }

9. Change Point Detection for MongoDB Time Series Performance Regression

   Mark Leznik, M. Shahriar Iqbal, Igor A. Trubin, Arne Lochner, Pooyan Jamshidi, and André Bauer

   In Companion of the 13th ACM/SPEC on International Conference on Performance Engineering (ICPE), Apr 2022

   Bib Website

   @inproceedings{leznik2022change,
     title = {Change Point Detection for MongoDB Time Series Performance Regression},
     author = {Leznik, Mark and Iqbal, M. Shahriar and Trubin, Igor A. and Lochner, Arne and Jamshidi, Pooyan and Bauer, André},
     year = {2022},
     month = apr,
     booktitle = {Companion of the 13th ACM/SPEC on International Conference on Performance Engineering (ICPE)},
     publisher = {ACM},
     pages = {45–48},
     url = {https://dl.acm.org/doi/10.1145/3491204.3527488}
   }

10. SPEC Research - Introducing the Predictive Data Analytics Working Group: Poster Paper

    André Bauer, Mark Leznik, Daniel Seybold, Igor A. Trubin, Benjamin Erb, Jörg Domaschka, and Pooyan Jamshidi

    In Companion of the 13th ACM/SPEC on International Conference on Performance Engineering (ICPE), Apr 2022

    Bib Website

    @inproceedings{bauer2022research,
      title = {SPEC Research - Introducing the Predictive Data Analytics Working Group: Poster Paper},
      author = {Bauer, André and Leznik, Mark and Seybold, Daniel and Trubin, Igor A. and Erb, Benjamin and Domaschka, Jörg and Jamshidi, Pooyan},
      year = {2022},
      month = apr,
      booktitle = {Companion of the 13th ACM/SPEC on International Conference on Performance Engineering (ICPE)},
      publisher = {ACM},
      pages = {13--14},
      url = {https://dl.acm.org/doi/10.1145/3491204.3527495}
    }

2021

1. Towards Splitting Monolithic Workflows into Serverless Functions and Estimating Their Run-Time in the Earth Observation Domain

   Dennis Kaiser, Bohdan Dovhan, André Bauer, and Samuel Kounev

   In Proceedings of the 12th Symposium on Software Performance (SSP), Nov 2021

   Bib Website

   @inproceedings{kaiser2021split,
     title = {{Towards Splitting Monolithic Workflows into Serverless Functions and Estimating Their Run-Time in the Earth Observation Domain}},
     author = {Kaiser, Dennis and Dovhan, Bohdan and Bauer, André and Kounev, Samuel},
     year = {2021},
     month = nov,
     booktitle = {Proceedings of the 12th Symposium on Software Performance (SSP)},
     url = {https://ceur-ws.org/Vol-3043/}
   }

2. Methodological Principles for Reproducible Performance Evaluation in Cloud Computing

   Alessandro V. Papadopoulos, Laurens Versluis, André Bauer, Nikolas Herbst, Jóakim Kistowski, Ahmed Ali-Eldin, Cristina Abad, J. Nelson Amaral, Petr Tuma, and Alexandru Iosup

   IEEE Transactions on Software Engineering (TSE), Aug 2021

   Bib Website

   @article{papadopoulos2019methodological,
     title = {{Methodological Principles for Reproducible Performance Evaluation in Cloud Computing}},
     author = {Papadopoulos, Alessandro V. and Versluis, Laurens and Bauer, André and Herbst, Nikolas and von Kistowski, Jóakim and Ali-Eldin, Ahmed and Abad, Cristina and Amaral, J. Nelson and Tuma, Petr and Iosup, Alexandru},
     year = {2021},
     month = aug,
     journal = {IEEE Transactions on Software Engineering (TSE)},
     publisher = {IEEE},
     volume = {47},
     number = {8},
     pages = {1528--1543},
     url = {https://ieeexplore.ieee.org/document/8758926},
   }

3. Toward a Definition for Serverless Computing

   Samuel Kounev, Cristina Abad, Ian Foster, Nikolas Herbst, Alexandru Iosup, Samer Al-Kiswany, Ahmed Ali-Eldin, Bartosz Balis, André Bauer, André B. Bondi, Kyle Chard, and  more

