André Bauer

94 papers A* 1A 3B 17C 5Journal 38Unranked 28
YearRankTypeTitle / Venue / Authors
2026 B conf
Evaluating Kubernetes Performance for GenAI Inference: From Automatic Speech Recognition to LLM Summarization.
ICPE
Sai Sindhur Malleni, Raul Sevilla Canavate, Aleksei Vasilevskii, José Castillo Lema, André Bauer
2026 J jnl
Evaluating Kubernetes Performance for GenAI Inference: From Automatic Speech Recognition to LLM Summarization.
CoRR
Sai Sindhur Malleni, Raul Sevilla Canavate, Aleksei Vasilevskii, José Castillo Lema, André Bauer
2026 J jnl
Proactive Routing to Interpretable Surrogates with Distribution-Free Safety Guarantees.
CoRR
Iqtedar Uddin, Mazin Khider, André Bauer
2025 J jnl
A Case Study on the Value of Simulated and Synthetic Microservice Applications for Performance Model Training.
Softwaretechnik-Trends
Yannik Lubas, Martin Straesser, Ivo Rohwer, André Bauer, Samuel Kounev
2025 A conf
Addressing Reproducibility Challenges in HPC with Continuous Integration.
SC
Valérie Hayot-Sasson, Nathaniel Hudson, André Bauer, Maxime Gonthier, Ian T. Foster, Kyle Chard
2025 J jnl
Addressing Reproducibility Challenges in HPC with Continuous Integration.
CoRR
Valérie Hayot-Sasson, Nathaniel Hudson, André Bauer, Maxime Gonthier, Ian T. Foster, Kyle Chard
2025 B conf
An Empirical Study on Transient Phases of Microservice Applications.
MASCOTS
Ivo Rohwer, Martin Straesser, Yannik Lubas, Samuel Kounev, André Bauer
2025 B conf
Bridging Clusters: A Comparative Look at Multi-Cluster Networking Performance in Kubernetes.
ICPE
Sai Sindhur Malleni, Raul Sevilla Canavate, José Castillo Lema, André Bauer
2025 A conf
Core Hours and Carbon Credits: Incentivizing Sustainability in HPC.
SC
Alok Kamatar, Maxime Gonthier, Valérie Hayot-Sasson, André Bauer, Marcin Copik, Raul Castro Fernandez, Torsten Hoefler, Kyle Chard, Ian T. Foster
2025 J jnl
Core Hours and Carbon Credits: Incentivizing Sustainability in HPC.
CoRR
Alok Kamatar, Maxime Gonthier, Valérie Hayot-Sasson, André Bauer, Marcin Copik, Torsten Hoefler, Raul Castro Fernandez, Kyle Chard, Ian T. Foster
2025 J jnl
Decomposing the Time Series Forecasting Pipeline: A Modular Approach for Time Series Representation, Information Extraction, and Projection.
CoRR
Robert Leppich, Michael Stenger, André Bauer, Samuel Kounev
2025 — conf
Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption.
eScience
Moontaha Nishat Chowdhury, André Bauer, Minxuan Zhou
2025 J jnl
Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption.
CoRR
Moontaha Nishat Chowdhury, André Bauer, Minxuan Zhou
2025 — conf
EvoAgents: Generative AI for Rapid Architecture Search in Cell Nuclei Detection.
eScience
Samantha Alonso, André Bauer
2025 — conf
Finding the Sweet Spot: Speed vs. Fidelity in Encrypted LLMs via Proxy Simulation.
eScience
Rajan Savani, Anwar Benhnini, André Bauer
2025 B conf
Generating Executable Microservice Applications for Performance Benchmarking.
ICPE
Yannik Lubas, Martin Straesser, André Bauer, Samuel Kounev
2025 — conf
HotCloudPerf'25 Workshop Chairs' Welcome.
ICPE (Companion)
Klervie Toczé, André Bauer, Dragi Kimovski, Daniele Bonetta
2025 — conf
Microservice Applications and Their Workloads on GitHub.
