André Bauer

According to our database, André Bauer authored at least 66 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Evaluation is key: a survey on evaluation measures for synthetic time series.

Michael Stenger, Robert Leppich, Ian T. Foster, Samuel Kounev, André Bauer

J. Big Data, December, 2024

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 T. Foster, Samuel Kounev

ACM J. Data Inf. Qual., June, 2024

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 T. Foster, Samuel Kounev

Int. J. Inf. Sec., April, 2024

The globus compute dataset: An open function-as-a-service dataset from the edge to the cloud.

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

Future Gener. Comput. Syst., 2024

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

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

CoRR, 2024

Object Proxy Patterns for Accelerating Distributed Applications.

J. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Alexander Brace, André Bauer, Kyle Chard, Ian T. Foster

CoRR, 2024

GreenFaaS: Maximizing Energy Efficiency of HPC Workloads with FaaS.

Alok Kamatar, Valérie Hayot-Sasson, Yadu N. Babuji, André Bauer, Gourav Rattihalli, Ninad Hogade, Dejan S. Milojicic, Kyle Chard, Ian T. Foster

CoRR, 2024

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

Eamon Duede, William B. Dolan, André Bauer, Ian T. Foster, Karim R. Lakhani

CoRR, 2024

Comprehensive Exploration of Synthetic Data Generation: A Survey.

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

CoRR, 2024

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 T. Foster, Kyle Chard

Proceedings of the Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

Enhancing Energy Efficiency with Multi-Site Scheduling Strategies.

Alok Kamatar, Valérie Hayot-Sasson, Yadu N. Babuji, André Bauer, Gourav Rattihalli, Ninad Hogade, Dejan S. Milojicic, Kyle Chard, Ian T. Foster

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

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

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

Proceedings of the 20th IEEE International Conference on e-Science, 2024

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, Samuel Kounev

Proceedings of the 19th International Conference on Availability, Reliability and Security, 2024

2023

Recommendation of secure group communication schemes using multi-objective optimization.

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

Int. J. Inf. Sec., October, 2023

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, Samuel Kounev

J. Syst. Softw., June, 2023

A Systematic Approach for Benchmarking of Container Orchestration Frameworks (Research Paper Artifact).

Martin Straesser, Jonas Mathiasch, André Bauer, Samuel Kounev

Dataset, February, 2023

An Empirical Study of Container Image Configurations and Their Impact on Start Times (Container Image Data).

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

Dataset, February, 2023

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, Ian T. Foster

CoRR, 2023

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

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

CoRR, 2023

A Systematic Approach for Benchmarking of Container Orchestration Frameworks.

Martin Straesser, Jonas Mathiasch, André Bauer, Samuel Kounev

Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Autoscaler Evaluation and Configuration: A Practitioner's Guideline.

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

Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

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

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

Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

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, Ian T. Foster

Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Tournament-Based Pretraining to Accelerate Federated Learning.

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

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

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, Samuel Kounev

Proceedings of the Information Security Practice and Experience, 2023

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

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

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

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, Ian T. Foster

Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 2023

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

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

Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, 2023

2022

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

Jonas Köhler, André Bauer, Andreas J. Dietz, Claudia Kuenzer

Remote. Sens., 2022

A Survey on Secure Group Communication Schemes With Focus on IoT Communication.

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

IEEE Access, 2022

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

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

Proceedings of the ICPE '22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9, 2022

Change Point Detection for MongoDB Time Series Performance Regression.

Mark Leznik, Md Shahriar Iqbal, Igor Trubin, Arne Lochner, Pooyan Jamshidi, André Bauer

Proceedings of the ICPE '22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9, 2022

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, Jörg Domaschka

Proceedings of the ICPE '22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9, 2022

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

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

Proceedings of the ICPE '22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9, 2022

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

André Bauer, Mark Leznik, Md Shahriar Iqbal, Daniel Seybold, Igor Trubin, Benjamin Erb, Jörg Domaschka, Pooyan Jamshidi

Proceedings of the ICPE '22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9, 2022

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

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

Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

2021

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

André Bauer

PhD thesis, 2021

Methodological Principles for Reproducible Performance Evaluation in Cloud Computing.

