André Bauer - researchr alias

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Viewing Publication 1 - 40 from 40

2022

Towards Forecasting Future Snow Cover Dynamics in the European Alps - The Potential of Long Optical Remote-Sensing Time SeriesJonas Köhler 0002, André Bauer, Andreas J. Dietz, Claudia Kuenzer. remotesensing, 14(18):4461, 2022. [doi]

Automated Triage of Performance Change Points Using Time Series Analysis and Machine Learning: Data Challenge PaperAndré Bauer, Martin Straesser, Lukas Beierlieb, Maximilian Meissner, Samuel Kounev. wosp 2022: 29-32 [doi]

SPEC Research - Introducing the Predictive Data Analytics Working Group: Poster PaperAndré Bauer, Mark Leznik, Md Shahriar Iqbal, Daniel Seybold, Igor Trubin, Benjamin Erb, Jörg Domaschka, Pooyan Jamshidi. wosp 2022: 13-14 [doi]

Same, Same, but Dissimilar: Exploring Measurements for Workload Time-series SimilarityMark Leznik, Johannes Grohmann, Nina Kliche, André Bauer, Daniel Seybold, Simon Eismann, Samuel Kounev, Jörg Domaschka. wosp 2022: 89-96 [doi]

Change Point Detection for MongoDB Time Series Performance RegressionMark Leznik, Md Shahriar Iqbal, Igor Trubin, Arne Lochner, Pooyan Jamshidi, André Bauer. wosp 2022: 45-48 [doi]

A Survey on Secure Group Communication Schemes With Focus on IoT CommunicationThomas Prantl, Timo Zeck, André Bauer, Peter Ten, Dominik Prantl, Ala Eddine Ben Yahya, Lukas Iffländer, Alexandra Dmitrienko, Christian Krupitzer, Samuel Kounev. access, 10:99944-99962, 2022. [doi]

An Experience Report on the Suitability of a Distributed Group Encryption Scheme for an IoT Use CaseThomas Prantl, Simon Engel, André Bauer, Ala Eddine Ben Yahya, Stefan Herrnleben, Lukas Iffländer, Alexandra Dmitrienko, Samuel Kounev. vtc 2022: 1-7 [doi]

Why Is It Not Solved Yet?: Challenges for Production-Ready AutoscalingMartin Straesser, Johannes Grohmann, Jóakim von Kistowski, Simon Eismann, André Bauer, Samuel Kounev. wosp 2022: 105-115 [doi]

2021

Automated Hybrid Time Series Forecasting: Design, Benchmarking, and Use CasesAndré Bauer. PhD thesis, Julius Maximilians University Würzburg, Germany, 2021. [doi]

Libra: A Benchmark for Time Series Forecasting MethodsAndré Bauer, Marwin Züfle, Simon Eismann, Johannes Grohmann, Nikolas Herbst, Samuel Kounev. wosp 2021: 189-200 [doi]

SARDE: A Framework for Continuous and Self-Adaptive Resource Demand EstimationJohannes Grohmann, Simon Eismann, André Bauer, Simon Spinner, Johannes Blum 0001, Nikolas Herbst, Samuel Kounev. taas, 15(2), 2021. [doi]

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. kpdays 2022: [doi]

Methodological Principles for Reproducible Performance Evaluation in Cloud ComputingAlessandro Vittorio Papadopoulos, Laurens Versluis, André Bauer, Nikolas Herbst, Jóakim von Kistowski, Ahmed Ali-Eldin, Cristina L. Abad, José Nelson Amaral, Petr Tuma 0001, Alexandru Iosup. TSE, 47(8):1528-1543, 2021. [doi]

Benchmarking of Pre- and Post-Quantum Group Encryption Schemes with Focus on IoTThomas Prantl, Dominik Prantl, André Bauer, Lukas Iffländer, Alexandra Dmitrienko, Samuel Kounev, Christian Krupitzer. ipccc 2021: 1-10 [doi]

2020

An Automated Forecasting Framework based on Method Recommendation for Seasonal Time SeriesAndré Bauer, Marwin Züfle, Johannes Grohmann, Norbert Schmitt, Nikolas Herbst, Samuel Kounev. wosp 2020: 48-55 [doi]

Telescope: An Automatic Feature Extraction and Transformation Approach for Time Series Forecasting on a Level-Playing FieldAndré Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev, Valentin Curtef. icde 2020: 1902-1905 [doi]

Time Series Forecasting for Self-Aware SystemsAndré Bauer, Marwin Züfle, Nikolas Herbst, Albin Zehe, Andreas Hotho, Samuel Kounev. pieee, 108(7):1068-1093, 2020. [doi]

2019

Best Practices for Time Series Forecasting (Tutorial)André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev. saso 2019: 255-256 [doi]

Systematic Search for Optimal Resource Configurations of Distributed ApplicationsAndré Bauer, Simon Eismann, Johannes Grohmann, Nikolas Herbst, Samuel Kounev. saso 2019: 120-125 [doi]

