SkewTune in Action: Mitigating Skew in MapReduce Applications
Summary: SkewTune automatically mitigates data skew in MapReduce jobs, as a drop-in Hadoop replacement. Demonstration shows runtime skew mitigation on real cloud workloads and an interactive GUI detailing skew handling across real and synthetic skew. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. YongChul Kwon (University of Washington)
- 2. Magdalena Balazinska (University of Washington)
- 3. Bill Howe (University of Washington)
- 4. Jerome Rolia (Hewlett Packard Enterprise)
BibTeX Citation
@article{kwon_vldb12,
title = {{SkewTune in Action: Mitigating Skew in MapReduce Applications}},
author = {Kwon, YongChul and Balazinska, Magdalena and Howe, Bill and Rolia, Jerome},
journal = {PVLDB},
series = {{VLDB} '12},
volume = {5},
number = {12},
pages = {1934--1937},
doi = {10.14778/2367502.2367541},
url = {https://doi.org/10.14778/2367502.2367541},
year = {2012}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,351 | SkewTune: Mitigating Skew in MapReduce Applications | 2012 | SIGMOD | 0.00010934347 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 384 | HaLoop: Efficient Iterative Data Processing on Large Clusters | 2010 | VLDB | 0.0001948031 |
| 1,351 | SkewTune: Mitigating Skew in MapReduce Applications | 2012 | SIGMOD | 0.00010934347 |
| 2,978 | Clustera: An Integrated Computation And Data Management System | 2008 | VLDB | 7.7894665e-05 |
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