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ORCIDAndré Bauer 0001
Person information
- affiliation: University of Würzburg, Germany
Other persons with the same name
- André Bauer 0002 — Berufsgenossenschaftliche Unfallklinik, Frankfurt Am Main, Germany
- André Bauer 0003 — Karlsruhe Institute of Technology, Germany
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2020 – today
- 2024
[j16]André Bauer
, Haochen Pan, Ryan Chard, Yadu N. Babuji, Josh Bryan, Devesh Tiwari, Ian T. Foster, Kyle Chard:
The globus compute dataset: An open function-as-a-service dataset from the edge to the cloud. Future Gener. Comput. Syst. 153: 558-574 (2024)- [j15]Thomas Prantl, Lukas Horn, Simon Engel, Lukas Iffländer, Lukas Beierlieb, Christian Krupitzer, André Bauer, Mansi Sakarvadia, Ian T. Foster, Samuel Kounev:
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. 23(2): 1149-1169 (2024) - [j14]Michael Stenger, Robert Leppich, Ian T. Foster, Samuel Kounev, André Bauer:
Evaluation is key: a survey on evaluation measures for synthetic time series. J. Big Data 11(1): 66 (2024) - [j13]Michael Stenger, André Bauer, Thomas Prantl, Robert Leppich, Nathaniel Hudson, Kyle Chard, Ian T. Foster, Samuel Kounev:
Thinking in Categories: A Survey on Assessing the Quality for Time Series Synthesis. ACM J. Data Inf. Qual. 16(2): 14:1-14:32 (2024) - [c40]Thomas Prantl, Marco Lauer, Lukas Horn, Simon Engel, David Dingel, André Bauer, Christian Krupitzer, Samuel Kounev:
Security Analysis of a Decentralized, Revocable and Verifiable Attribute-Based Encryption Scheme. ARES 2024: 24:1-24:11 - [c39]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:
An Empirical Investigation of Container Building Strategies and Warm Times to Reduce Cold Starts in Scientific Computing Serverless Functions. e-Science 2024: 1-10 - [c38]Alok Kamatar, Valérie Hayot-Sasson, Yadu N. Babuji, André Bauer, Gourav Rattihalli, Ninad Hogade, Dejan S. Milojicic, Kyle Chard, Ian T. Foster:
Enhancing Energy Efficiency with Multi-Site Scheduling Strategies. IPDPS (Workshops) 2024: 1175-1177 - [c37]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:
Unveiling Temporal Performance Deviation: Leveraging Clustering in Microservices Performance Analysis. ICPE (Companion) 2024: 72-76 - [i10]André Bauer, Simon Trapp, Michael Stenger, Robert Leppich, Samuel Kounev, Mark Leznik, Kyle Chard, Ian T. Foster:
Comprehensive Exploration of Synthetic Data Generation: A Survey. CoRR abs/2401.02524 (2024) - [i9]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:
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision. CoRR abs/2402.03480 (2024) - [i8]Eamon Duede, William B. Dolan, André Bauer, Ian T. Foster, Karim R. Lakhani:
Oil & Water? Diffusion of AI Within and Across Scientific Fields. CoRR abs/2405.15828 (2024) - [i7]Alok Kamatar, Valérie Hayot-Sasson, Yadu N. Babuji, André Bauer, Gourav Rattihalli, Ninad Hogade, Dejan S. Milojicic, Kyle Chard, Ian T. Foster:
GreenFaaS: Maximizing Energy Efficiency of HPC Workloads with FaaS. CoRR abs/2406.17710 (2024) - [i6]J. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Alexander Brace, André Bauer, Kyle Chard, Ian T. Foster:
Object Proxy Patterns for Accelerating Distributed Applications. CoRR abs/2407.01764 (2024) - [i5]Haochen Pan, Ryan Chard, Sicheng Zhou, Alok Kamatar, Rafael Vescovi, Valérie Hayot-Sasson, André Bauer, Maxime Gonthier, Kyle Chard, Ian T. Foster:
Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing. CoRR abs/2407.11432 (2024) - 2023
- [j12]Thomas Prantl, André Bauer, Lukas Iffländer, Christian Krupitzer, Samuel Kounev:
Recommendation of secure group communication schemes using multi-objective optimization. Int. J. Inf. Sec. 22(5): 1291-1332 (2023) - [j11]Veronika Lesch, Marwin Züfle, André Bauer, Lukas Iffländer, Christian Krupitzer, Samuel Kounev:
