S1: Testbeds and Repositories

Description

This service subproject will provide and manage distributed computational infrastructures, data sets, and DAWs for usage in all subprojects of the CRC. In particular, it will (a) maintain and grant access to different DAW infrastructures at the participating institutions, (b) collect and develop a rich set of real-life DAWs accompanied by real-life data sets and results for benchmarking and testing, (c) collect and maintain a large set of real-life execution traces to enable realistic evaluations for research in DAW provenance, and (d) maintain a collaborative development environment for continuous deployment and test of DAWs on different systems.

Contact

Vasilis Bountris: vasilis.bountris [..at..] hu-berlin.com

PIs

Publications

2022

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

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

Jonathan Bader; Nicolas Zunker; Soeren Becker; Odej Kao

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

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

Towards Advanced Monitoring for Scientific Workflows Inproceedings

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

Links | BibTeX

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

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

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

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

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

Macaw: The Machine Learning Magnetometer Calibration Workflow Inproceedings

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

Links | BibTeX

Marcus Hilbrich; Vasilis Bountris

Are Workflows a Language to Solve Software Management Challenges?--A ßMACH Based Analysis Incollection

In: New Trends in Intelligent Software Methodologies, Tools and Techniques, vol. 355, pp. 221–232, IOS Press, 2022.

Abstract | Links | BibTeX

Soeren Becker; Tobias Pfandzelter; Nils Japke; David Bermbach; Odej Kao

Network Emulation in Large-Scale Virtual Edge Testbeds: A Note of Caution and the Way Forward Inproceedings

In: IEEE International Conference on Cloud Engineering, IC2E 2022, Pacific Grove, CA, USA, September 26-30, 2022, pp. 1–7, IEEE, 2022.

Links | BibTeX

2021

Fabian Lehmann; David Frantz; Soeren Becker; Ulf Leser; Patrick Hostert

FORCE on Nextflow: Scalable Analysis of Earth Observation Data on Commodity Clusters Inproceedings

In: CIKM Workshops, 2021.

BibTeX