ICPE (Companion)
Yannik Lubas, Martin Straesser, Ivo Rohwer, Samuel Kounev, André Bauer
2025 J jnl
Object Proxy Patterns for Accelerating Distributed Applications.
IEEE Trans. Parallel Distributed Syst.
J. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Alexander Brace, André Bauer, Kyle Chard, Ian T. Foster
2025 B conf
Quantifying Data Leakage in Failure Prediction Tasks.
ICPE
Daniel Grillmeyer, Marius Hadry, Veronika Lesch, Vanessa Borst, Robert Leppich, André Bauer, Samuel Kounev
2025 J jnl
Quo Vadis CKKS: Comparison of the realization of basic mathematical functions for the homomorphic cryptosystem CKKS using De Bello and polynomial approximations.
J. Inf. Secur. Appl.
Thomas Prantl, Lukas Horn, Simon Engel, André Bauer, Samuel Kounev
2025 J jnl
STEB: In Search of the Best Evaluation Approach for Synthetic Time Series.
CoRR
Michael Stenger, Robert Leppich, André Bauer, Samuel Kounev
2025 C conf
TACO: A Lightweight Tree-Based Approximate Compression Method for Time Series.
DATA
André Bauer
2025 J jnl
Telling fortunes? Evaluation of traffic forecasting models using traffic and context features.
Appl. Intell.
Marius Hadry, André Bauer, Robert Leppich, Veronika Lesch, Samuel Kounev
2025 J jnl
Towards Intelligent Performance Data Analytics With Graph Databases.
Softwaretechnik-Trends
Ivo Rohwer, Martin Straesser, Yannik Lubas, Samuel Kounev, André Bauer
2024 B conf
An Empirical Investigation of Container Building Strategies and Warm Times to Reduce Cold Starts in Scientific Computing Serverless Functions.
e-Science
André Bauer, Maxime Gonthier, Haochen Pan, Ryan Chard, Daniel Grzenda, Martin Straesser, J. Gregory Pauloski, Alok Kamatar, Matt Baughman, Nathaniel Hudson, Ian T. Foster, Kyle Chard
2024 J jnl
Comprehensive Exploration of Synthetic Data Generation: A Survey.
CoRR
André Bauer, Simon Trapp, Michael Stenger, Robert Leppich, Samuel Kounev, Mark Leznik, Kyle Chard, Ian T. Foster
2024 J jnl
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.
Int. J. Inf. Sec.
Thomas Prantl, Lukas Horn, Simon Engel, Lukas Iffländer, Lukas Beierlieb, Christian Krupitzer, André Bauer, Mansi Sakarvadia, Ian T. Foster, Samuel Kounev
2024 — conf
Enhancing Energy Efficiency with Multi-Site Scheduling Strategies.
IPDPS (Workshops)
Alok Kamatar, Valérie Hayot-Sasson, Yadu N. Babuji, André Bauer, Gourav Rattihalli, Ninad Hogade, Dejan S. Milojicic, Kyle Chard, Ian T. Foster
2024 J jnl
Evaluation is key: a survey on evaluation measures for synthetic time series.
J. Big Data
Michael Stenger, Robert Leppich, Ian T. Foster, Samuel Kounev, André Bauer
2024 J jnl
GreenFaaS: Maximizing Energy Efficiency of HPC Workloads with FaaS.
CoRR
Alok Kamatar, Valérie Hayot-Sasson, Yadu N. Babuji, André Bauer, Gourav Rattihalli, Ninad Hogade, Dejan S. Milojicic, Kyle Chard, Ian T. Foster
2024 J jnl
Object Proxy Patterns for Accelerating Distributed Applications.
CoRR
J. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Alexander Brace, André Bauer, Kyle Chard, Ian T. Foster
2024 — conf
Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing.
SC Workshops
Haochen Pan, Ryan Chard, Sicheng Zhou, Alok Kamatar, Rafael Vescovi, Valérie Hayot-Sasson, André Bauer, Maxime Gonthier, Kyle Chard, Ian T. Foster
2024 J jnl
Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing.