A literature review of IoT and CPS - What they are, and what they are not. J. Syst. Softw. 200: 111631 (2023) - [c36]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:
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision. BDCAT 2023: 15:1-15:10 - [c35]Mansi Sakarvadia, Aswathy Ajith, Arham Khan, Daniel Grzenda, Nathaniel Hudson, André Bauer, Kyle Chard, Ian T. Foster:
Memory Injections: Correcting Multi-Hop Reasoning Failures During Inference in Transformer-Based Language Models. BlackboxNLP@EMNLP 2023: 342-356 - [c34]Martin Straesser, André Bauer, Robert Leppich, Nikolas Herbst, Kyle Chard, Ian T. Foster, Samuel Kounev:
An Empirical Study of Container Image Configurations and Their Impact on Start Times. CCGrid 2023: 94-105 - [c33]Thomas Prantl, Simon Engel, Lukas Horn, Dennis Kaiser, Lukas Iffländer, André Bauer, Christian Krupitzer, Samuel Kounev:
Performance Impact Analysis of Homomorphic Encryption: A Case Study Using Linear Regression as an Example. ISPEC 2023: 284-298 - [c32]Matt Baughman, Nathaniel Hudson, Ryan Chard, André Bauer, Ian T. Foster, Kyle Chard:
Tournament-Based Pretraining to Accelerate Federated Learning. SC Workshops 2023: 109-115 - [c31]Martin Straesser, Simon Eismann, Jóakim von Kistowski, André Bauer, Samuel Kounev:
Autoscaler Evaluation and Configuration: A Practitioner's Guideline. ICPE 2023: 31-41 - [c30]Lukas Beierlieb, André Bauer, Robert Leppich, Lukas Iffländer, Samuel Kounev:
Efficient Data Processing: Assessing the Performance of Different Programming Languages. ICPE (Companion) 2023: 83-87 - [c29]André Bauer, Martin Straesser, Mark Leznik, Lukas Beierlieb, Marius Hadry, Nathaniel Hudson, Kyle Chard, Samuel Kounev, Ian T. Foster:
Searching for the Ground Truth: Assessing the Similarity of Benchmarking Runs. ICPE (Companion) 2023: 95-99 - [c28]Martin Straesser, Jonas Mathiasch, André Bauer, Samuel Kounev:
A Systematic Approach for Benchmarking of Container Orchestration Frameworks. ICPE 2023: 187-198 - [d2]Martin Straesser, André Bauer, Robert Leppich, Nikolas Herbst, Kyle Chard, Ian T. Foster, Samuel Kounev:
An Empirical Study of Container Image Configurations and Their Impact on Start Times (Container Image Data). Zenodo, 2023
- [d1]Martin Straesser, Jonas Mathiasch, André Bauer, Samuel Kounev:
A Systematic Approach for Benchmarking of Container Orchestration Frameworks (Research Paper Artifact). Zenodo, 2023 - [i4]Mansi Sakarvadia, Aswathy Ajith, Arham Khan, Daniel Grzenda, Nathaniel Hudson, André Bauer, Kyle Chard, Ian T. Foster:
Memory Injections: Correcting Multi-Hop Reasoning Failures during Inference in Transformer-Based Language Models. CoRR abs/2309.05605 (2023) - [i3]André Bauer, Mark Leznik, Michael Stenger, Robert Leppich, Nikolas Herbst, Samuel Kounev, Ian T. Foster:
Telescope: An Automated Hybrid Forecasting Approach on a Level-Playing Field. CoRR abs/2309.15871 (2023) - [i2]Mansi Sakarvadia, Arham Khan, Aswathy Ajith, Daniel Grzenda, Nathaniel Hudson, André Bauer, Kyle Chard, Ian T. Foster:
Attention Lens: A Tool for Mechanistically Interpreting the Attention Head Information Retrieval Mechanism. CoRR abs/2310.16270 (2023) - 2022
- [j10]Thomas Prantl, Timo Zeck, André Bauer, Peter Ten, Dominik Prantl, Ala Eddine Ben Yahya, Lukas Iffländer, Alexandra Dmitrienko, Christian Krupitzer, Samuel Kounev:
A Survey on Secure Group Communication Schemes With Focus on IoT Communication. IEEE Access 10: 99944-99962 (2022) - [j9]Jonas Köhler, André Bauer, Andreas J. Dietz, Claudia Kuenzer:
Towards Forecasting Future Snow Cover Dynamics in the European Alps - The Potential of Long Optical Remote-Sensing Time Series. Remote. Sens. 14(18): 4461 (2022) - [c27]Thomas Prantl, Simon Engel, André Bauer, Ala Eddine Ben Yahya, Stefan Herrnleben, Lukas Iffländer, Alexandra Dmitrienko, Samuel Kounev:
