Continued from B5: Adaptive, Distributed and Scalable Analysis of Massive Satellite Data
Description
DAWs for satellite data analysis are highly heterogeneous and complex in terms of input data, software, and resource requirements. Furthermore, data for DAWs are often available at different data centers, with data download being a major bottleneck in DAWs execution.
Our goal is to expand orchestration of Earth Observation Workflows (EOWs) from FONDA I to a federated multi-center scenario to enable analysis of changes in agricultural land use over very large, heterogeneous and distributed data sets.
Scientists
- Felix Kummer
- Katarzyna Ewa Lewińska
Publications
2023
The Common Workflow Scheduler Interface: Status Quo and Future Plans Proceedings Article
In: Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis (SC-W 2023), ACM, Denver, Colorado, 2023, ISBN: 979-8-4007-0785-8/23/11.
Usable Observations over Europe: Evaluation of Compositing Windows for Landsat and Sentinel-2 Time Series Journal Article
In: Preprints, 2023.
How Workflow Engines Should Talk to Resource Managers: A Proposal for a Common Workflow Scheduling Interface Proceedings Article
In: 2023 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), pp. 166-179, 2023.
Validity Constraints for Data Analysis Workflows Miscellaneous
2023.
Workflows Community Summit 2022: A Roadmap Revolution Miscellaneous
2023.
EnMAP-Box: Imaging spectroscopy in QGIS Journal Article
In: SoftwareX, vol. 23, pp. 101507, 2023.
Large Language Models to the Rescue: Reducing the Complexity in Scientific Workflow Development Using ChatGPT Miscellaneous
2023.
2022
Towards Advanced Monitoring for Scientific Workflows Proceedings Article
In: 2022 IEEE International Conference on Big Data (IEEE BigData 2022), IEEE, 2022.
Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures Proceedings Article
In: 41th International Performance Computing and Communications Conference 2022, IEEE, 2022.
Lotaru: Locally Estimating Runtimes of Scientific Workflow Tasks in Heterogeneous Clusters Proceedings Article
In: 34th International Conference on Scientific and Statistical Database Management (SSDBM 2022), pp. 1–12, ACM, 2022.