CoRR
Haochen Pan, Ryan Chard, Sicheng Zhou, Alok Kamatar, Rafael Vescovi, Valérie Hayot-Sasson, André Bauer, Maxime Gonthier, Kyle Chard, Ian T. Foster
2024 J jnl
Oil & Water? Diffusion of AI Within and Across Scientific Fields.
CoRR
Eamon Duede, William B. Dolan, André Bauer, Ian T. Foster, Karim R. Lakhani
2024 B conf
Security Analysis of a Decentralized, Revocable and Verifiable Attribute-Based Encryption Scheme.
ARES
Thomas Prantl, Marco Lauer, Lukas Horn, Simon Engel, David Dingel, André Bauer, Christian Krupitzer, Samuel Kounev
2024 J jnl
The globus compute dataset: An open function-as-a-service dataset from the edge to the cloud.
Future Gener. Comput. Syst.
André Bauer, Haochen Pan, Ryan Chard, Yadu N. Babuji, Josh Bryan, Devesh Tiwari, Ian T. Foster, Kyle Chard
2024 J jnl
Thinking in Categories: A Survey on Assessing the Quality for Time Series Synthesis.
ACM J. Data Inf. Qual.
Michael Stenger, André Bauer, Thomas Prantl, Robert Leppich, Nathaniel Hudson, Kyle Chard, Ian T. Foster, Samuel Kounev
2024 J jnl
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision.
CoRR
Nathaniel Hudson, J. Gregory Pauloski, Matt Baughman, Alok Kamatar, Mansi Sakarvadia, Logan T. Ward, Ryan Chard, André Bauer, Maksim Levental, Wenyi Wang, Will Engler, Owen Price Skelly, Ben Blaiszik, Rick Stevens, Kyle Chard, Ian T. Foster
2024 — conf
Unveiling Temporal Performance Deviation: Leveraging Clustering in Microservices Performance Analysis.
ICPE (Companion)
André Bauer, Timo Dittus, Martin Straesser, Alok Kamatar, Matt Baughman, Lukas Beierlieb, Marius Hadry, Daniel Grillmeyer, Yannik Lubas, Samuel Kounev, Ian T. Foster, Kyle Chard
2023 B conf
A Systematic Approach for Benchmarking of Container Orchestration Frameworks.
ICPE
Martin Straesser, Jonas Mathiasch, André Bauer, Samuel Kounev
2023 J jnl
A literature review of IoT and CPS - What they are, and what they are not.
J. Syst. Softw.
Veronika Lesch, Marwin Züfle, André Bauer, Lukas Iffländer, Christian Krupitzer, Samuel Kounev
2023 B conf
An Empirical Study of Container Image Configurations and Their Impact on Start Times.
CCGrid
Martin Straesser, André Bauer, Robert Leppich, Nikolas Herbst, Kyle Chard, Ian T. Foster, Samuel Kounev
2023 J jnl
Attention Lens: A Tool for Mechanistically Interpreting the Attention Head Information Retrieval Mechanism.
CoRR
Mansi Sakarvadia, Arham Khan, Aswathy Ajith, Daniel Grzenda, Nathaniel Hudson, André Bauer, Kyle Chard, Ian T. Foster
2023 B conf
Autoscaler Evaluation and Configuration: A Practitioner's Guideline.
ICPE
Martin Straesser, Simon Eismann, Jóakim von Kistowski, André Bauer, Samuel Kounev
2023 — conf
Efficient Data Processing: Assessing the Performance of Different Programming Languages.
ICPE (Companion)
Lukas Beierlieb, André Bauer, Robert Leppich, Lukas Iffländer, Samuel Kounev
2023 — conf
Memory Injections: Correcting Multi-Hop Reasoning Failures During Inference in Transformer-Based Language Models.
BlackboxNLP@EMNLP
Mansi Sakarvadia, Aswathy Ajith, Arham Khan, Daniel Grzenda, Nathaniel Hudson, André Bauer, Kyle Chard, Ian T. Foster
2023 J jnl
Memory Injections: Correcting Multi-Hop Reasoning Failures during Inference in Transformer-Based Language Models.