An Experience Report on the Suitability of a Distributed Group Encryption Scheme for an IoT Use Case. VTC Spring 2022: 1-7 - [c26]André Bauer, Mark Leznik, Md Shahriar Iqbal, Daniel Seybold, Igor Trubin, Benjamin Erb, Jörg Domaschka, Pooyan Jamshidi:
SPEC Research - Introducing the Predictive Data Analytics Working Group: Poster Paper. ICPE (Companion) 2022: 13-14 - [c25]André Bauer, Martin Straesser, Lukas Beierlieb, Maximilian Meissner, Samuel Kounev:
Automated Triage of Performance Change Points Using Time Series Analysis and Machine Learning: Data Challenge Paper. ICPE (Companion) 2022: 29-32 - [c24]Mark Leznik, Md Shahriar Iqbal, Igor Trubin, Arne Lochner, Pooyan Jamshidi, André Bauer:
Change Point Detection for MongoDB Time Series Performance Regression. ICPE (Companion) 2022: 45-48 - [c23]Mark Leznik, Johannes Grohmann, Nina Kliche, André Bauer, Daniel Seybold, Simon Eismann, Samuel Kounev, Jörg Domaschka:
Same, Same, but Dissimilar: Exploring Measurements for Workload Time-series Similarity. ICPE 2022: 89-96 - [c22]Martin Straesser, Johannes Grohmann, Jóakim von Kistowski, Simon Eismann, André Bauer, Samuel Kounev:
Why Is It Not Solved Yet?: Challenges for Production-Ready Autoscaling. ICPE 2022: 105-115 - 2021
- [b1]André Bauer:
Automated Hybrid Time Series Forecasting: Design, Benchmarking, and Use Cases. Julius Maximilians University Würzburg, Germany, 2021 - [j8]Johannes Grohmann, Simon Eismann, André Bauer, Simon Spinner, Johannes Blum, Nikolas Herbst, Samuel Kounev:
SARDE: A Framework for Continuous and Self-Adaptive Resource Demand Estimation. ACM Trans. Auton. Adapt. Syst. 15(2): 6:1-6:31 (2021) - [j7]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:
Methodological Principles for Reproducible Performance Evaluation in Cloud Computing. IEEE Trans. Software Eng. 47(8): 1528-1543 (2021) - [c21]Thomas Prantl, Dominik Prantl, André Bauer, Lukas Iffländer, Alexandra Dmitrienko, Samuel Kounev, Christian Krupitzer:
Benchmarking of Pre- and Post-Quantum Group Encryption Schemes with Focus on IoT. IPCCC 2021: 1-10 - [c20]Dennis Kaiser, Bohdan Dovhan, André Bauer, Samuel Kounev:
Towards Splitting Monolithic Workflows Into Serverless Functions and Estimating Their Run-Time in the Earth Observation Domain (Poster). SSP 2021 - [c19]André Bauer, Marwin Züfle, Simon Eismann, Johannes Grohmann, Nikolas Herbst, Samuel Kounev:
Libra: A Benchmark for Time Series Forecasting Methods. ICPE 2021: 189-200 - 2020
- [j6]André Bauer, Marwin Züfle, Nikolas Herbst, Albin Zehe, Andreas Hotho, Samuel Kounev:
Time Series Forecasting for Self-Aware Systems. Proc. IEEE 108(7): 1068-1093 (2020) - [c18]André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev, Valentin Curtef:
Telescope: An Automatic Feature Extraction and Transformation Approach for Time Series Forecasting on a Level-Playing Field. ICDE 2020: 1902-1905 - [c17]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:
Methodological Principles for Reproducible Performance Evaluation in Cloud Computing. SE 2020: 93-94 - [c16]André Bauer, Marwin Züfle, Johannes Grohmann, Norbert Schmitt, Nikolas Herbst, Samuel Kounev:
An Automated Forecasting Framework based on Method Recommendation for Seasonal Time Series. ICPE 2020: 48-55 - [p1]André Bauer:
Automatisierte Hybride Zeitreihenprognose. Ausgezeichnete Informatikdissertationen 2020: 29-38
2010 – 2019
- 2019
- [j5]Erwin Van Eyk, Alexandru Iosup, Johannes Grohmann, Simon Eismann, André Bauer, Laurens Versluis, Lucian Toader, Norbert Schmitt, Nikolas Herbst, Cristina L. Abad:
The SPEC-RG Reference Architecture for FaaS: From Microservices and Containers to Serverless Platforms. IEEE Internet Comput. 23(6): 7-18 (2019) - [j4]Florian Metzger, Tobias Hoßfeld, André Bauer, Samuel Kounev, Poul E. Heegaard:
Modeling of Aggregated IoT Traffic and Its Application to an IoT Cloud. Proc. IEEE 107(4): 679-694 (2019) - [j3]André Bauer, Nikolas Herbst, Simon Spinner, Ahmed Ali-Eldin, Samuel Kounev:
