Massively Parallel Data Analysis with PACTs on Nephele

Summary: Nephele/PACTs extend MapReduce with richer Parallelization Contracts that decouple data-processing logic from execution strategy, enabling compiler-driven optimization. Nephele executes the compiled dataflows as scalable, fault-tolerant DAGs with visualization support. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 10204
Venue: VLDB
Year: 2010
Pagerank: 5.4692179e-05
Overall Rank: 8,196 | 43.77%
DOI: 10.14778/1920841.1921008

Incoming Non-self Citations Over Time

Authors

1. Alexander Alexandrov (Technical University of Berlin)
2. Max Heimel (Technical University of Berlin)
3. Volker Markl (Technical University of Berlin)
4. Dominic Battré (Technical University of Berlin)
5. Fabian Hueske (Technical University of Berlin)
6. Erik Nijkamp (Technical University of Berlin)
7. Stephan Ewen (Technical University of Berlin)
8. Odej Kao (Technical University of Berlin)
9. Daniel Warneke (Technical University of Berlin)

BibTeX Citation

@article{alexandrov_vldb10,
        title = {{Massively Parallel Data Analysis with PACTs on Nephele}},
        author = {Alexandrov, Alexander and Heimel, Max and Markl, Volker and Battré, Dominic and Hueske, Fabian and Nijkamp, Erik and Ewen, Stephan and Kao, Odej and Warneke, Daniel},
        journal = {PVLDB},
        series = {{VLDB} '10},
        volume = {3},
        number = {2},
        pages = {1625--1628},
        doi = {10.14778/1920841.1921008},
        url = {https://doi.org/10.14778/1920841.1921008},
        year = {2010}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
9,509	Versatile Optimization of UDF-heavy Data Flows with Sofa	2014	SIGMOD	5.2581466e-05

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
1	Access Path Selection in a Relational Database Management System	1979	SIGMOD	0.0024089429

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