   Dagstuhl Reports, Jul 2021

   Bib Website

   @article{DagRep21201,
     title = {{Toward a Definition for Serverless Computing}},
     author = {Kounev, Samuel and Abad, Cristina and Foster, Ian and Herbst, Nikolas and Iosup, Alexandru and Al-Kiswany, Samer and Ali-Eldin, Ahmed and Balis, Bartosz and Bauer, André and Bondi, André B. and Chard, Kyle and more},
     year = {2021},
     month = jul,
     journal = {Dagstuhl Reports},
     publisher = {Schloss Dagstuhl -- Leibniz-Zentrum für Informatik},
     address = {Dagstuhl, Germany},
     volume = {11},
     number = {4},
     pages = {89},
     editor = {Abad, Cristina and Foster, Ian T. and Herbst, Nikolas and Iosup, Alexandru},
     url = {https://doi.org/10.4230/DagRep.11.4.34}
   }

4. SARDE: A Framework for Continuous and Self-Adaptive Resource Demand Estimation

   Johannes Grohmann, Simon Eismann, André Bauer, Simon Spinner, Johannes Blum, Nikolas Herbst, and Samuel Kounev

   ACM Transactions on Autonomous and Adaptive Systems (TAAS), Jun 2021

   Bib Website

   @article{sarde2020,
     title = {{SARDE: A Framework for Continuous and Self-Adaptive Resource Demand Estimation}},
     author = {Grohmann, Johannes and Eismann, Simon and Bauer, Andr\'{e} and Spinner, Simon and Blum, Johannes and Herbst, Nikolas and Kounev, Samuel},
     year = {2021},
     month = jun,
     journal = {ACM Transactions on Autonomous and Adaptive Systems (TAAS)},
     publisher = {ACM},
     volume = {15},
     number = {2},
     url = {https://dl.acm.org/doi/abs/10.1145/3463369},
     issue_date = {June 2021},
     articleno = {6},
     numpages = {31}
   }

5. Libra: A Benchmark for Time Series Forecasting Methods

   André Bauer, Marwin Züfle, Simon Eismann, Johannes Grohmann, Nikolas Herbst, and Samuel Kounev

   In Proceedings of the 12th ACM/SPEC International Conference on Performance Engineering (ICPE), Apr 2021

   Read more Bib Website

   @inproceedings{bauer2021benchmark,
     title = {{Libra: A Benchmark for Time Series Forecasting Methods}},
     author = {Bauer, André and Züfle, Marwin and Eismann, Simon and Grohmann, Johannes and Herbst, Nikolas and Kounev, Samuel},
     year = {2021},
     month = apr,
     day = {19--23},
     booktitle = {Proceedings of the 12th ACM/SPEC International Conference on Performance Engineering (ICPE)},
     publisher = {ACM},
     url = {https://dl.acm.org/doi/10.1145/3427921.3450241},
     numpages = {12},
   }

6. Benchmarking of Pre- and Post-Quantum Group Encryption Schemes with Focus on IoT

   Thomas Prantl, Dominik Prantl, André Bauer, Lukas Iffländer, Alexandra Dmitrienko, Christian Krupitzer, and Samuel Kounev

   In Proceedings of the 40th IEEE International Performance Computing and Communications Conference (IPCCC), Apr 2021

   Bib Website

   @inproceedings{prantl2021crypto,
     title = {Benchmarking of Pre- and Post-Quantum Group Encryption Schemes with Focus on IoT},
     author = {Prantl, Thomas and Prantl, Dominik and Bauer, André and Iffl{\"a}nder, Lukas and Dmitrienko, Alexandra and Krupitzer, Christian and Kounev, Samuel},
     year = {2021},
     booktitle = {Proceedings of the 40th IEEE International Performance Computing and Communications Conference (IPCCC)},
     pages = {1--10},
     url = {https://ieeexplore.ieee.org/document/9679365}
   }