Chameleon: A Hybrid, Proactive Auto-Scaling Mechanism on a Level-Playing Field. IEEE Trans. Parallel Distributed Syst. 30(4): 800-813 (2019) - [c15]Daniel Seybold, Simon Volpert, Stefan Wesner, André Bauer, Nikolas Herbst, Jörg Domaschka:
Kaa: Evaluating Elasticity of Cloud-Hosted DBMS. CloudCom 2019: 54-61 - [c14]Norbert Schmitt, Lukas Iffländer, André Bauer, Samuel Kounev:
Online Power Consumption Estimation for Functions in Cloud Applications. ICAC 2019: 63-72 - [c13]Marwin Züfle, André Bauer, Veronika Lesch, Christian Krupitzer, Nikolas Herbst, Samuel Kounev, Valentin Curtef:
Autonomic Forecasting Method Selection: Examination and Ways Ahead. ICAC 2019: 167-176 - [c12]André Bauer, Veronika Lesch, Laurens Versluis, Alexey Ilyushkin, Nikolas Herbst, Samuel Kounev:
Chamulteon: Coordinated Auto-Scaling of Micro-Services. ICDCS 2019: 2015-2025 - [c11]André Bauer, Simon Eismann, Johannes Grohmann, Nikolas Herbst, Samuel Kounev:
Systematic Search for Optimal Resource Configurations of Distributed Applications. FAS*W@SASO/ICAC 2019: 120-125 - [c10]Johannes Grohmann, Simon Eismann, André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev:
Utilizing Clustering to Optimize Resource Demand Estimation Approaches. FAS*W@SASO/ICAC 2019: 134-139 - [c9]André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev:
Best Practices for Time Series Forecasting (Tutorial). FAS*W@SASO/ICAC 2019: 255-256 - [c8]Simon Eismann, Jóakim von Kistowski, Johannes Grohmann, André Bauer, Norbert Schmitt, Samuel Kounev:
TeaStore - A Micro-Service Reference Application. FAS*W@SASO/ICAC 2019: 263-264 - [c7]Jóakim von Kistowski, Simon Eismann, Norbert Schmitt, André Bauer, Johannes Grohmann, Samuel Kounev:
TeaStore: A Micro-Service Reference Application for Benchmarking, Modeling and Resource Management Research. SE/SWM 2019: 99-100 - [c6]Jóakim von Kistowski, Simon Eismann, Johannes Grohmann, Norbert Schmitt, André Bauer, Samuel Kounev:
TeaStore - A Micro-Service Reference Application for Performance Engineers. ICPE Companion 2019: 47-48 - [i1]Alexey Ilyushkin, André Bauer, Alessandro Vittorio Papadopoulos, Ewa Deelman, Alexandru Iosup:
Performance-Feedback Autoscaling with Budget Constraints for Cloud-based Workloads of Workflows. CoRR abs/1905.10270 (2019) - 2018
- [j2]Alexey Ilyushkin, Ahmed Ali-Eldin, Nikolas Herbst, André Bauer, Alessandro Vittorio Papadopoulos, Dick H. J. Epema, Alexandru Iosup:
An Experimental Performance Evaluation of Autoscalers for Complex Workflows. ACM Trans. Model. Perform. Evaluation Comput. Syst. 3(2): 8:1-8:32 (2018) - [j1]Nikolas Herbst, André Bauer, Samuel Kounev, Giorgos Oikonomou, Erwin Van Eyk, George Kousiouris, Athanasia Evangelinou, Rouven Krebs, Tim Brecht, Cristina L. Abad, Alexandru Iosup:
Quantifying Cloud Performance and Dependability: Taxonomy, Metric Design, and Emerging Challenges. ACM Trans. Model. Perform. Evaluation Comput. Syst. 3(4): 19:1-19:36 (2018) - [c5]Jóakim von Kistowski, Simon Eismann, Norbert Schmitt, André Bauer, Johannes Grohmann, Samuel Kounev:
TeaStore: A Micro-Service Reference Application for Benchmarking, Modeling and Resource Management Research. MASCOTS 2018: 223-236 - [c4]André Bauer, Johannes Grohmann, Nikolas Herbst, Samuel Kounev:
On the Value of Service Demand Estimation for Auto-scaling. MMB 2018: 142-156 - [c3]Simon Eismann, Jóakim von Kistowski, Johannes Grohmann, André Bauer, Norbert Schmitt, Nikolas Herbst, Samuel Kounev:
TeaStore: A Micro-Service Reference Application for Cloud Researchers. UCC Companion 2018: 11-12 - [c2]Veronika Lesch, André Bauer, Nikolas Herbst, Samuel Kounev:
FOX: Cost-Awareness for Autonomic Resource Management in Public Clouds. ICPE 2018: 4-15 - 2017
- [c1]André Bauer, Nikolas Herbst, Samuel Kounev:
Design and Evaluation of a Proactive, Application-Aware Auto-Scaler: Tutorial Paper. ICPE 2017: 425-428
Coauthor Index
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