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Starfish: A Self-tuning System for Big Data Analytics

Summary: Starfish automatically tunes Hadoop MapReduce workflows to improve runtime, resource utilization, and cloud cost without manual knob fiddling. It adapts self-tuning DB techniques—cost models, profiling and reconfiguration—to MapReduce’s workload variability and pay‑as‑you‑go environments. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
hb6187a396092158c
Venue
CIDR
Year
2011
Pagerank
0.00012964445
Overall Rank
940 | 93.69%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{herodotou_cidr11,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '11},
        title = {{Starfish: A Self-tuning System for Big Data Analytics}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Herodotou, Herodotos and Lim, Harold and Luo, Gang and Borisov, Nedyalko and Dong, Liang and Cetin, Fatma Bilgen and Babu, Shivnath},
        year = {2011}
}

Incoming Citations (Sorted by Pagerank)

Showing 32 of 32 citing papers.

Rank Citing Paper Year Venue Pagerank
753 Profiling, What-if Analysis, and Cost-based Optimization of MapReduce Programs 2011 VLDB 0.00014237583
1,081 Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML 2014 VLDB 0.00012123917
1,233 Dhalion: Self-Regulating Stream Processing in Heron 2017 VLDB 0.00011405873
1,255 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011325762
1,351 SkewTune: Mitigating Skew in MapReduce Applications 2012 SIGMOD 0.00010934347
1,699 Black or White? How to Develop an AutoTuner for Memory-based Analytics 2020 SIGMOD 9.8445322e-05
1,708 PerfXplain: Debugging MapReduce Job Performance 2012 VLDB 9.8224587e-05
3,028 Autoscaling Tiered Cloud Storage in Anna 2019 VLDB 7.7377953e-05
3,145 Early Accurate Results for Advanced Analytics on MapReduce 2012 VLDB 7.5965257e-05
3,518 A Comparative Evaluation of Systems for Scalable Linear Algebra-based Analytics 2018 VLDB 7.2400627e-05
3,630 VISTA: Optimized System for Declarative Feature Transfer from Deep CNNs at Scale 2020 SIGMOD 7.1496182e-05
4,308 Comparative Evaluation of Big-Data Systems on Scientific Image Analytics Workloads 2017 VLDB 6.6735191e-05
5,386 PREDIcT: Towards Predicting the Runtime of Large Scale Iterative Analytics 2013 VLDB 6.1522468e-05
5,504 Magnet: Push-based Shuffle Service for Large-scale Data Processing 2020 VLDB 6.1018427e-05
5,967 Speedup Your Analytics: Automatic Parameter Tuning for Databases and Big Data Systems 2019 VLDB 5.9324372e-05
6,112 iQCAR: inter-Query Contention Analyzer for Data Analytics Frameworks 2019 SIGMOD 5.8826029e-05
6,245 The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward 2021 VLDB 5.837329e-05
6,450 Towards General and Efficient Online Tuning for Spark 2023 VLDB 5.7817872e-05
6,753 Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities 2022 SIGMOD 5.6904085e-05
7,069 Saturn: An Optimized Data System for Multi-Large-Model Deep Learning Workloads 2024 VLDB 5.6083188e-05
7,084 KEA: Tuning an Exabyte-Scale Data Infrastructure 2021 SIGMOD 5.6029455e-05
7,632 MRTuner: A Toolkit to Enable Holistic Optimization for MapReduce Jobs 2014 VLDB 5.4793438e-05
7,759 AutoToken: Predicting Peak Parallelism for Big Data Analytics at Microsoft 2020 VLDB 5.4575614e-05
8,663 MapReduce Programming and Cost-based Optimization? Crossing this Chasm with Starfish 2011 VLDB 5.2928264e-05
9,190 Tempo: Robust and Self-Tuning Resource Management in Multi-tenant Parallel Databases 2016 VLDB 5.2112843e-05
9,254 QMapper for Smart Grid: Migrating SQL-based Application to Hive 2015 SIGMOD 5.2056825e-05
9,815 IReS: Intelligent, Multi-Engine Resource Scheduler for Big Data Analytics Workflows 2015 SIGMOD 5.1257999e-05
10,747 LakeHelm: Zero-Shot Lakehouse Advisor for Joint Engine-Format Selection and Configuration 2026 VLDB 4.9793485e-05
11,433 CloudGlide: Deconstructing the Landscape of Cloud-Based Analytics 2025 VLDB 4.9793485e-05
11,592 Agile-Ant: Self-managing Distributed Cache Management for Cost Optimization of Big Data Applications 2024 VLDB 4.9793485e-05
11,848 Juggler: Autonomous Cost Optimization and Performance Prediction of Big Data Applications 2022 SIGMOD 4.9793485e-05
12,589 Optimization Strategies for A/B Testing on HADOOP 2013 VLDB 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Rank Cited Paper Year Venue Pagerank
120 HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads 2009 VLDB 0.000311132
154 MAD Skills: New Analysis Practices for Big Data 2009 VLDB 0.00028579704
673 Hadoop++: Making a Yellow Elephant Run Like a Cheetah (Without It Even Noticing) 2010 VLDB 0.0001488755
823 MRShare: Sharing Across Multiple Queries in MapReduce 2010 VLDB 0.00013648332
1,466 The Performance of MapReduce: An In-depth Study 2010 VLDB 0.00010569837
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