Chamulteon: Coordinated Auto-Scaling of Micro-ServicesAndré Bauer, Veronika Lesch, Laurens Versluis, Alexey Ilyushkin, Nikolas Herbst, Samuel Kounev. icdcs 2019: 2015-2025 [doi]

Chameleon: A Hybrid, Proactive Auto-Scaling Mechanism on a Level-Playing FieldAndré Bauer, Nikolas Herbst, Simon Spinner, Ahmed Ali-Eldin, Samuel Kounev. tpds, 30(4):800-813, 2019. [doi]

TeaStore - A Micro-Service Reference ApplicationSimon Eismann, Jóakim von Kistowski, Johannes Grohmann, André Bauer, Norbert Schmitt, Samuel Kounev. saso 2019: 263-264 [doi]

The SPEC-RG Reference Architecture for FaaS: From Microservices and Containers to Serverless PlatformsErwin Van Eyk, Alexandru Iosup, Johannes Grohmann, Simon Eismann, André Bauer, Laurens Versluis, Lucian Toader, Norbert Schmitt, Nikolas Herbst, Cristina L. Abad. internet, 23(6):7-18, 2019. [doi]

Utilizing Clustering to Optimize Resource Demand Estimation ApproachesJohannes Grohmann, Simon Eismann, André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev. saso 2019: 134-139 [doi]

Modeling of Aggregated IoT Traffic and Its Application to an IoT CloudFlorian Metzger, Tobias Hobfeld, André Bauer, Samuel Kounev, Poul E. Heegaard. pieee, 107(4):679-694, 2019. [doi]

Online Power Consumption Estimation for Functions in Cloud ApplicationsNorbert Schmitt, Lukas Iffländer, André Bauer, Samuel Kounev. icac 2019: 63-72 [doi]

Kaa: Evaluating Elasticity of Cloud-Hosted DBMSDaniel Seybold, Simon Volpert, Stefan Wesner, André Bauer, Nikolas Herbst, Jörg Domaschka. cloudcom 2019: 54-61 [doi]

TeaStore: A Micro-Service Reference Application for Benchmarking, Modeling and Resource Management ResearchJóakim von Kistowski, Simon Eismann, Norbert Schmitt, André Bauer, Johannes Grohmann, Samuel Kounev. se 2019: 99-100 [doi]

TeaStore - A Micro-Service Reference Application for Performance EngineersJóakim von Kistowski, Simon Eismann, Johannes Grohmann, Norbert Schmitt, André Bauer, Samuel Kounev. wosp 2019: 47-48 [doi]

Autonomic Forecasting Method Selection: Examination and Ways AheadMarwin Züfle, André Bauer, Veronika Lesch, Christian Krupitzer, Nikolas Herbst, Samuel Kounev, Valentin Curtef. icac 2019: 167-176 [doi]

2018

On the Value of Service Demand Estimation for Auto-scalingAndré Bauer, Johannes Grohmann, Nikolas Herbst, Samuel Kounev. mmb 2018: 142-156 [doi]

TeaStore: A Micro-Service Reference Application for Cloud ResearchersSimon Eismann, Jóakim von Kistowski, Johannes Grohmann, André Bauer, Norbert Schmitt, Nikolas Herbst, Samuel Kounev. ucc 2018: 11-12 [doi]

Quantifying Cloud Performance and Dependability: Taxonomy, Metric Design, and Emerging ChallengesNikolas Herbst, André Bauer, Samuel Kounev, Giorgos Oikonomou, Erwin Van Eyk, George Kousiouris, Athanasia Evangelinou, Rouven Krebs, Tim Brecht, Cristina L. Abad, Alexandru Iosup. tompecs, 3(4), 2018. [doi]

An Experimental Performance Evaluation of Autoscalers for Complex WorkflowsAlexey Ilyushkin, Ahmed Ali-Eldin, Nikolas Herbst, André Bauer, Alessandro Vittorio Papadopoulos, Dick H. J. Epema, Alexandru Iosup. tompecs, 3(2), 2018. [doi]

FOX: Cost-Awareness for Autonomic Resource Management in Public CloudsVeronika Lesch, André Bauer, Nikolas Herbst, Samuel Kounev. wosp 2018: 4-15 [doi]

2017

Design and Evaluation of a Proactive, Application-Aware Auto-Scaler: Tutorial PaperAndré Bauer, Nikolas Herbst, Samuel Kounev. wosp 2017: 425-428 [doi]

1997

Robodoc - animal experiment and clinical evaluationAndré Bauer, Martin Börner, Armin Lahmer. cvrmed 1997: 561-564

Experiences with an image-guided planning system (ORTHODOC) for cementless hip replacementArmin Lahmer, Martin Börner, André Bauer. cvrmed 1997: 557-560

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1997

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