Publications

All publications are listed in reversed chronological order.

2024

  1. 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
  2. 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
  3. 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
  4. 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, Jan 2024

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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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, Feb 2023

2022

  1. Libra: A Benchmark for Time Series Forecasting Methods
    André Bauer, and Samuel Kounev
    Oct 2022
    Accepted tool
  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
  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
  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
  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
  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
  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
  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
  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
  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

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
  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
  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
  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
  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
  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
  7. Automatisierte Hybride Zeitreihenprognose
    André Bauer
    In Ausgezeichnete Informatikdissertationen 2020, Apr 2021

2020

  1. Automated Hybrid Time Series Forecasting: Design, Benchmarking, and Use Cases
    André Bauer
    Dec 2020
    Doctoral thesis
  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
  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
  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
  5. Elasticity of Cloud Platforms
    Nikolas Herbst, André Bauer, and Samuel Kounev
    In Systems Benchmarking: For Scientists and Engineers, Jan 2020
  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

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
  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
  3. TeaStore
    Jóakim Kistowski, Simon Eismann, Norbert Schmitt, André Bauer, Johannes Grohmann, Long Bui, and Samuel Kounev
    Nov 2019
    Accepted tool
  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
  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
  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
  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
  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
  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
  10. Challenges and Approaches: Forecasting for Autonomic Computing
    André Bauer
    In Organic Computing: Doctoral Dissertation Colloquium 2018, Apr 2019
  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
  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
  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
    Apr 2019

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
  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
  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
  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
  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
  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
  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

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
  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