André Bauer

Orcid: 0000-0002-5582-8812

Affiliations:
  • University of Würzburg, Germany


According to our database1, André Bauer authored at least 58 papers between 2017 and 2024.

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Bibliography

2024
Evaluation is key: a survey on evaluation measures for synthetic time series.
J. Big Data, December, 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.
Int. J. Inf. Sec., April, 2024

The globus compute dataset: An open function-as-a-service dataset from the edge to the cloud.
Future Gener. Comput. Syst., 2024

Oil & Water? Diffusion of AI Within and Across Scientific Fields.
CoRR, 2024

Comprehensive Exploration of Synthetic Data Generation: A Survey.
CoRR, 2024

Unveiling Temporal Performance Deviation: Leveraging Clustering in Microservices Performance Analysis.
Proceedings of the Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

2023
Recommendation of secure group communication schemes using multi-objective optimization.
Int. J. Inf. Sec., October, 2023

A literature review of IoT and CPS - What they are, and what they are not.
J. Syst. Softw., June, 2023

An Empirical Study of Container Image Configurations and Their Impact on Start Times (Container Image Data).
Dataset, February, 2023

Attention Lens: A Tool for Mechanistically Interpreting the Attention Head Information Retrieval Mechanism.
CoRR, 2023

Telescope: An Automated Hybrid Forecasting Approach on a Level-Playing Field.
CoRR, 2023

A Systematic Approach for Benchmarking of Container Orchestration Frameworks.
Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Autoscaler Evaluation and Configuration: A Practitioner's Guideline.
Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Efficient Data Processing: Assessing the Performance of Different Programming Languages.
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.
Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Tournament-Based Pretraining to Accelerate Federated Learning.
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.
Proceedings of the Information Security Practice and Experience, 2023

An Empirical Study of Container Image Configurations and Their Impact on Start Times.
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.
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.
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.
Remote. Sens., 2022

A Survey on Secure Group Communication Schemes With Focus on IoT Communication.
IEEE Access, 2022

Why Is It Not Solved Yet?: Challenges for Production-Ready Autoscaling.
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.
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.
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.
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.
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.
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

2021
Automated Hybrid Time Series Forecasting: Design, Benchmarking, and Use Cases.
PhD thesis, 2021

Methodological Principles for Reproducible Performance Evaluation in Cloud Computing.
IEEE Trans. Software Eng., 2021

SARDE: A Framework for Continuous and Self-Adaptive Resource Demand Estimation.
ACM Trans. Auton. Adapt. Syst., 2021

Libra: A Benchmark for Time Series Forecasting Methods.
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).
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.
Proceedings of the IEEE International Performance, 2021

2020
Automatisierte Hybride Zeitreihenprognose.
Proceedings of the Ausgezeichnete Informatikdissertationen 2020., 2020

Time Series Forecasting for Self-Aware Systems.
Proc. IEEE, 2020

An Automated Forecasting Framework based on Method Recommendation for Seasonal Time Series.
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.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
Chameleon: A Hybrid, Proactive Auto-Scaling Mechanism on a Level-Playing Field.
IEEE Trans. Parallel Distributed Syst., 2019

Modeling of Aggregated IoT Traffic and Its Application to an IoT Cloud.
Proc. IEEE, 2019

The SPEC-RG Reference Architecture for FaaS: From Microservices and Containers to Serverless Platforms.
IEEE Internet Comput., 2019

Performance-Feedback Autoscaling with Budget Constraints for Cloud-based Workloads of Workflows.
CoRR, 2019

TeaStore - A Micro-Service Reference Application for Performance Engineers.
Proceedings of the Companion of the 2019 ACM/SPEC International Conference on Performance Engineering, 2019

Utilizing Clustering to Optimize Resource Demand Estimation Approaches.
Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems, 2019

TeaStore - A Micro-Service Reference Application.
Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems, 2019

Best Practices for Time Series Forecasting (Tutorial).
Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems, 2019

Systematic Search for Optimal Resource Configurations of Distributed Applications.
Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems, 2019

Chamulteon: Coordinated Auto-Scaling of Micro-Services.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Autonomic Forecasting Method Selection: Examination and Ways Ahead.
Proceedings of the 2019 IEEE International Conference on Autonomic Computing, 2019

Online Power Consumption Estimation for Functions in Cloud Applications.
Proceedings of the 2019 IEEE International Conference on Autonomic Computing, 2019

Kaa: Evaluating Elasticity of Cloud-Hosted DBMS.
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.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2018

Quantifying Cloud Performance and Dependability: Taxonomy, Metric Design, and Emerging Challenges.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2018

FOX: Cost-Awareness for Autonomic Resource Management in Public Clouds.
Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018

TeaStore: A Micro-Service Reference Application for Cloud Researchers.
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.
Proceedings of the Measurement, Modelling and Evaluation of Computing Systems, 2018

TeaStore: A Micro-Service Reference Application for Benchmarking, Modeling and Resource Management Research.
Proceedings of the 26th IEEE International Symposium on Modeling, 2018

2017
Design and Evaluation of a Proactive, Application-Aware Auto-Scaler: Tutorial Paper.
Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering, 2017


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