7. Automatisierte Hybride Zeitreihenprognose

   André Bauer

   In Ausgezeichnete Informatikdissertationen 2020, Apr 2021

   Bib Website

   @inproceedings{mci/Bauer2021,
     title = {Automatisierte Hybride Zeitreihenprognose},
     author = {Bauer, André},
     year = {2021},
     booktitle = {Ausgezeichnete Informatikdissertationen 2020},
     publisher = {Gesellschaft für Informatik e.V},
     address = {Bonn},
     pages = {29--38},
     url = {https://dl.gi.de/handle/20.500.12116/37916},
     editor = {Hölldobler, Steffen}
   }

2020

1. Automated Hybrid Time Series Forecasting: Design, Benchmarking, and Use Cases

   André Bauer

   Dec 2020

   Doctoral thesis

   Bib Website

   @phdthesis{diss,
     title = {Automated Hybrid Time Series Forecasting: Design, Benchmarking, and Use Cases},
     author = {Bauer, André},
     year = {2020},
     month = dec,
     url = {https://opus.bibliothek.uni-wuerzburg.de/frontdoor/index/index/docId/22025},
     note = {Doctoral thesis},
     type = {Dissertation},
     school = {Universit{\"a}t W{\"u}rzburg}
   }

2. Time Series Forecasting for Self-Aware Systems

   André Bauer, Marwin Züfle, Nikolas Herbst, Albin Zehe, Andreas Hotho, and Samuel Kounev

   Proceedings of the IEEE, Jul 2020

   Bib Website

   @article{BaZuHeZeHoKo2020-PIEEE-Forecasting,
     title = {{Time Series Forecasting for Self-Aware Systems}},
     author = {Bauer, André and Züfle, Marwin and Herbst, Nikolas and Zehe, Albin and Hotho, Andreas and Kounev, Samuel},
     year = {2020},
     month = jul,
     journal = {Proceedings of the IEEE},
     publisher = {IEEE},
     volume = {108},
     number = {7},
     pages = {1068--1093},
     url = {https://ieeexplore.ieee.org/document/9069193},
     keywords = {Time series forecasting, self-aware computing, eature engineering, forecasting competition, time series analysis},
   }

3. An Automated Forecasting Framework based on Method Recommendation for Seasonal Time Series

   André Bauer, Marwin Züfle, Johannes Grohmann, Norbert Schmitt, Nikolas Herbst, and Samuel Kounev

   In Proceedings of the 11th ACM/SPEC International Conference on Performance Engineering (ICPE), Apr 2020

   Read more Bib Website

   @inproceedings{bauer2020seasonalforecast,
     title = {{An Automated Forecasting Framework based on Method Recommendation for Seasonal Time Series}},
     author = {Bauer, André and Züfle, Marwin and Grohmann, Johannes and Schmitt, Norbert and Herbst, Nikolas and Kounev, Samuel},
     year = {2020},
     month = apr,
     day = {20--24},
     booktitle = {Proceedings of the 11th ACM/SPEC International Conference on Performance Engineering (ICPE)},
     publisher = {ACM},
     pages = {48--55},
     url = {https://dl.acm.org/doi/abs/10.1145/3358960.3379123},
     numpages = {8}
   }

4. Telescope: An Automatic Feature Extraction and Transformation Approach for Time Series Forecasting on a Level-Playing Field

   André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev, and Valentin Curtef

   In Proceedings of the 36th IEEE International Conference on Data Engineering (ICDE), Apr 2020

   Bib Website

   @inproceedings{bauer2020telescope,
     title = {{Telescope: An Automatic Feature Extraction and Transformation Approach for Time Series Forecasting on a Level-Playing Field}},
     author = {Bauer, André and Züfle, Marwin and Herbst, Nikolas and Kounev, Samuel and Curtef, Valentin},
     year = {2020},
     month = apr,
     day = {20-24},
     booktitle = {Proceedings of the 36th IEEE International Conference on Data Engineering (ICDE)},
     publisher = {IEEE},
     volume = {},
     number = {},
     pages = {1902--1905},
     issn = {},
     url = {https://ieeexplore.ieee.org/document/9101575},
     keywords = {Automatic feature extraction, Combining forecasts, Comparative studies, Forecasting competitions, Long term time series forecasting, Time series},
   }

