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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
169
Venue
CIDR
Year
2011
Pagerank
0.00013189886
Overall Rank
923 | 93.67%
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
735 Profiling, What-if Analysis, and Cost-based Optimization of MapReduce Programs 2011 VLDB 0.00014522606
1,079 Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML 2014 VLDB 0.00012258469
1,224 Dhalion: Self-Regulating Stream Processing in Heron 2017 VLDB 0.00011596911
1,250 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011485301
1,319 SkewTune: Mitigating Skew in MapReduce Applications 2012 SIGMOD 0.00011175005
1,686 Black or White? How to Develop an AutoTuner for Memory-based Analytics 2020 SIGMOD 0.00010008686
1,694 PerfXplain: Debugging MapReduce Job Performance 2012 VLDB 9.9953156e-05
3,096 Early Accurate Results for Advanced Analytics on MapReduce 2012 VLDB 7.7629371e-05
3,320 Autoscaling Tiered Cloud Storage in Anna 2019 VLDB 7.5223482e-05
3,459 A Comparative Evaluation of Systems for Scalable Linear Algebra-based Analytics 2018 VLDB 7.3953716e-05
3,573 VISTA: Optimized System for Declarative Feature Transfer from Deep CNNs at Scale 2020 SIGMOD 7.2977194e-05
4,224 Comparative Evaluation of Big-Data Systems on Scientific Image Analytics Workloads 2017 VLDB 6.8214304e-05
5,287 PREDIcT: Towards Predicting the Runtime of Large Scale Iterative Analytics 2013 VLDB 6.2815429e-05
5,390 Magnet: Push-based Shuffle Service for Large-scale Data Processing 2020 VLDB 6.2346971e-05
5,865 Speedup Your Analytics: Automatic Parameter Tuning for Databases and Big Data Systems 2019 VLDB 6.0619534e-05
6,082 iQCAR: inter-Query Contention Analyzer for Data Analytics Frameworks 2019 SIGMOD 5.9841079e-05
6,121 The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward 2021 VLDB 5.9688569e-05
6,344 Towards General and Efficient Online Tuning for Spark 2023 VLDB 5.9060457e-05
6,939 Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities 2022 SIGMOD 5.7338637e-05
6,946 KEA: Tuning an Exabyte-Scale Data Infrastructure 2021 SIGMOD 5.7309848e-05
7,546 MRTuner: A Toolkit to Enable Holistic Optimization for MapReduce Jobs 2014 VLDB 5.6024593e-05
7,619 AutoToken: Predicting Peak Parallelism for Big Data Analytics at Microsoft 2020 VLDB 5.5810604e-05
8,497 MapReduce Programming and Cost-based Optimization? Crossing this Chasm with Starfish 2011 VLDB 5.41357e-05
9,039 Tempo: Robust and Self-Tuning Resource Management in Multi-tenant Parallel Databases 2016 VLDB 5.3267474e-05
9,079 QMapper for Smart Grid: Migrating SQL-based Application to Hive 2015 SIGMOD 5.3251649e-05
9,639 IReS: Intelligent, Multi-Engine Resource Scheduler for Big Data Analytics Workflows 2015 SIGMOD 5.2434488e-05
9,737 Saturn: An Optimized Data System for Multi-Large-Model Deep Learning Workloads 2024 VLDB 5.227679e-05
10,565 LakeHelm: Zero-Shot Lakehouse Advisor for Joint Engine-Format Selection and Configuration 2026 VLDB 5.093636e-05
11,076 CloudGlide: Deconstructing the Landscape of Cloud-Based Analytics 2025 VLDB 5.093636e-05
11,264 Agile-Ant: Self-managing Distributed Cache Management for Cost Optimization of Big Data Applications 2024 VLDB 5.093636e-05
11,539 Juggler: Autonomous Cost Optimization and Performance Prediction of Big Data Applications 2022 SIGMOD 5.093636e-05
12,298 Optimization Strategies for A/B Testing on HADOOP 2013 VLDB 5.093636e-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 0.00031680027
155 MAD Skills: New Analysis Practices for Big Data 2009 VLDB 0.00028713176
660 Hadoop++: Making a Yellow Elephant Run Like a Cheetah (Without It Even Noticing) 2010 VLDB 0.00015198804
803 MRShare: Sharing Across Multiple Queries in MapReduce 2010 VLDB 0.00013899943
1,436 The Performance of MapReduce: An In-depth Study 2010 VLDB 0.00010797443
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