CoRR
Mansi Sakarvadia, Aswathy Ajith, Arham Khan, Daniel Grzenda, Nathaniel Hudson, André Bauer, Kyle Chard, Ian T. Foster
2023 C conf
Performance Impact Analysis of Homomorphic Encryption: A Case Study Using Linear Regression as an Example.
ISPEC
Thomas Prantl, Simon Engel, Lukas Horn, Dennis Kaiser, Lukas Iffländer, André Bauer, Christian Krupitzer, Samuel Kounev
2023 J jnl
Recommendation of secure group communication schemes using multi-objective optimization.
Int. J. Inf. Sec.
Thomas Prantl, André Bauer, Lukas Iffländer, Christian Krupitzer, Samuel Kounev
2023 — conf
Searching for the Ground Truth: Assessing the Similarity of Benchmarking Runs.
ICPE (Companion)
André Bauer, Martin Straesser, Mark Leznik, Lukas Beierlieb, Marius Hadry, Nathaniel Hudson, Kyle Chard, Samuel Kounev, Ian T. Foster
2023 J jnl
Telescope: An Automated Hybrid Forecasting Approach on a Level-Playing Field.
CoRR
André Bauer, Mark Leznik, Michael Stenger, Robert Leppich, Nikolas Herbst, Samuel Kounev, Ian T. Foster
2023 — conf
Tournament-Based Pretraining to Accelerate Federated Learning.
SC Workshops
Matt Baughman, Nathaniel Hudson, Ryan Chard, André Bauer, Ian T. Foster, Kyle Chard
2023 C conf
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision.
BDCAT
Nathaniel Hudson, J. Gregory Pauloski, Matt Baughman, Alok Kamatar, Mansi Sakarvadia, Logan T. Ward, Ryan Chard, André Bauer, Maksim Levental, Wenyi Wang, Will Engler, Owen Price Skelly, Ben Blaiszik, Rick Stevens, Kyle Chard, Ian T. Foster
2022 J jnl
A Survey on Secure Group Communication Schemes With Focus on IoT Communication.
IEEE Access
Thomas Prantl, Timo Zeck, André Bauer, Peter Ten, Dominik Prantl, Ala Eddine Ben Yahya, Lukas Iffländer, Alexandra Dmitrienko, Christian Krupitzer, Samuel Kounev
2022 — conf
An Experience Report on the Suitability of a Distributed Group Encryption Scheme for an IoT Use Case.
VTC Spring
Thomas Prantl, Simon Engel, André Bauer, Ala Eddine Ben Yahya, Stefan Herrnleben, Lukas Iffländer, Alexandra Dmitrienko, Samuel Kounev
2022 — conf
Automated Triage of Performance Change Points Using Time Series Analysis and Machine Learning: Data Challenge Paper.
ICPE (Companion)
André Bauer, Martin Straesser, Lukas Beierlieb, Maximilian Meissner, Samuel Kounev
2022 — conf
Change Point Detection for MongoDB Time Series Performance Regression.
ICPE (Companion)
Mark Leznik, Md Shahriar Iqbal, Igor Trubin, Arne Lochner, Pooyan Jamshidi, André Bauer
2022 — conf
SPEC Research - Introducing the Predictive Data Analytics Working Group: Poster Paper.
ICPE (Companion)
André Bauer, Mark Leznik, Md Shahriar Iqbal, Daniel Seybold, Igor Trubin, Benjamin Erb, Jörg Domaschka, Pooyan Jamshidi
2022 B conf
Same, Same, but Dissimilar: Exploring Measurements for Workload Time-series Similarity.
ICPE
Mark Leznik, Johannes Grohmann, Nina Kliche, André Bauer, Daniel Seybold, Simon Eismann, Samuel Kounev, Jörg Domaschka
2022 J jnl
Towards Forecasting Future Snow Cover Dynamics in the European Alps - The Potential of Long Optical Remote-Sensing Time Series.
Remote. Sens.
Jonas Köhler, André Bauer, Andreas J. Dietz, Claudia Kuenzer
2022 B conf
Why Is It Not Solved Yet?: Challenges for Production-Ready Autoscaling.