5. Elasticity of Cloud Platforms

   Nikolas Herbst, André Bauer, and Samuel Kounev

   In Systems Benchmarking: For Scientists and Engineers, Jan 2020

   Bib

   @inproceedings{bauer2020bookelasticity,
     title = {{Elasticity of Cloud Platforms}},
     author = {Herbst, Nikolas and Bauer, André and Kounev, Samuel},
     year = {2020},
     month = jan,
     booktitle = {{Systems Benchmarking: For Scientists and Engineers}},
     publisher = {Springer},
     pages = {319--340},
     editor = {Kounev, Samuel and Lange, Klaus-Dieter and von Kistowski, Jóakim}
   }

6. Methodological Principles for Reproducible Performance Evaluation in Cloud Computing

   Alessandro V. Papadopoulos, Laurens Versluis, André Bauer, Nikolas Herbst, Jóakim Kistowski, Ahmed Ali-Eldin, Cristina Abad, J. Nelson Amaral, Petr Tuma, and Alexandru Iosup

   In Software Engineering 2020, Fachtagung des GI-Fachbereichs Softwaretechnik, Jan 2020

   Bib

   @inproceedings{PapadopoulosVBH20,
     title = {{Methodological Principles for Reproducible Performance Evaluation in Cloud Computing}},
     author = {Papadopoulos, Alessandro V. and Versluis, Laurens and Bauer, André and Herbst, Nikolas and von Kistowski, Jóakim and Ali-Eldin, Ahmed and Abad, Cristina and Amaral, J. Nelson and Tuma, Petr and Iosup, Alexandru},
     year = {2020},
     booktitle = {Software Engineering 2020, Fachtagung des GI-Fachbereichs Softwaretechnik},
     publisher = {Gesellschaft f{\"u}r Informatik e.V},
     pages = {93--94}
   }

2019

1. Kaa: Evaluating Elasticity of Cloud-Hosted DBMS

   Daniel Seybold, Simon Volpert, Stefan Wesner, André Bauer, Nikolas Herbst, and Jörg Domaschka

   In Proceedings of the 11th IEEE International Conference on Cloud Computing (CloudCom), Dec 2019

   Bib Website

   @inproceedings{seybold2019kaa,
     title = {{Kaa: Evaluating Elasticity of Cloud-Hosted DBMS}},
     author = {Seybold, Daniel and Volpert, Simon and Wesner, Stefan and Bauer, André and Herbst, Nikolas and Domaschka, Jörg},
     year = {2019},
     month = dec,
     booktitle = {Proceedings of the 11th IEEE International Conference on Cloud Computing (CloudCom)},
     publisher = {IEEE},
     volume = {},
     number = {},
     pages = {54--61},
     url = {https://ieeexplore.ieee.org/document/8968865}
   }

2. The SPEC-RG Reference Architecture for FaaS: From Microservices and Containers to Serverless Platforms

   Erwin Eyk, Johannes Grohmann, Simon Eismann, André Bauer, Laurens Versluis, Lucian Toader, Norbert Schmitt, Nikolas Herbst, Cristina Abad, and Alexandru Iosup

   IEEE Internet Computing, Nov 2019

   Bib Website

   @article{van2019spec,
     title = {{The SPEC-RG Reference Architecture for FaaS: From Microservices and Containers to Serverless Platforms}},
     author = {van Eyk, Erwin and Grohmann, Johannes and Eismann, Simon and Bauer, André and Versluis, Laurens and Toader, Lucian and Schmitt, Norbert and Herbst, Nikolas and Abad, Cristina and Iosup, Alexandru},
     year = {2019},
     month = nov,
     journal = {IEEE Internet Computing},
     publisher = {IEEE},
     volume = {23},
     number = {6},
     pages = {7--18},
     url = {https://ieeexplore.ieee.org/document/8894540}
   }

3. TeaStore

   Jóakim Kistowski, Simon Eismann, Norbert Schmitt, André Bauer, Johannes Grohmann, Long Bui, and Samuel Kounev

   Nov 2019

   Accepted tool

   Bib Website

   @misc{von2018teastore-SPEC,
     title = {{TeaStore}},
     author = {von Kistowski, Jóakim and Eismann, Simon and Schmitt, Norbert and Bauer, André and Grohmann, Johannes and Bui, Long and Kounev, Samuel},
     year = {2019},
     month = nov,
     url = {https://research.spec.org/tools/overview/teastore/},
     note = {Accepted tool},
     howpublished = {Standard Performance Evaluation Corporation (SPEC) Research Group}
   }

