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MapReduce Programming and Cost-based Optimization? Crossing this Chasm with Starfish

Summary: Starfish delivers the first cost-based optimizer for MapReduce programs with black-box map/reduce functions, enabling self-tuning for big-data analytics. A profiler, what-if engine, and Visualizer support execution insight, cost estimation under resource/data changes, and automatic optimization of MapReduce workflows. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10414
Venue
VLDB
Year
2011
Pagerank
5.41357e-05
Overall Rank
8,497 | 41.71%
DOI
10.14778/3402755.3402791

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{herodotou_vldb11,
        title = {{MapReduce Programming and Cost-based Optimization? Crossing this Chasm with Starfish}},
        author = {Herodotou, Herodotos and Dong, Fei and Babu, Shivnath},
        journal = {PVLDB},
        series = {{VLDB} '11},
        volume = {4},
        number = {12},
        pages = {1446--1449},
        doi = {10.14778/3402755.3402791},
        url = {https://doi.org/10.14778/3402755.3402791},
        year = {2011}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
3,163 Multi-Query Optimization in MapReduce Framework 2014 VLDB 7.6784171e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank Cited Paper Year Venue Pagerank
735 Profiling, What-if Analysis, and Cost-based Optimization of MapReduce Programs 2011 VLDB 0.00014522606
923 Starfish: A Self-tuning System for Big Data Analytics 2011 CIDR 0.00013189886
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