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An Algebraic Approach for Data-Centric Scientific Workflows

Summary: Algebraic approach inspired by relational algebra, plus a parallel execution model to automatically optimize data-centric scientific workflows. Validated on oil-exploitation and synthetic data with the Chiron engine, achieving up to 226% speedup vs ad-hoc implementations. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10196
Venue
VLDB
Year
2011
Pagerank
4.9114673e-05
Overall Rank
6,836 | 52.45%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
2,965 SQLShare: Results from a Multi-Year SQL-as-a-Service Experiment 2016 SIGMOD 7.8059273e-05
8,078 Meta-Dataflows: Efficient Exploratory Dataflow Jobs 2018 SIGMOD 4.5914967e-05
11,743 DfAnalyzer: Runtime Dataflow Analysis of Scientific Applications using Provenance 2018 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
3 Pig Latin: A Not-So-Foreign Language for Data Processing 2008 SIGMOD 0.0024183614
2,417 Dynamic Load Balancing in Hierarchical Parallel Database Systems 1996 VLDB 8.8604775e-05
3,674 An Approach to Optimize Data Processing in Business Processes 2007 VLDB 6.8558403e-05
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