4. Chamulteon: Coordinated Auto-Scaling of Micro-Services

   André Bauer, Veronika Lesch, Laurens Versluis, Alexey Ilyushkin, Nikolas Herbst, and Samuel Kounev

   In Proceedings of the 39th IEEE International Conference on Distributed Computing Systems (ICDCS), Jul 2019

   Bib Website

   @inproceedings{bauer2019chamulteon,
     title = {{Chamulteon: Coordinated Auto-Scaling of Micro-Services}},
     author = {Bauer, André and Lesch, Veronika and Versluis, Laurens and Ilyushkin, Alexey and Herbst, Nikolas and Kounev, Samuel},
     year = {2019},
     month = jul,
     booktitle = {Proceedings of the 39th IEEE International Conference on Distributed Computing Systems (ICDCS)},
     publisher = {IEEE},
     pages = {2015--2025},
     url = {https://ieeexplore.ieee.org/document/8885153}
   }

5. Utilizing Clustering to Optimize Resource Demand Estimation Approaches

   Johannes Grohmann, Simon Eismann, André Bauer, Marwin Züfle, Nikolas Herbst, and Samuel Kounev

   In Proceedings of the 4th IEEE International Workshops on Foundations and Applications of Self* Systems (FAS*W), Jun 2019

   Bib Website

   @inproceedings{grohmann2019utilizing,
     title = {{Utilizing Clustering to Optimize Resource Demand Estimation Approaches}},
     author = {Grohmann, Johannes and Eismann, Simon and Bauer, André and Züfle, Marwin and Herbst, Nikolas and Kounev, Samuel},
     year = {2019},
     month = jun,
     booktitle = {Proceedings of the 4th IEEE International Workshops on Foundations and Applications of Self* Systems (FAS*W)},
     publisher = {IEEE},
     pages = {134--139},
     url = {https://ieeexplore.ieee.org/document/8791964}
   }

6. Autonomic Forecasting Method Selection: Examination and Ways Ahead

   Marwin Züfle, André Bauer, Veronika Lesch, Christian Krupitzer, Nikolas Herbst, Samuel Kounev, and Valentin Curtef

   In Proceedings of the 16th IEEE International Conference on Autonomic Computing (ICAC), Jun 2019

   Bib Website

   @inproceedings{zuefle2019autonomic,
     title = {{Autonomic Forecasting Method Selection: Examination and Ways Ahead}},
     author = {Züfle, Marwin and Bauer, André and Lesch, Veronika and Krupitzer, Christian and Herbst, Nikolas and Kounev, Samuel and Curtef, Valentin},
     year = {2019},
     month = jun,
     booktitle = {Proceedings of the 16th IEEE International Conference on Autonomic Computing (ICAC)},
     publisher = {IEEE},
     pages = {167--176},
     url = {https://ieeexplore.ieee.org/document/8831197}
   }

7. Systematic Search for Optimal Resource Configurations of Distributed Applications

   André Bauer, Simon Eismann, Johannes Grohmann, Nikolas Herbst, and Samuel Kounev

   In Proceedings of the 4th IEEE International Workshops on Foundations and Applications of Self* Systems (FAS*W), Jun 2019

   Bib Website

   @inproceedings{bauer2019systematic,
     title = {{Systematic Search for Optimal Resource Configurations of Distributed Applications}},
     author = {Bauer, André and Eismann, Simon and Grohmann, Johannes and Herbst, Nikolas and Kounev, Samuel},
     year = {2019},
     month = jun,
     booktitle = {Proceedings of the 4th IEEE International Workshops on Foundations and Applications of Self* Systems (FAS*W)},
     publisher = {IEEE},
     pages = {120--125},
     url = {https://ieeexplore.ieee.org/document/8791971}
   }

8. Best Practices for Time Series Forecasting (Tutorial)

   André Bauer, Marwin Züfle, Nikolas Herbst, and Samuel Kounev

   In Proceedings of the 4th IEEE International Workshops on Foundations and Applications of Self* Systems (FAS* W), Jun 2019

