DataStorm-FE: A Data- and Decision-Flow and Coordination Engine for Coupled Simulation Ensembles
Summary: DataStorm-FE coordinates adaptive, coupled multi-model simulation ensembles under limited budgets. It unifies parameter sampling, output alignment/aggregation, state–provenance management, and interactive multivariate spatiotemporal exploration for decision-making. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Hans Walter Behrens (Arizona State University)
- 2. Ashish Gadkari (Arizona State University)
- 3. K. Selçuk Candan (Arizona State University)
- 4. Yash Garg (Arizona State University)
- 5. Xilun Chen (Arizona State University)
- 6. Mao-Lin Li (Arizona State University)
BibTeX Citation
@article{behrens_vldb18,
title = {{DataStorm-FE: A Data- and Decision-Flow and Coordination Engine for Coupled Simulation Ensembles}},
author = {Behrens, Hans Walter and Gadkari, Ashish and Candan, K. Selçuk and Garg, Yash and Chen, Xilun and Li, Mao-Lin},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {12},
pages = {1906--1909},
doi = {10.14778/3229863.3236221},
url = {https://doi.org/10.14778/3229863.3236221},
year = {2018}
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| 6,225 | CONFLuEnCE: CONtinuous workFLow ExeCution Engine | 2011 | SIGMOD | 5.9425753e-05 |
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