DfAnalyzer: Runtime Dataflow Analysis of Scientific Applications using Provenance
Summary: DfAnalyzer enables runtime dataflow analysis for scientific applications by capturing dataflow, provenance, and execution data to enable runtime queries. Lightweight, pluggable monitoring components integrate with scripts or Spark to enable monitoring, debugging, steering, and analysis. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Vítor Silva (Federal University of Rio de Janeiro)
- 2. Daniel de Oliveira (Fluminense Federal University)
- 3. Patrick Valduriez (INRIA; Laboratory of Computer Science, Robotics and Microelectronics of Montpellier)
- 4. Marta Mattoso (Federal University of Rio de Janeiro)
BibTeX Citation
@article{silva_vldb18,
title = {{DfAnalyzer: Runtime Dataflow Analysis of Scientific Applications using Provenance}},
author = {Silva, Vítor and de Oliveira, Daniel and Valduriez, Patrick and Mattoso, Marta},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {12},
pages = {2082--2085},
doi = {10.14778/3229863.3236265},
url = {https://doi.org/10.14778/3229863.3236265},
year = {2018}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,841 | Bolt-on, Verifiable Provenance for LLM-Powered Data Processing | 2026 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,445 | noWorkflow: a Tool for Collecting, Analyzing, and Managing Provenance from Python Scripts | 2017 | VLDB | 8.4570447e-05 |
| 3,445 | Slalom: Coasting Through Raw Data via Adaptive Partitioning and Indexing | 2017 | VLDB | 7.2943981e-05 |
| 3,455 | Scaling Spark in the Real World: Performance and Usability | 2015 | VLDB | 7.2884813e-05 |
| 7,008 | An Algebraic Approach for Data-Centric Scientific Workflows | 2011 | VLDB | 5.6225586e-05 |
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| 1 | 8,497 | Querying and Re-Using Workflows with VisTrails | 2008 | SIGMOD |
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| 4 | 8,507 | DataProf: Semantic Profiling for Iterative Data Cleansing and Business Rule Acquisition | 2018 | SIGMOD |
| 5 | 943 | Provenance and Scientific Workflows: Challenges and Opportunities | 2008 | SIGMOD |
| 6 | 12,160 | Ursprung: Provenance for Large-Scale Analytics Environments | 2019 | SIGMOD |
| 7 | 10,828 | Toward Temporal Attribution Analytics in Dataflows | 2026 | VLDB |
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| 9 | 6,621 | A Demonstration of DBWipes: Clean as You Query | 2012 | VLDB |
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