Publications

All publications are in reversed chronological order.

2025

  1. Generating Executable Microservice Applications for Performance Benchmarking
    Yannik Lubas, Martin Straesser, André Bauer, and Samuel Kounev
    In Proceedings of the 16th ACM/SPEC International Conference on Performance Engineering (ICPE), May 2025
    Bib Website
  2. Quantifying Data Leakage in Failure Prediction Tasks
    Daniel Grillmeyer, Marius Hadry, Veronika Lesch, Vanessa Borst, Robert Leppich, André Bauer, and Samuel Kounev
    In Proceedings of the 16th ACM/SPEC International Conference on Performance Engineering (ICPE), May 2025
    Bib Website
  3. Bridging Clusters: A Comparative Look at Multicluster Networking Performance in Kubernetes
    Sai Sindhur Malleni, Raúl Sevilla, José Castillo Lema, and André Bauer
    In Proceedings of the 16th ACM/SPEC International Conference on Performance Engineering (ICPE), May 2025
    Bib Website
  4. Challenges in the Evaluation of Earth Observation Products: Accuracy Assessment Case Study Using Convolutional Neural Networks
    Thomas Prantl, Til Barthel, Dennis Kaiser, Maximilian Schwinger, André Bauer, and Samuel Kounev
    Remote Sensing Applications: Society and Environment, May 2025
    Bib Website

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
  2. Object Proxy Patterns for Accelerating Distributed Applications
    J. Gregory Pauloski, Valerie Hayot-Sasson, Logan Ward, Alexander Brace, André Bauer, Kyle Chard, and Ian Foster
    IEEE Transactions on Parallel and Distributed Systems, Dec 2024
    Bib Website
  3. Preoperative Interatrial Block is Associated with Postoperative Atrial Fibrillation After Cardiac Surgery
    Spela Leiler, André Bauer, Wolfgang Hitzl, Rok Bernik, Valentin Guenzler, Matthias Angerer, Theodor Fischlein, and Jurij Matija Kalisnik
    Interdisciplinary CardioVascular and Thoracic Surgery, Dec 2024
    Bib Website
  4. 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
  5. Interatrial block is an independent risk factor new-onset atrial fibrillation after cardiac surgery
    Spela Leiler, André Bauer, Wolfgang Hitzl, Valentin Guenzler, Matthias Angerer, Theodor Fischlein, and Jurij Matija Kalisnik
    JTCVS Open, Oct 2024
    Bib Website
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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

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
  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
  3. 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 1st CA Workshop on Attributing Model Behavior at Scale (ATTRIB), Dec 2023
    Bib
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
     Runner-up for Best Data Challenge Paper
    Awarded Bib Website
  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
  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

2022

  1. Libra: A Benchmark for Time Series Forecasting Methods
    André Bauer, and Samuel Kounev
    Oct 2022
    Accepted tool
    Accepted tool
    Bib Website
  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
  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
  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
  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
    Joint first authorship
    Bib Website
  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
  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
     Best Industry Paper
    Awarded Read more Bib Website
  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
  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
  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

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

2020

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

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

2018

  1. TeaStore: A Micro-Service Reference Application for Cloud Researchers
    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
  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
  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
  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
  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
  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
  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

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
  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