   Bib Website

   @inproceedings{bauer2019best,
     title = {{Best Practices for Time Series Forecasting (Tutorial)}},
     author = {Bauer, André and Züfle, Marwin and Herbst, Nikolas and Kounev, Samuel},
     year = {2019},
     month = jun,
     booktitle = {Proceedings of the 4th IEEE International Workshops on Foundations and Applications of Self* Systems (FAS* W)},
     publisher = {IEEE},
     pages = {255--256},
     url = {https://ieeexplore.ieee.org/document/8791957}
   }

9. Modeling of Aggregated IoT Traffic and its Application to an IoT Cloud

   Florian Metzger, Tobias Hoßfeld, André Bauer, Samuel Kounev, and Poul E. Heegaard

   Proceedings of the IEEE, Apr 2019

   Bib Website

   @article{metzger2019modeling,
     title = {{Modeling of Aggregated IoT Traffic and its Application to an IoT Cloud}},
     author = {Metzger, Florian and Ho{\ss}feld, Tobias and Bauer, André and Kounev, Samuel and Heegaard, Poul E.},
     year = {2019},
     month = apr,
     journal = {Proceedings of the IEEE},
     publisher = {IEEE},
     volume = {107},
     number = {4},
     pages = {679--694},
     url = {https://ieeexplore.ieee.org/document/8674845}
   }

10. Challenges and Approaches: Forecasting for Autonomic Computing

    André Bauer

    In Organic Computing: Doctoral Dissertation Colloquium 2018, Apr 2019

    Bib

    @inproceedings{bauer2019challenges,
      title = {{Challenges and Approaches: Forecasting for Autonomic Computing}},
      author = {Bauer, André},
      year = {2019},
      month = apr,
      booktitle = {{Organic Computing: Doctoral Dissertation Colloquium 2018}},
      publisher = {kassel university press GmbH},
      volume = {13},
      pages = {3--19},
      editor = {Tomforde, Sven and Sick, Bernhard}
    }

11. Methodological Principles for Reproducible Performance Evaluation in Cloud Computing - A SPEC Research Technical Report

    Alessandro V. Papadopoulos, Laurens Versluis, André Bauer, Nikolas Herbst, Jóakim Kistowski, Ahmed Ali-Eldin, Cristina Abad, J. Nelson Amaral, Petr Tuma, and Alexandru Iosup

    Apr 2019

    Bib Website

      title = {{Methodological Principles for Reproducible Performance Evaluation in Cloud Computing - A SPEC Research Technical Report}},
      author = {Papadopoulos, Alessandro V. and Versluis, Laurens and Bauer, André and Herbst, Nikolas and von Kistowski, Jóakim and Ali-Eldin, Ahmed and Abad, Cristina and Amaral, J. Nelson and Tuma, Petr and Iosup, Alexandru},
      year = {2019},
      month = apr,
      number = {SPEC-RG-2019-04},
      institution = {SPEC Research Group --- Cloud Working Group, Standard Performance Evaluation Corporation (SPEC)}
    }

12. Online Power Consumption Estimation for Functions in Cloud Applications

    Norbert Schmitt, Lukas Iffländer, André Bauer, and Samuel Kounev

    In Proceedings of the 16th IEEE International Conference on Autonomic Computing (ICAC), Apr 2019

    Bib Website

    @inproceedings{schmitt2019online,
      title = {{Online Power Consumption Estimation for Functions in Cloud Applications}},
      author = {Schmitt, Norbert and Iffländer, Lukas and Bauer, André and Kounev, Samuel},
      year = {2019},
      booktitle = {Proceedings of the 16th IEEE International Conference on Autonomic Computing (ICAC)},
      publisher = {IEEE},
      pages = {63--72},
      url = {https://ieeexplore.ieee.org/document/8831214}
    }

