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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
10223
Venue
VLDB
Year
2011
Pagerank
4.5372998e-05
Overall Rank
8,358 | 41.86%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
3,703 Multi-Query Optimization in MapReduce Framework 2014 VLDB 6.8289978e-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
868 Profiling, What-if Analysis, and Cost-based Optimization of MapReduce Programs 2011 VLDB 0.00015789681
1,071 Starfish: A Self-tuning System for Big Data Analytics 2011 CIDR 0.00014312777
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