SAASFEE: Scalable Scientific Workflow Execution Engine
Summary: SAASFEE runs complex scientific workflows on Hadoop YARN via Cuneiform; Hi-WAY coordinates scalable execution. Highlights: iterative workflow support, adaptive scheduling, re-executable provenance, and interoperability across SWfMSs. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Marc Bux (Humboldt University of Berlin)
- 2. Jörgen Brandt (Humboldt University of Berlin)
- 3. Carsten Lipka (Humboldt University of Berlin)
- 4. Kamal Hakimzadeh (KTH Royal Institute of Technology)
- 5. Jim Dowling (KTH Royal Institute of Technology)
- 6. Ulf Leser (Humboldt University of Berlin)
BibTeX Citation
@article{bux_vldb15,
title = {{SAASFEE: Scalable Scientific Workflow Execution Engine}},
author = {Bux, Marc and Brandt, Jörgen and Lipka, Carsten and Hakimzadeh, Kamal and Dowling, Jim and Leser, Ulf},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {12},
pages = {1892--1895},
doi = {10.14778/2824032.2824094},
url = {https://doi.org/10.14778/2824032.2824094},
year = {2015}
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 919 | Provenance and Scientific Workflows: Challenges and Opportunities | 2008 | SIGMOD | 0.00013214041 |
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