ICPE
Martin Straesser, Johannes Grohmann, Jóakim von Kistowski, Simon Eismann, André Bauer, Samuel Kounev
2021 — —
Automated Hybrid Time Series Forecasting: Design, Benchmarking, and Use Cases.
André Bauer
2021 C conf
Benchmarking of Pre- and Post-Quantum Group Encryption Schemes with Focus on IoT.
IPCCC
Thomas Prantl, Dominik Prantl, André Bauer, Lukas Iffländer, Alexandra Dmitrienko, Samuel Kounev, Christian Krupitzer
2021 B conf
Libra: A Benchmark for Time Series Forecasting Methods.
ICPE
André Bauer, Marwin Züfle, Simon Eismann, Johannes Grohmann, Nikolas Herbst, Samuel Kounev
2021 J jnl
Methodological Principles for Reproducible Performance Evaluation in Cloud Computing.
IEEE Trans. Software Eng.
Alessandro Vittorio Papadopoulos, Laurens Versluis, André Bauer, Nikolas Herbst, Jóakim von Kistowski, Ahmed Ali-Eldin, Cristina L. Abad, José Nelson Amaral, Petr Tuma, Alexandru Iosup
2021 J jnl
SARDE: A Framework for Continuous and Self-Adaptive Resource Demand Estimation.
ACM Trans. Auton. Adapt. Syst.
Johannes Grohmann, Simon Eismann, André Bauer, Simon Spinner, Johannes Blum, Nikolas Herbst, Samuel Kounev
2021 — conf
Towards Splitting Monolithic Workflows Into Serverless Functions and Estimating Their Run-Time in the Earth Observation Domain (Poster).
SSP
Dennis Kaiser, Bohdan Dovhan, André Bauer, Samuel Kounev
2020 B conf
An Automated Forecasting Framework based on Method Recommendation for Seasonal Time Series.
ICPE
André Bauer, Marwin Züfle, Johannes Grohmann, Norbert Schmitt, Nikolas Herbst, Samuel Kounev
2020 — ch.
Automatisierte Hybride Zeitreihenprognose.
Ausgezeichnete Informatikdissertationen
André Bauer
2020 — conf
Methodological Principles for Reproducible Performance Evaluation in Cloud Computing.
SE
Alessandro Vittorio Papadopoulos, Laurens Versluis, André Bauer, Nikolas Herbst, Jóakim von Kistowski, Ahmed Ali-Eldin, Cristina L. Abad, José Nelson Amaral, Petr Tuma, Alexandru Iosup
2020 A* conf
Telescope: An Automatic Feature Extraction and Transformation Approach for Time Series Forecasting on a Level-Playing Field.
ICDE
André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev, Valentin Curtef
2020 J jnl
Time Series Forecasting for Self-Aware Systems.
Proc. IEEE
André Bauer, Marwin Züfle, Nikolas Herbst, Albin Zehe, Andreas Hotho, Samuel Kounev
2019 — conf
Autonomic Forecasting Method Selection: Examination and Ways Ahead.
ICAC
Marwin Züfle, André Bauer, Veronika Lesch, Christian Krupitzer, Nikolas Herbst, Samuel Kounev, Valentin Curtef
2019 — conf
Best Practices for Time Series Forecasting (Tutorial).
FAS*W@SASO/ICAC
André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev
2019 J jnl
Chameleon: A Hybrid, Proactive Auto-Scaling Mechanism on a Level-Playing Field.
IEEE Trans. Parallel Distributed Syst.
André Bauer, Nikolas Herbst, Simon Spinner, Ahmed Ali-Eldin, Samuel Kounev
2019 A conf
Chamulteon: Coordinated Auto-Scaling of Micro-Services.
ICDCS
André Bauer, Veronika Lesch, Laurens Versluis, Alexey Ilyushkin, Nikolas Herbst, Samuel Kounev
2019 C conf
Kaa: Evaluating Elasticity of Cloud-Hosted DBMS.
CloudCom
Daniel Seybold, Simon Volpert, Stefan Wesner, André Bauer, Nikolas Herbst, Jörg Domaschka
2019 J jnl
Modeling of Aggregated IoT Traffic and Its Application to an IoT Cloud.
