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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
0.00014442178
Overall Rank
1,048 | 92.72%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 32 of 32 citing papers.

Rank Citing Paper Year Venue Pagerank
866 Profiling, What-if Analysis, and Cost-based Optimization of MapReduce Programs 2011 VLDB 0.00015771189
1,081 Dhalion: Self-Regulating Stream Processing in Heron 2017 VLDB 0.00014201838
1,339 SkewTune: Mitigating Skew in MapReduce Applications 2012 SIGMOD 0.00012492978
1,407 Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML 2014 VLDB 0.00012163413
1,533 PerfXplain: Debugging MapReduce Job Performance 2012 VLDB 0.00011462982
1,534 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011462072
1,892 Black or White? How to Develop an AutoTuner for Memory-based Analytics 2020 SIGMOD 0.00010176219
2,892 VISTA: Optimized System for Declarative Feature Transfer from Deep CNNs at Scale 2020 SIGMOD 7.9570135e-05
3,247 Early Accurate Results for Advanced Analytics on MapReduce 2012 VLDB 7.3237519e-05
3,348 Comparative Evaluation of Big-Data Systems on Scientific Image Analytics Workloads 2017 VLDB 7.1897861e-05
3,645 Autoscaling Tiered Cloud Storage in Anna 2019 VLDB 6.882432e-05
3,953 A Comparative Evaluation of Systems for Scalable Linear Algebra-based Analytics 2018 VLDB 6.5896733e-05
5,587 Magnet: Push-based Shuffle Service for Large-scale Data Processing 2020 VLDB 5.4193445e-05
5,699 PREDIcT: Towards Predicting the Runtime of Large Scale Iterative Analytics 2013 VLDB 5.3655096e-05
6,125 iQCAR: inter-Query Contention Analyzer for Data Analytics Frameworks 2019 SIGMOD 5.1949154e-05
6,265 Speedup Your Analytics: Automatic Parameter Tuning for Databases and Big Data Systems 2019 VLDB 5.1294788e-05
6,278 The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward 2021 VLDB 5.1241654e-05
6,489 Towards General and Efficient Online Tuning for Spark 2023 VLDB 5.0373773e-05
7,099 KEA: Tuning an Exabyte-Scale Data Infrastructure 2021 SIGMOD 4.8263529e-05
7,291 Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities 2022 SIGMOD 4.7677422e-05
7,298 MRTuner: A Toolkit to Enable Holistic Optimization for MapReduce Jobs 2014 VLDB 4.7651301e-05
7,685 AutoToken: Predicting Peak Parallelism for Big Data Analytics at Microsoft 2020 VLDB 4.6753414e-05
8,355 MapReduce Programming and Cost-based Optimization? Crossing this Chasm with Starfish 2011 VLDB 4.5328622e-05
8,927 QMapper for Smart Grid: Migrating SQL-based Application to Hive 2015 SIGMOD 4.4229886e-05
9,064 Tempo: Robust and Self-Tuning Resource Management in Multi-tenant Parallel Databases 2016 VLDB 4.3994049e-05
9,504 IReS: Intelligent, Multi-Engine Resource Scheduler for Big Data Analytics Workflows 2015 SIGMOD 4.3300131e-05
9,603 Saturn: An Optimized Data System for Multi-Large-Model Deep Learning Workloads 2024 VLDB 4.3136057e-05
10,278 LakeHelm: Zero-Shot Lakehouse Advisor for Joint Engine-Format Selection and Configuration 2026 VLDB 4.1905499e-05
10,856 CloudGlide: Deconstructing the Landscape of Cloud-Based Analytics 2025 VLDB 4.1905499e-05
11,059 Agile-Ant: Self-managing Distributed Cache Management for Cost Optimization of Big Data Applications 2024 VLDB 4.1905499e-05
11,343 Juggler: Autonomous Cost Optimization and Performance Prediction of Big Data Applications 2022 SIGMOD 4.1905499e-05
12,109 Optimization Strategies for A/B Testing on HADOOP 2013 VLDB 4.1905499e-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
158 HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads 2009 VLDB 0.00040401371
169 MAD Skills: New Analysis Practices for Big Data 2009 VLDB 0.00038967371
789 Hadoop++: Making a Yellow Elephant Run Like a Cheetah (Without It Even Noticing) 2010 VLDB 0.00016602215
947 MRShare: Sharing Across Multiple Queries in MapReduce 2010 VLDB 0.00015112344
1,615 The Performance of MapReduce: An In-depth Study 2010 VLDB 0.00011137225
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