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

IEEE Trans. Software Eng., 2021

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

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

ACM Trans. Auton. Adapt. Syst., 2021

Libra: A Benchmark for Time Series Forecasting Methods.

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

Proceedings of the ICPE '21: ACM/SPEC International Conference on Performance Engineering, 2021

Towards Splitting Monolithic Workflows Into Serverless Functions and Estimating Their Run-Time in the Earth Observation Domain (Poster).

Dennis Kaiser, Bohdan Dovhan, André Bauer, Samuel Kounev

Proceedings of the Short Paper Proceedings of Symposium on Software Performance 2021, 2021

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

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

Proceedings of the IEEE International Performance, 2021

2020

Automatisierte Hybride Zeitreihenprognose.

André Bauer

Proceedings of the Ausgezeichnete Informatikdissertationen 2020., 2020

Time Series Forecasting for Self-Aware Systems.

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

Proc. IEEE, 2020

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

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

Proceedings of the ICPE '20: ACM/SPEC International Conference on Performance Engineering, 2020

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, Valentin Curtef

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

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

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

IEEE Trans. Parallel Distributed Syst., 2019

Modeling of Aggregated IoT Traffic and Its Application to an IoT Cloud.

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

Proc. IEEE, 2019

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

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

IEEE Internet Comput., 2019

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

Alexey Ilyushkin, André Bauer, Alessandro Vittorio Papadopoulos, Ewa Deelman, Alexandru Iosup

CoRR, 2019

TeaStore - A Micro-Service Reference Application for Performance Engineers.

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

Proceedings of the Companion of the 2019 ACM/SPEC International Conference on Performance Engineering, 2019

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

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

Proceedings of the Software Engineering and Software Management, 2019

Utilizing Clustering to Optimize Resource Demand Estimation Approaches.

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

Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems, 2019

TeaStore - A Micro-Service Reference Application.

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

Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems, 2019

Best Practices for Time Series Forecasting (Tutorial).

André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev

Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems, 2019

Systematic Search for Optimal Resource Configurations of Distributed Applications.

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

Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems, 2019

Chamulteon: Coordinated Auto-Scaling of Micro-Services.

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

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Autonomic Forecasting Method Selection: Examination and Ways Ahead.

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

Proceedings of the 2019 IEEE International Conference on Autonomic Computing, 2019

Online Power Consumption Estimation for Functions in Cloud Applications.

Norbert Schmitt, Lukas Iffländer, André Bauer, Samuel Kounev

Proceedings of the 2019 IEEE International Conference on Autonomic Computing, 2019

Kaa: Evaluating Elasticity of Cloud-Hosted DBMS.

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

Proceedings of the 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2019

2018

An Experimental Performance Evaluation of Autoscalers for Complex Workflows.

Alexey Ilyushkin, Ahmed Ali-Eldin, Nikolas Herbst, André Bauer, Alessandro Vittorio Papadopoulos, Dick H. J. Epema, Alexandru Iosup

ACM Trans. Model. Perform. Evaluation Comput. Syst., 2018

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 L. Abad, Alexandru Iosup

ACM Trans. Model. Perform. Evaluation Comput. Syst., 2018

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

Veronika Lesch, André Bauer, Nikolas Herbst, Samuel Kounev

Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018

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

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

Proceedings of the 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion, 2018

On the Value of Service Demand Estimation for Auto-scaling.

André Bauer, Johannes Grohmann, Nikolas Herbst, Samuel Kounev

Proceedings of the Measurement, Modelling and Evaluation of Computing Systems, 2018

2017

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

André Bauer, Nikolas Herbst, Samuel Kounev

Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering, 2017