13. Performance-Feedback Autoscaling with Budget Constraints for Cloud-Based Workloads of Workflows

    Alexey Ilyushkin, André Bauer, Alessandro V. Papadopoulos, Ewa Deelman, and Alexandru Iosup

    arXiv preprint arXiv:1905.10270, Apr 2019

    Bib Website

    @article{ilyushkin2019performance,
      title = {{Performance-Feedback Autoscaling with Budget Constraints for Cloud-Based Workloads of Workflows}},
      author = {Ilyushkin, Alexey and Bauer, André and Papadopoulos, Alessandro V. and Deelman, Ewa and Iosup, Alexandru},
      year = {2019},
      journal = {arXiv preprint arXiv:1905.10270},
    }

2018

1. TeaStore: A Micro-Service Reference Application for Cloud Researchers (Poster Paper)

   Simon Eismann, Jóakim Kistowski, Johannes Grohmann, André Bauer, Norbert Schmitt, Nikolas Herbst, and Samuel Kounev

   In Companion of 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC), Dec 2018

   Bib Website

   @inproceedings{eismann2018teastore,
     title = {{TeaStore: A Micro-Service Reference Application for Cloud Researchers}},
     author = {Eismann, Simon and von Kistowski, Jóakim and Grohmann, Johannes and Bauer, André and Schmitt, Norbert and Herbst, Nikolas and Kounev, Samuel},
     year = {2018},
     month = dec,
     booktitle = {Companion of 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC)},
     publisher = {IEEE},
     pages = {11--12},
     url = {https://ieeexplore.ieee.org/document/8605744},
     titleaddon = {{(Poster Paper)}}
   }

2. Chameleon: A Hybrid, Proactive Auto-Scaling Mechanism on a Level-Playing Field

   André Bauer, Nikolas Herbst, Simon Spinner, Ahmed Ali-Eldin, and Samuel Kounev

   IEEE Transactions on Parallel and Distributed Systems (TPDS), Sep 2018

   Bib Website

   @article{bauer2018chameleon,
     title = {{Chameleon: A Hybrid, Proactive Auto-Scaling Mechanism on a Level-Playing Field}},
     author = {Bauer, André and Herbst, Nikolas and Spinner, Simon and Ali-Eldin, Ahmed and Kounev, Samuel},
     year = {2018},
     month = sep,
     journal = {IEEE Transactions on Parallel and Distributed Systems (TPDS)},
     publisher = {IEEE},
     volume = {30},
     number = {4},
     pages = {800--813},
     url = {https://ieeexplore.ieee.org/document/8465991}
   }

3. Quantifying Cloud Performance and Dependability: Taxonomy, Metric Design, and Emerging Challenges

   Nikolas Herbst, André Bauer, Samuel Kounev, Giorgos Oikonomou, Erwin van Eyk, George Kousiouris, Athanasia Evangelinou, Rouven Krebs, Tim Brecht, Cristina Abad, and Alexandru Iosup

   ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS), Aug 2018

   Bib Website

   @article{herbst2018quantifying,
     title = {{Quantifying Cloud Performance and Dependability: Taxonomy, Metric Design, and Emerging Challenges}},
     author = {Herbst, Nikolas and Bauer, André and Kounev, Samuel and Oikonomou, Giorgos and Eyk, Erwin van and Kousiouris, George and Evangelinou, Athanasia and Krebs, Rouven and Brecht, Tim and Abad, Cristina and Iosup, Alexandru},
     year = {2018},
     month = aug,
     journal = {ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS)},
     publisher = {ACM},
     volume = {3},
     number = {4},
     pages = {19},
     url = {https://dl.acm.org/doi/10.1145/3236332}
   }

4. An Experimental Performance Evaluation of Autoscalers for Complex Workflows

   Alexey Ilyushkin, Ahmed Ali-Eldin, Nikolas Herbst, André Bauer, Alessandro V. Papadopoulos, Dick Epema, and Alexandru Iosup

   ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS), Apr 2018

   Bib Website

   @article{ilyushkin2018experimental,
     title = {{An Experimental Performance Evaluation of Autoscalers for Complex Workflows}},
     author = {Ilyushkin, Alexey and Ali-Eldin, Ahmed and Herbst, Nikolas and Bauer, André and Papadopoulos, Alessandro V. and Epema, Dick and Iosup, Alexandru},
     year = {2018},
     month = apr,
     journal = {ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS)},
     publisher = {ACM},
     volume = {3},
     number = {2},
     pages = {1--32},
     url = {https://dl.acm.org/doi/10.1145/3164537},
     numpages = {30}
   }