Proc. IEEE
Florian Metzger, Tobias Hoßfeld, André Bauer, Samuel Kounev, Poul E. Heegaard
2019 — conf
Online Power Consumption Estimation for Functions in Cloud Applications.
ICAC
Norbert Schmitt, Lukas Iffländer, André Bauer, Samuel Kounev
2019 J jnl
Performance-Feedback Autoscaling with Budget Constraints for Cloud-based Workloads of Workflows.
CoRR
Alexey Ilyushkin, André Bauer, Alessandro Vittorio Papadopoulos, Ewa Deelman, Alexandru Iosup
2019 — conf
Systematic Search for Optimal Resource Configurations of Distributed Applications.
FAS*W@SASO/ICAC
André Bauer, Simon Eismann, Johannes Grohmann, Nikolas Herbst, Samuel Kounev
2019 — conf
TeaStore - A Micro-Service Reference Application for Performance Engineers.
ICPE Companion
Jóakim von Kistowski, Simon Eismann, Johannes Grohmann, Norbert Schmitt, André Bauer, Samuel Kounev
2019 — conf
TeaStore - A Micro-Service Reference Application.
FAS*W@SASO/ICAC
Simon Eismann, Jóakim von Kistowski, Johannes Grohmann, André Bauer, Norbert Schmitt, Samuel Kounev
2019 — conf
TeaStore: A Micro-Service Reference Application for Benchmarking, Modeling and Resource Management Research.
SE/SWM
Jóakim von Kistowski, Simon Eismann, Norbert Schmitt, André Bauer, Johannes Grohmann, Samuel Kounev
2019 J jnl
The SPEC-RG Reference Architecture for FaaS: From Microservices and Containers to Serverless Platforms.
IEEE Internet Comput.
Erwin Van Eyk, Alexandru Iosup, Johannes Grohmann, Simon Eismann, André Bauer, Laurens Versluis, Lucian Toader, Norbert Schmitt, Nikolas Herbst, Cristina L. Abad
2019 — conf
Utilizing Clustering to Optimize Resource Demand Estimation Approaches.
FAS*W@SASO/ICAC
Johannes Grohmann, Simon Eismann, André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev
2018 J jnl
An Experimental Performance Evaluation of Autoscalers for Complex Workflows.
ACM Trans. Model. Perform. Evaluation Comput. Syst.
Alexey Ilyushkin, Ahmed Ali-Eldin, Nikolas Herbst, André Bauer, Alessandro Vittorio Papadopoulos, Dick H. J. Epema, Alexandru Iosup
2018 B conf
FOX: Cost-Awareness for Autonomic Resource Management in Public Clouds.
ICPE
Veronika Lesch, André Bauer, Nikolas Herbst, Samuel Kounev
2018 — conf
On the Value of Service Demand Estimation for Auto-scaling.
MMB
André Bauer, Johannes Grohmann, Nikolas Herbst, Samuel Kounev
2018 J jnl
Quantifying Cloud Performance and Dependability: Taxonomy, Metric Design, and Emerging Challenges.
ACM Trans. Model. Perform. Evaluation Comput. Syst.
Nikolas Herbst, André Bauer, Samuel Kounev, Giorgos Oikonomou, Erwin Van Eyk, George Kousiouris, Athanasia Evangelinou, Rouven Krebs, Tim Brecht, Cristina L. Abad, Alexandru Iosup
2018 B conf
TeaStore: A Micro-Service Reference Application for Benchmarking, Modeling and Resource Management Research.
MASCOTS
Jóakim von Kistowski, Simon Eismann, Norbert Schmitt, André Bauer, Johannes Grohmann, Samuel Kounev
2018 — conf
TeaStore: A Micro-Service Reference Application for Cloud Researchers.
UCC Companion
Simon Eismann, Jóakim von Kistowski, Johannes Grohmann, André Bauer, Norbert Schmitt, Nikolas Herbst, Samuel Kounev
2017 B conf
Design and Evaluation of a Proactive, Application-Aware Auto-Scaler: Tutorial Paper.
ICPE
André Bauer, Nikolas Herbst, Samuel Kounev