Publications

The research results of FONDA have been published in the following articles:

61 entries « 1 of 5 »
61.

Leser, Ulf; Thamsen, Lauritz

The Elephant in the Data Center – Energy Consumption of Workflow Executions Online

Workflows Community Initiative (WCI) 2023.

Links | BibTeX

60.

Will, Jonathan; Thamsen, Lauritz; Bader, Jonathan; Scheinert, Dominik; Kao, Odej

Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing Inproceedings

In: 2022 IEEE International Conference on Big Data (IEEE BigData 2022), IEEE, 2022.

Links | BibTeX

59.

Scheinert, Dominik; Becker, Soeren; Bader, Jonathan; Thamsen, Lauritz; Will, Jonathan; Kao, Odej

Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics Inproceedings

In: 2022 IEEE International Conference on Big Data (IEEE BigData 2022), IEEE, 2022.

Links | BibTeX

58.

Bader, Jonathan; Zunker, Nicolas; Becker, Soeren; Kao, Odej

Leveraging Reinforcement Learning for Task Resource Allocation in Scientific Workflows Inproceedings

In: 2022 IEEE International Conference on Big Data (IEEE BigData 2022), IEEE, 2022.

Links | BibTeX

57.

Bader, Jonathan; Witzke, Joel; Becker, Soeren; Lößer, Ansgar; Lehmann, Fabian; Doehler, Leon; Vu, Anh Duc; Kao, Odej

Towards Advanced Monitoring for Scientific Workflows Inproceedings

In: 2022 IEEE International Conference on Big Data (IEEE BigData 2022), IEEE, 2022.

Links | BibTeX

56.

Becker, Soeren; Styp-Rekowski, Kevin; Stoll, Oliver Vincent Leon; Kao, Odej

Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things Inproceedings

In: 2022 IEEE International Conference on Big Data (IEEE BigData 2022), IEEE, 2022.

Links | BibTeX

55.

Scheinert, Dominik; Aghdam, Babak Sistani Zadeh; Becker, Soeren; Kao, Odej; Thamsen, Lauritz

Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments Inproceedings

In: 2022 IEEE International Conference on Big Data (IEEE BigData 2022), IEEE, 2022.

Links | BibTeX

54.

Will, Jonathan; Thamsen, Lauritz; Bader, Jonathan; Scheinert, Dominik; Kao, Odej

Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing Inproceedings

In: 2022 IEEE International Conference on Cloud Engineering (IC2E), IEEE, 2022.

Links | BibTeX

53.

Bader, Jonathan; Styp-Rekowski, Kevin; Doehler, Leon; Becker, Soeren; Kao, Odej

Macaw: The Machine Learning Magnetometer Calibration Workflow Inproceedings

In: 2022 International Conference on Data Mining Workshops (ICDMW), IEEE, 2022.

Links | BibTeX

52.

Vu, Anh Duc; Kehrer, Timo; Tsigkanos, Christos

Outcome-Preserving Input Reduction for Scientific Data Analysis Workflows Inproceedings Forthcoming

In: Forthcoming.

BibTeX

51.

Bader, Jonathan; Lehmann, Fabian; Groth, Alexander; Thamsen, Lauritz; Scheinert, Dominik; Will, Jonathan; Leser, Ulf; Kao, Odej

Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures Inproceedings

In: 41th International Performance Computing and Communications Conference 2022, IEEE, 2022.

Links | BibTeX

50.

Schulz, Marc-Andre; Koch, Alexander; Guarino, Vanessa Emanuela; Kainmueller, Dagmar; Ritter, Kerstin

Data augmentation via partial nonlinear registration for brain-age prediction Inproceedings

In: Machine Learning in Clinical Neuroimaging, Lecture Notes in Computer Science, 2022.

BibTeX

49.

Kuban, Martin; Gabaj, Šimon; Aggoune, Wahib; Vona, Cecilia; Rigamonti, Santiago; Draxl, Claudia

Similarity of materials and data-quality assessment by fingerprinting Journal Article

In: MRS Bulletin, 2022, ISSN: 1938-1425.

Abstract | Links | BibTeX

48.

Bader, Jonathan; Lehmann, Fabian; Thamsen, Lauritz; Will, Jonathan; Leser, Ulf; Kao, Odej

Lotaru: Locally Estimating Runtimes of Scientific Workflow Tasks in Heterogeneous Clusters Inproceedings

In: 34th International Conference on Scientific and Statistical Database Management (SSDBM 2022), pp. 1–12, ACM, 2022.

Links | BibTeX

47.

Schulz, Marc-Andre; Bzdok, Danilo; Haufe, Stefan; Haynes, John-Dylan; Ritter, Kerstin

Performance reserves in brain-imaging-based phenotype prediction Working paper

bioAxiv, 2022.

BibTeX

61 entries « 1 of 5 »