5. TeaStore: A Micro-Service Reference Application for Benchmarking, Modeling and Resource Management Research

   Jóakim Kistowski, Simon Eismann, Norbert Schmitt, André Bauer, Johannes Grohmann, and Samuel Kounev

   In Proceedings of the 26th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), Apr 2018

   Bib Website

   @inproceedings{von2018teastore,
     title = {{TeaStore: A Micro-Service Reference Application for Benchmarking, Modeling and Resource Management Research}},
     author = {von Kistowski, Jóakim and Eismann, Simon and Schmitt, Norbert and Bauer, André and Grohmann, Johannes and Kounev, Samuel},
     year = {2018},
     booktitle = {Proceedings of the 26th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS)},
     publisher = {IEEE},
     pages = {223--236},
     url = {https://ieeexplore.ieee.org/document/8526888}
   }

6. On the Value of Service Demand Estimation for Auto-Scaling

   André Bauer, Johannes Grohmann, Nikolas Herbst, and Samuel Kounev

   In Proceedings of the 19th International GI/ITG Conference on Measurement, Modelling and Evaluation of Computing Systems (MMB), Apr 2018

   Bib Website

   @inproceedings{bauer2018value,
     title = {{On the Value of Service Demand Estimation for Auto-Scaling}},
     author = {Bauer, André and Grohmann, Johannes and Herbst, Nikolas and Kounev, Samuel},
     year = {2018},
     booktitle = {Proceedings of the 19th International GI/ITG Conference on Measurement, Modelling and Evaluation of Computing Systems (MMB)},
     publisher = {Springer},
     pages = {142--156},
     url = {https://link.springer.com/chapter/10.1007/978-3-319-74947-1_10}
   }

7. FOX: Cost-Awareness for Autonomic Resource Management in Public Clouds

   Veronika Lesch, André Bauer, Nikolas Herbst, and Samuel Kounev

   In Proceedings of the 9th ACM/SPEC International Conference on Performance Engineering (ICPE), Apr 2018

   Bib Website

   @inproceedings{lesch2018fox,
     title = {{FOX: Cost-Awareness for Autonomic Resource Management in Public Clouds}},
     author = {Lesch, Veronika and Bauer, André and Herbst, Nikolas and Kounev, Samuel},
     year = {2018},
     booktitle = {Proceedings of the 9th ACM/SPEC International Conference on Performance Engineering (ICPE)},
     publisher = {ACM},
     pages = {4--15},
     url = {https://dl.acm.org/doi/abs/10.1145/3184407.3184415}
   }

2017

1. Design and Evaluation of a Proactive, Application-Aware Auto-Scaler: Tutorial Paper

   André Bauer, Nikolas Herbst, and Samuel Kounev

   In Proceedings of the 8th ACM/SPEC International Conference on Performance Engineering (ICPE), Apr 2017

   Bib Website

   @inproceedings{bauer2017design,
     title = {{Design and Evaluation of a Proactive, Application-Aware Auto-Scaler: Tutorial Paper}},
     author = {Bauer, André and Herbst, Nikolas and Kounev, Samuel},
     year = {2017},
     booktitle = {Proceedings of the 8th ACM/SPEC International Conference on Performance Engineering (ICPE)},
     publisher = {ACM},
     pages = {425--428},
     url = {https://dl.acm.org/doi/10.1145/3030207.3053678}
   }

2. Telescope: A Hybrid Forecast Method for Univariate Time Series

   Marwin Züfle, André Bauer, Nikolas Herbst, Valentin Curtef, and Samuel Kounev

   In Proceedings of the 4th International Work-Conference on Time Series (ITISE), Apr 2017

   Bib

   @inproceedings{zufle2017telescope,
     title = {{Telescope: A Hybrid Forecast Method for Univariate Time Series}},
     author = {Züfle, Marwin and Bauer, André and Herbst, Nikolas and Curtef, Valentin and Kounev, Samuel},
     year = {2017},
     booktitle = {Proceedings of the 4th International Work-Conference on Time Series (ITISE)}
   }